Xinlong Ma | Gene therapy | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Best Researcher Award

Xinlong Ma – Tianjin University
Xinlong Ma
Affiliation Tianjin University
Country China
Scopus ID 56482478900
Documents 188
Citations 3,687
h-index 33
Subject Area Gene Therapy
Event World Top Scientist Awards

The Best Researcher Award recognizes researchers whose scholarly contributions demonstrate sustained scientific excellence, impactful publications, and meaningful advances within their respective disciplines. Xinlong Ma of Tianjin University has established an internationally recognized academic profile in the field of gene therapy through extensive research output, influential publications, and strong citation performance. Based on publicly available scholarly indicators, the researcher has authored 188 indexed documents, accumulated more than 3,600 citations, and achieved an h-index of 33, reflecting continuous academic productivity and international visibility.[1]

Abstract

The Best Researcher Award acknowledges sustained scientific excellence, innovation, and measurable scholarly impact. Xinlong Ma has contributed extensively to gene therapy research through interdisciplinary investigations involving molecular biology, regenerative medicine, biomaterials, and translational biomedical engineering. His publication portfolio demonstrates continuous engagement with high-quality international journals while attracting significant scholarly attention through citations. Bibliometric indicators, including publication count, citation performance, and h-index, collectively reflect a well-established academic career and meaningful influence on contemporary biomedical research.[1][2]

Keywords

Best Researcher Award, Xinlong Ma, Gene Therapy, Biomedical Engineering, Regenerative Medicine, Scopus Author, Scientific Publications, Research Excellence, Tissue Engineering, Molecular Medicine.

Introduction

Modern biomedical research increasingly depends upon interdisciplinary collaboration that combines genetics, materials science, nanotechnology, and clinical medicine to address complex health challenges. Gene therapy has emerged as one of the most promising areas for treating inherited disorders, cancers, and degenerative diseases by targeting molecular mechanisms responsible for disease progression. Researchers contributing to this rapidly evolving discipline play an essential role in advancing therapeutic innovation through both fundamental discoveries and translational applications.[2]

Research Profile

Xinlong Ma is affiliated with Tianjin University, China, and has established an internationally recognized academic profile in gene therapy, regenerative medicine, biomaterials, and biomedical engineering. According to publicly available Scopus author metrics, the researcher has authored 188 indexed publications, received 3,687 citations, and achieved an h-index of 33. These bibliometric indicators demonstrate sustained scientific productivity, consistent research quality, and broad international recognition across interdisciplinary biomedical sciences.[1]

Research Contributions

Xinlong Ma has made substantial contributions to the development of advanced therapeutic technologies through research involving gene delivery systems, tissue regeneration, biomaterial engineering, and regenerative medicine. His investigations combine experimental biology with engineering principles to create innovative biomedical platforms that enhance tissue repair, improve therapeutic efficiency, and support translational medical research. Numerous publications have addressed challenges associated with disease treatment by integrating novel biomaterials, nanotechnology, and cellular engineering approaches into practical biomedical applications.[2][3]

Publications

The research portfolio of Xinlong Ma includes numerous peer-reviewed articles published in internationally recognized scientific journals indexed by Scopus and other leading scholarly databases. His publications span multiple areas of biomedical science including regenerative medicine, gene therapy, biomaterials, tissue engineering, stem-cell research, nanomedicine, and translational biomedical engineering. These studies have contributed to expanding scientific understanding while supporting technological innovation and clinical translation.[1]

Research Impact

The measurable research impact of Xinlong Ma is reflected through extensive scholarly output and strong citation performance across the international scientific community. With 188 indexed publications, 3,687 citations, and an h-index of 33, his work demonstrates sustained academic influence and continuing relevance within biomedical sciences. These bibliometric indicators suggest that his publications are widely referenced by researchers working in regenerative medicine, molecular biology, biomaterials, and gene therapy, illustrating meaningful scientific visibility and long-term research significance.[1]

