Shaokai Wang l Engineering Geology | Research Excellence Award

Dr. Shaokai Wang l Engineering Geology | Research Excellence Award

North China University of Water Resources and Electric Power | China

Dr. Shaokai Wang is a geological engineering scholar with a Ph.D. in Geological Engineering and academic affiliation at North China University of Water Resources and Electric Power. With five years of teaching and research experience, Dr. Shaokai Wang has contributed to undergraduate and postgraduate instruction while advancing scientific research. His research interests focus on geological engineering, geotechnical engineering, loess geohazards, soil improvement technologies, and disaster mechanisms. He has led and participated in National Natural Science Foundation of China projects, published SCI-indexed journal articles, and developed strong research skills in field investigation, laboratory testing, numerical analysis, and academic writing. His work demonstrates sustained innovation and growing academic impact in geological engineering.

Citation Metrics (Scopus)

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Citations
463

Documents
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h-index
7

Citations

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Featured Publication

Static liquefaction capacity of saturated undisturbed loess in South Jingyang platform
Water (Switzerland), 2020

Article · Open Access · Co-authored · Citations: 11

Anatoly Vershinin | Algorithm Development | Best Researcher Award

Prof. Anatoly Vershinin | Algorithm Development | Best Researcher Award

Lomonosov Moscow State University | Russia

Professor Anatoly Vershinin is a distinguished computational mechanics researcher at Lomonosov Moscow State University, holding a Doctorate in Physical and Mathematical Sciences. Graduating with honors from the Faculty of Mechanics and Mathematics in 2006, he has been a core member of the Chair of Computational Mechanics since 2009. With an h-index of 11 and over 321 citations, Professor Vershinin has authored 51 journal articles, 4 books, and holds 33 patents, contributing significantly to numerical modeling, high-performance computing, and computational mechanics. His research focuses on numerical discretization methods for nonlinear partial differential equations and parallel algorithms for massively parallel computing systems, underpinning the industrial structural engineering software CAE Fidesys. He has led or contributed to 11 research projects and multiple consultancy initiatives in collaboration with institutes such as the Schmidt Institute of Physics of the Earth and Saudi Aramco Moscow Innovation Center. An active member of the International Program Committee for “Advanced Mechanics: Structure, Materials, Tribology,” he bridges academia and industry, driving innovations in structural analysis and computational methods. His contributions have earned recognition for advancing numerical methods, high-performance simulations, and practical engineering applications, establishing him as a leading figure in computational mechanics research.

Profiles : Scopus | Orcid | Research Gate

Featured Publications

Yarushina, V. M.; Podladchikov, Y. Y.; Vershinin, A. V. (2025). “A Micromechanical Model for Mineral Replacement Reactions and Associated Deformation: From Pore Clogging to Solid Volume Increase” in American Journal of Science.

Ampilov, Y. P.; Vershinin, A. V.; Kunchenko, D. S.; Petrovsky, K. A.; Safuanova, K. R. (2025). “Prediction of Thin-Layer Thickness Using Seismic Full-Waveform Modeling” in Moscow University Geology Bulletin.

Levin, V. A.; Vershinin, A. V. (2024). “CAE Fidesys as the Implementation of Fundamental Results of Computational Mechanics into Industry” in International Scientific Conference “Advanced Mechanics: Structure, Materials, Tribology”, Samarkand, Uzbekistan, 23-26 сентября 2024. Abstracts

Levin, V. A.; Vershinin, A. V.; Yakovlev, M. Ya; Levchegov, I. O.; Zhmurovsky, A. A. (2024). “Computed Tomography Based Stress-Strain Analysis of Heterogeneous Models of Rocks and Biological Tissues Using Unstructured Meshes” in Russian Physics Journal.

Vershinin, A.; Ampilov, Y.; Levin, V.; Petrovsky, K. (2024). “Full waveform modeling in seismic exploration based on a digital geological model using spectral element method on GPU” in 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics.