Professor | Shanxi University | China
Prof. Xin-Jian Wen is a distinguished theoretical physicist specializing in strongly interacting matter, QCD phase transitions, and strange quark matter under extreme conditions. His research has provided significant insights into the stability of strangelets, the behavior of quark matter in strong magnetic fields, and the mixed-phase structure of compact stars, combining innovative theoretical models with advanced computational approaches. With a career spanning over a decade, he has contributed extensively to high-impact journals, reflecting a consistent record of scholarly excellence and international recognition. His work not only advances fundamental understanding in nuclear and particle physics but also opens pathways for applications in astrophysics and high-energy physics. Beyond research, Prof. Wen has demonstrated leadership in mentoring students and teaching at Shanxi University, fostering a new generation of physicists. His measurable research impact is evidenced on Scopus with 567 citations, 43 documents, and an h-index of 11.
Profiles: Google Scholar | Scopus
Featured Publications
1. Wen, X., & Zhen, L. (2020). Soil erosion control practices in the Chinese Loess Plateau: A systematic review. Environmental Development, 34, 100493.
2. Wen, X., Deng, X., & Zhang, F. (2019). Scale effects of vegetation restoration on soil and water conservation in a semi-arid region in China: Resources conservation and sustainable management. Resources, Conservation and Recycling, 151, 104474.
3. Wen, X., & Deng, X. (2020). Current soil erosion assessment in the Loess Plateau of China: A mini-review. Journal of Cleaner Production, 276, 123091.
4. Wen, X., & Théau, J. (2020). Spatiotemporal analysis of water-related ecosystem services under ecological restoration scenarios: A case study in northern Shaanxi, China. Science of the Total Environment, 720, 137477.
5. Adeel, Z., Bakkensen, L., Cabrera-Rivera, O., Franco, E., Garfin, G. M., et al. (2020). Developing a comprehensive methodology for evaluating economic impacts of floods in Canada, Mexico and the United States. International Journal of Disaster Risk Reduction, 50, 101861.