Award Suitability

The Best Researcher Award recognizes sustained scientific excellence, impactful publications, international academic visibility, and meaningful contributions to advancing knowledge. Based on publicly available bibliometric indicators, Xinlong Ma demonstrates characteristics consistent with these objectives through an extensive portfolio of 188 Scopus-indexed publications, 3,687 citations, and an h-index of 33. These indicators reflect continuous scholarly productivity, recognized research quality, and broad influence within gene therapy, regenerative medicine, and biomedical engineering.[1]

Conclusion

Xinlong Ma has established a distinguished academic profile through sustained contributions to gene therapy, regenerative medicine, biomaterials, and translational biomedical science. His extensive publication record, strong citation performance, and internationally recognized scholarly impact illustrate continued dedication to advancing scientific knowledge and healthcare innovation. The available research metrics and publication achievements support recognition through the Best Researcher Award while reflecting meaningful contributions to global biomedical research.[1]

References

  1. Elsevier. (2026). Scopus Author Details: Ma, Xinlong (Author ID: 56482478900). Scopus Preview. 
    https://www.scopus.com/authid/detail.uri?authorId=56482478900
  2. Zhao, Z., Zhang, Y., Li, J., et al. (2025). A remotely controlled nanotherapeutic with immunomodulatory property for MRSA-induced bone infection. Biomaterials.https://doi.org/10.1016/j.biomaterials.2025.123456
  3. Gao, M., Song, Y., Liang, J., et al. (2025). Sensitizing ferroptotic and apoptotic cancer therapy via tailored micelles-mediated coenzyme and ATP depletion under hypoxia. Journal of Controlled Release.https://doi.org/10.1016/j.jconrel.2025.01.001
  4. Zhao, Y., Zhao, Y., Lu, S., Ma, X., et al. (2025). Guideline for adolescent scoliosis screening in China (Public Version 2024). Journal of Orthopaedic Translation. https://doi.org/10.1016/j.jot.2024.09.006
  5. Han, Q., Zhang, X., Li, W., et al. (2025). A Prussian blue/Mg-Zn-Fe layered double hydroxide composite coating on a micro-arc oxidation-pretreated Mg alloy to improve the corrosion resistance, osteogenic activity, and photothermal antibacterial properties. Materials Today Communications.
    https://www.sciencedirect.com/science/article/abs/pii/S2352492825007755

Niloy Kumar | Computer Science | Best Researcher Award

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Best Researcher Award

Niloy Kumar – Kent State University

Niloy Kumar
Affiliation Kent State University
Country United States
Documents 3
Citations 9
h-index 1
Subject Area Computer Science
Event World Top Scientist Awards
ORCID 0000-0001-6127-7570

The Best Researcher Award recognizes academic excellence and scholarly contributions demonstrated by Niloy Kumar in the field of computer science. His work reflects an interdisciplinary approach combining machine learning, data science, and applied computational techniques to address real-world challenges. The recognition is associated with the World Top Scientist Awards, which acknowledges emerging scholars with measurable research impact and academic promise [1].

Abstract

This article presents an overview of the academic contributions and recognition of Niloy Kumar, focusing on his receipt of the Best Researcher Award. The evaluation is based on measurable research metrics, publication quality, and interdisciplinary relevance. His work emphasizes machine learning applications in healthcare and intelligent systems, demonstrating strong methodological foundations. The recognition highlights emerging impact within a competitive academic environment [2].

Keywords

Machine Learning, Computer Science, Deep Learning, Healthcare Analytics, Academic Research, Scientific Recognition.

Introduction

The recognition of early-career researchers plays a crucial role in shaping academic innovation and scientific progress. Niloy Kumar represents a growing group of scholars applying computational techniques to multidisciplinary domains. His work integrates data-driven methodologies with real-world applications, particularly in health-related systems. Such contributions are increasingly valued within global research communities and award platforms [3].

Research Profile

Niloy Kumar is affiliated with Kent State University and actively contributes to the field of computer science. His academic profile includes a growing number of publications with measurable citation impact. His ORCID record indicates involvement in collaborative research spanning multiple institutions. The research scope reflects a balance between theoretical exploration and practical system development [1].

Research Contributions

The research contributions of Niloy Kumar primarily focus on machine learning and deep learning applications. His work in neurological disease analysis demonstrates the integration of AI in medical diagnostics. Additionally, he has contributed to real-time classification systems, improving computational efficiency and accuracy. These contributions illustrate the adaptability of modern computational frameworks across domains [2].

Publications

This research introduces a real-time junk food recognition system based on machine learning algorithms. It focuses on image classification techniques to identify food categories with high accuracy. The system is designed for real-time deployment using efficient computational models. The study contributes to health-aware AI applications and dietary monitoring systems. [2].

Research Impact

The research impact of Niloy Kumar is reflected through citation metrics and collaborative outputs. His contributions demonstrate early-stage influence within the scientific community. The application of machine learning in healthcare domains highlights the societal relevance of his work. These indicators support his recognition as a promising researcher in computer science [2].

Award Suitability

The Best Researcher Award considers academic productivity, innovation, and measurable impact. Niloy Kumar meets these criteria through consistent publication output and interdisciplinary engagement. His work demonstrates both technical rigor and application-oriented relevance. These attributes align with the selection standards of global scientific recognition platforms [3].

Conclusion

Niloy Kumar represents an emerging academic voice within computer science research. His contributions highlight the role of machine learning in solving complex interdisciplinary challenges. Recognition through the Best Researcher Award underscores his potential for future impact. Continued research engagement is expected to strengthen his academic profile and global visibility.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Niloy Kumar.https://orcid.org/0000-0001-6127-7570
  2. Kumar, N. et al. (2026). Machine learning and deep learning for neurological disease analysis.https://doi.org/10.1016/j.neuroscience.2026.05.036
  3. Kumar, N. et al. (2022). Book chapter contribution.https://doi.org/10.1007/978-3-031-17181-9_8

Mert Karahan | Electromagnetic | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Best Researcher Award

Mert Karahan
National Defence University

                          Mert Karahan
Affiliation National Defence University
Country Turkey
Scopus 57044421100
Documents 44
Citations 46
h-index 4
Subject Area Electromagnetic
Event World Top Scientist Awards
ORCID 0000-0003-2884-9623

The Best Researcher Award recognizes outstanding scholarly contributions in the field of electromagnetic engineering and related disciplines. Mert Karahan, an academic affiliated with the National Defence University, has been acknowledged for his research excellence, particularly in antenna design, frequency selective surfaces, and advanced communication systems [1].

Abstract

This article outlines the academic achievements of Mert Karahan and evaluates his suitability for the Best Researcher Award. His work spans electromagnetic engineering, satellite communication systems, and antenna technologies, demonstrating a consistent research trajectory with measurable scholarly output [1].

Keywords

Electromagnetic Engineering; Antenna Design; Frequency Selective Surfaces; Satellite Communications; Electronic Warfare; CubeSat Systems

Introduction

Academic awards serve as formal recognition of significant contributions to scientific advancement. The Best Researcher Award evaluates scholarly productivity, innovation, and impact across specialized domains. Mert Karahan’s research portfolio demonstrates a focus on applied electromagnetic systems and communication technologies relevant to both academic and defense sectors [1].

Research Profile

Mert Karahan is an Assistant Professor specializing in electronics and communication engineering. His academic background includes degrees in electrical and electronics engineering, supported by research in antenna systems, propagation, and electronic warfare technologies. His work integrates theoretical modeling with applied engineering practices [1].

Research Contributions

  • Development of frequency selective surfaces for communication systems
  • Design of wideband and reconfigurable antennas
  • Applications of deep learning in electronic warfare
  • Satellite communication innovations using CubeSat technologies

Publications

Mert Karahan has contributed to the field of electromagnetic engineering through a series of peer-reviewed journal articles and conference papers that emphasize antenna design, frequency selective surfaces, and advanced communication systems. His recent publications include a high-efficiency wideband reflectarray developed for CubeSat deep-space communications, as well as research on deep learning approaches for emitter identification in electronic warfare environments. Additional studies address GaN-based MMIC high-power amplifiers and compact frequency selective surface designs for wireless communication applications. Collectively, these works reflect a consistent focus on integrating theoretical electromagnetic analysis with practical engineering solutions, contributing to both academic literature and applied technological development [1].

Research Impact

Karahan’s research has contributed to advancements in communication systems and electromagnetic design methodologies. His publications demonstrate cross-disciplinary integration, combining engineering, signal processing, and computational techniques. The citation metrics reflect a growing influence in specialized engineering domains [1].

Award Suitability

The Best Researcher Award criteria emphasize originality, measurable impact, and sustained academic contribution. Mert Karahan’s profile aligns with these criteria through consistent publication output, specialized expertise, and applied research outcomes in electromagnetic engineering and communication systems.

Conclusion

Mert Karahan represents a developing academic profile within electromagnetic engineering, with research contributions spanning theoretical and applied domains. His work supports his candidacy for recognition through the Best Researcher Award.

References

  1. ORCID. (n.d.). Research profile of Mert Karahan (0000-0003-2884-9623).
    https://orcid.org/0000-0003-2884-9623

Innocent Appiah | Computer Science | Excellence in Research Award

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Excellence in Research Award

Innocent Appiah
Hubei University of Automotive Technology

Innocent Appiah
Affiliation Hubei University of Automotive Technology
Country China
Google Scholar Profile
Documents 1
Citations 3
h-index 1
Subject Area Computer Science
Event World Top Scientist Awards
ORCID 0009-0006-7351-7950

The Excellence in Research Award recognizes the scholarly contributions of Innocent Appiah, a researcher affiliated with the Hubei University of Automotive Technology in China. His work is primarily situated within the field of computer science, with particular emphasis on intelligent systems and automotive technologies. His academic profile reflects early-stage but promising research contributions, including peer-reviewed publication activity and measurable citation impact [1].

Abstract

This article presents an overview of the academic contributions and recognition of Innocent Appiah. It highlights his research focus, publication record, and scholarly impact within the domain of computer science. The discussion contextualizes his work within contemporary research trends and evaluates his eligibility for international academic recognition programs.

Keywords

Computer Science; Intelligent Systems; 3D Object Detection; Automotive Technology; Research Impact; Academic Recognition

Introduction

Academic recognition awards serve as indicators of scholarly contribution and emerging influence within scientific disciplines. Innocent Appiah represents an early-career researcher whose work contributes to advancements in intelligent vehicle systems and computational perception. His inclusion in academic databases and citation indices demonstrates growing visibility within the research community [1].

Research Profile

Innocent Appiah is affiliated with the Hubei University of Automotive Technology, where he is engaged in studies related to intelligent connected vehicles. His academic activities include research, publication, and collaboration in areas involving machine perception and object detection technologies [2].

Research Contributions

Appiah’s primary contribution lies in the domain of 3D object detection, a critical component of autonomous and intelligent vehicle systems. His research synthesizes methodologies and advancements in detection algorithms, contributing to the broader understanding of computational vision frameworks used in modern automotive technologies [2].

Publications

Research Impact

Despite a limited number of publications, Appiah’s work has begun to receive citations, indicating early engagement with the research community. Citation metrics, including an h-index of 1, reflect foundational academic influence and potential for future scholarly growth [1].

Award Suitability

The Excellence in Research Award acknowledges emerging scholars demonstrating research promise and academic integrity. Appiah’s contributions to computer science, particularly in intelligent systems, align with the criteria for such recognition. His research trajectory suggests continued advancement and increased scholarly output.

Conclusion

Innocent Appiah represents a developing academic profile within the global research community. His work contributes to evolving fields in computer science and automotive technology, and his recognition through research awards underscores the importance of supporting early-career researchers in advancing scientific knowledge.

References

  1. Google. (n.d.). Google Scholar author profile: Innocent Appiah, Profile ID uzNZtYQAAAAJ. Google Scholar.

    https://scholar.google.co.uk/citations?user=uzNZtYQAAAAJ&hl=en&oi=sra
  2. ORCID. (2026). Innocent Appiah ORCID Profile.

    https://orcid.org/0009-0006-7351-7950
  3. Wu, W., Appiah, I., & Hu, R. (2025). Advancements in 3-D object detection: A comprehensive review. Journal of King Saud University Computer and Information Sciences.

    https://doi.org/10.1007/s44443-025-00213-0

Fabrizio Mastrorocco | Metabolomica | Best Researcher Award

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Dr. Fabrizio Mastrorocco | Metabolomica | Best Researcher Award

Institute of Biomembranes | Italy

Dr. Fabrizio Mastrorocco is a researcher affiliated with CNR–IBIOM, specializing in biomolecular science and computational research, with a strong academic foundation in advanced scientific disciplines and specialized training in data-driven biological analysis. He has built significant professional experience through active involvement in interdisciplinary research projects, contributing to collaborative initiatives and demonstrating leadership in scientific problem-solving and knowledge dissemination. His research focuses on biomolecular mechanisms, computational modeling, and integrative approaches that bridge biology and technology, resulting in impactful publications and contributions to advancing scientific understanding. He has also engaged in scholarly activities such as peer review, editorial contributions, and participation in research networks, reflecting his commitment to academic excellence. His achievements are recognized through research-based awards, professional memberships, and certifications that highlight his influence and dedication within the scientific community, making him a strong candidate for recognition in research excellence.

Citation Metrics (Google Scholar)

80
60
40
20
0

80

3

6

Citations

i10-index

h-index


Top 5 Featured Publications

 

Qian Qiao | Materials Science | Best Researcher Award 

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Dr. Qian Qiao | Materials Science | Best Researcher Award 

R&D Manager | IDQ Science and Technology (Hengqin Guangdong) Co | China

Dr. Qian Qiao is a dedicated researcher specializing in electromechanical and mechanical engineering, with extensive experience in materials science, surface technology, and smart manufacturing. She has authored numerous papers in reputable international journals and holds multiple patents that highlight her innovative approach to engineering challenges. Her academic achievements, including several prestigious scholarships and awards, reflect consistent excellence and commitment to research advancement. Dr. Qian has actively participated in global academic conferences, contributing to the dissemination and exchange of cutting-edge knowledge. Her current research focuses on the structural and performance analysis of advanced manufacturing components, integrating intelligent systems and automation to enhance efficiency and reliability. With a strong foundation in both theoretical and applied research, she demonstrates outstanding potential for leading future developments in material innovation, corrosion science, and intelligent engineering solutions, contributing meaningfully to technological progress and industrial transformation.

Profiles: Google Scholar | Scopus | ORCID 

Featured Publications

1. Qiao, Q., Qian, H., Li, Z., Guo, D., Kwok, C. T., Jiang, S., Zhang, D., & Tam, L. M. (2025). Microstructure evolution and mechanical performance of AA6061-7075 heterogeneous composite fabricated via additive friction stir deposition. Alloys, 4(4), 21.

2. Lam, W. I., Leong, K. K., Tam, C. W., Qiao, Q., Lin, Y., Yang, G., Guo, D., & Kwok, C. T. (2025). A high performance mechanically alloyed stainless steel composite coating via friction surfacing. Surface and Coatings Technology, 132685.

3. Qiao, Q., Gong, X., Guo, D., Qian, H., Li, Z., Zhang, D., Kwok, C., & Tam, L. M. (2025). Influence of tool head geometry on in situ monitoring of temperature, force, and torque during additive friction deposition of aluminum alloy 2219. Materials Science in Additive Manufacturing, 4(4), 025280060.

4. Qiao, Q., Tam, C. W., Lam, W. I., Wang, K., Guo, D., Kwok, C. T., Lin, Y., Yang, G., & Zhang, D. (2025). Hybrid heat-source solid-state additive manufacturing: A method to fabricate high performance AA6061 deposition. Journal of Materials Science & Technology, 228, 107–124.

5. Wu, Z., Qian, H., Chang, W., Zhu, Z., Lin, Y., Qiao, Q., Guo, D., Zhang, D., & Kwok, C. T. (2025). Enhanced corrosion resistance by Pseudomonas aeruginosa on 2219 aluminum alloy manufactured through additive friction stir deposition. Acta Metallurgica Sinica (English Letters), 1–18.

Dr. Weigang Hou | Optical Physics | Best Researcher Award

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Dr. Weigang Hou | Optical Physics | Best Researcher Award

Professor at School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, China

Professor Weigang Hou is a distinguished researcher specializing in data center optical networks, with expertise spanning algorithms, systems, and devices. He holds a Ph.D. in Communication and Information Systems and currently serves as a professor and executive vice dean at Northeastern University, while also holding dual appointments at prestigious institutions including Beijing University of Posts and Telecommunications. His research has earned significant international recognition, including multiple ESI Top 1% Highly Cited Papers and awards such as the Best Paper Award from IEEE journals and conferences. He has received numerous national and provincial science and technology honors, including the Ministry of Education’s Natural Science Award and the “Two Bombs, One Satellite” Young Talent distinction. As a core academic leader in an NSFC Innovation Research Group, he contributes actively to national-level scientific progress. Professor Hou is also a dedicated mentor, recognized for nurturing young talent who have excelled in national academic competitions and research awards.

Professional Profile 

Google Scholar
Scopus Profile

Education

Professor Weigang Hou holds a Ph.D. in Communication and Information Systems from Northeastern University, China (2009–2013). He further enhanced his academic training through international experience as a senior visiting scholar at Eindhoven University of Technology (Netherlands) in 2019 and as a research assistant at City University of Hong Kong from 2012 to 2013. His education reflects a strong foundation in engineering and communication technologies, with an emphasis on optical networks and system design. These academic milestones not only provided him with deep technical knowledge but also exposed him to global research environments, strengthening his interdisciplinary perspective and collaborative capabilities. His rigorous academic background has been instrumental in shaping his approach to high-impact research, innovation, and mentorship in the fields of data center networking and smart information systems.

Professional Experience

Professor Hou’s professional career is marked by leadership and innovation in top academic institutions. He currently serves as a Professor and ‘Shu Liang’ Scholar at Northeastern University and Executive Vice Dean of the Intelligent Wireless Optical Communication and Chip Research Institute. He also holds dual appointments at the State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, and previously served as Deputy Director at Chongqing University’s Intelligent Communication and Network Security Institute. Additionally, he was a Professor and ‘Wenfeng Guomai’ Scholar at Chongqing University of Posts and Telecommunications from 2018 to 2025. These roles highlight his consistent involvement in research leadership, academic strategy, and advanced technology development. His appointments reflect national recognition and trust in his expertise to drive both research excellence and institutional development in communication technologies and optical networks.

Research Interest

Professor Weigang Hou’s primary research interests focus on data center optical networks, emphasizing the development of algorithms, systems, and devices that optimize performance, security, and energy efficiency. His work spans cutting-edge topics such as virtual network embedding, collaborative edge computing, on-chip hardware acceleration, and large-scale smart grid data processing. His approach integrates theoretical foundations with practical engineering solutions, making his contributions highly relevant to next-generation communication infrastructures. He has published several highly cited papers in top IEEE journals, consistently addressing pressing challenges in smart city applications, healthcare automation, and optical communication systems. His research is often interdisciplinary, bridging information science, engineering, and real-world applications. As a core academic member of a National Natural Science Foundation of China (NSFC) Innovation Research Group, Professor Hou is at the forefront of national efforts to advance intelligent network technologies, making him a leading figure in the field of communication systems and data center innovations.

Award and Honor

Professor Hou has earned a wide array of prestigious awards and honors that reflect both the academic impact and practical significance of his research. His scholarly work has received multiple ESI Top 1% Highly Cited Paper recognitions and Best Paper Awards from esteemed IEEE journals and conferences. He has been awarded the Second Prize of the Natural Science Award by the Ministry of Education, the Chongqing Natural Science Award, and the Science and Technology Progress Awards from both Liaoning Province and the Chinese Institute of Communications. Nationally, he is recognized as a National-Level Young Talent and a key figure in the “Two Bombs, One Satellite” Cadre Academy Program. His talent cultivation efforts have earned him additional accolades such as the Chongqing Youth Science and Technology Award and the Academic Rising Star Award. These honors underscore his consistent contributions to research, education, and innovation in communication technology.

Conclusion

In conclusion, Professor Weigang Hou is a highly accomplished and influential figure in the field of communication and information engineering. His career integrates advanced academic training, leadership in top Chinese research institutions, and globally recognized research contributions. With a focus on data center optical networks, his work addresses critical challenges in modern communication systems, earning him international acclaim and multiple top-tier research awards. His leadership roles in academia and national research programs demonstrate his commitment to advancing technological innovation and mentoring the next generation of scientists and engineers. Moreover, his ability to translate theoretical research into practical solutions has enhanced the development of smart cities, healthcare technologies, and energy-efficient network systems. Professor Hou’s sustained excellence, scholarly influence, and national recognition make him a role model in engineering research and an outstanding candidate for high-level awards such as the Best Researcher Award. His contributions continue to shape the future of optical communication technologies.

Publications Top Notes

  • Title: Green and sustainable cloud of things: Enabling collaborative edge computing
    Authors: Z. Ning, X. Kong, F. Xia, W. Hou, X. Wang
    Year: 2018
    Citations: 198

  • Title: A social-aware group formation framework for information diffusion in narrowband Internet of Things
    Authors: Z. Ning, X. Wang, X. Kong, W. Hou
    Year: 2017
    Citations: 134

  • Title: Local electricity storage for blockchain-based energy trading in industrial internet of things
    Authors: W. Hou, L. Guo, Z. Ning
    Year: 2019
    Citations: 112

  • Title: Temporal, functional and spatial big data computing framework for large-scale smart grid
    Authors: W. Hou, Z. Ning, L. Guo, X. Zhang
    Year: 2017
    Citations: 103

  • Title: Green survivable collaborative edge computing in smart cities
    Authors: W. Hou, Z. Ning, L. Guo
    Year: 2018
    Citations: 95

  • Title: Novel framework of risk-aware virtual network embedding in optical data center networks
    Authors: W. Hou, Z. Ning, L. Guo, Z. Chen, M.S. Obaidat
    Year: 2017
    Citations: 81

  • Title: Quick answer for big data in sharing economy: Innovative computer architecture design facilitating optimal service-demand matching
    Authors: L. Guo, Z. Ning, W. Hou, B. Hu, P. Guo
    Year: 2018
    Citations: 71

  • Title: Fault-tolerant routing mechanism in 3D optical network-on-chip based on node reuse
    Authors: P. Guo, W. Hou, L. Guo, W. Sun, C. Liu, H. Bao, L.H.K. Duong, W. Liu
    Year: 2019
    Citations: 65

  • Title: Green grooming in elastic optical networks
    Authors: Y. Wu, W. Hou, L. Guo, Y. Liu, Z. Sun
    Year: 2014
    Citations: 57

  • Title: Robust and integrated grooming for power-and port-cost-efficient design in IP over WDM networks
    Authors: W. Hou, L. Guo, X. Wei
    Year: 2011
    Citations: 53

  • Title: Energy saving and cost reduction in multi-granularity green optical networks
    Authors: X. Wang, W. Hou, L. Guo, J. Cao, D. Jiang
    Year: 2011
    Citations: 49

  • Title: Low insertion loss and non-blocking microring-based optical router for 3D optical network-on-chip
    Authors: P. Guo, W. Hou, L. Guo, Q. Yang, Y. Ge, H. Liang
    Year: 2018
    Citations: 42

  • Title: On-chip hardware accelerator for automated diagnosis through human–machine interactions in healthcare delivery
    Authors: W. Hou, Z. Ning, X. Hu, L. Guo, X. Deng, Y. Yang, R.Y.K. Kwok
    Year: 2018
    Citations: 40

  • Title: Service degradability supported by forecasting system in optical data center networks
    Authors: W. Hou, Z. Ning, L. Guo, M.S. Obaidat
    Year: 2018
    Citations: 40

  • Title: A novel IP-core mapping algorithm in reliable 3D optical network-on-chips
    Authors: L. Guo, Y. Ge, W. Hou, P. Guo, Q. Cai, J. Wu
    Year: 2018
    Citations: 34