中国地质大学主页平台管理系统 MJW--Home--Paper Publications

马俊伟

Doctoral Supervisor

Honors and Titles: 两篇第一作者/通讯作者论文入选ESI全球0.1%热点四篇第一作者/通讯作者论文入选ESI全球1%高被引自然资源科学技术奖一项湖北省科学技术进步奖一项 2024年度“优秀硕士学位论文”指导老师 2025年度“优秀硕士学位论文”指导老师

Gender : Male
Date of Birth : 1988-07-01
Education Level : Doctoral Degree in Education
Degree : Doctoral Degree in Engineering
Status : 在岗
School/Department : 湖北巴东地质灾害国家野外科学观测研究站
Date of Employment : 2016-09-01

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Paper Publications

[1] Junwei Ma*, Ding Xia, Haixiang Guo, Yankun Wang, Xiaoxu Niu, Zhiyang Liu, Sheng Jiang (2022). Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study. Landslides, 19: 2489-2511. doi: 10.1007/s10346-022-01923-6. (Corresponding author, ESI Hot and Highly Cited Paper)
[2] Junwei Ma*, Yankun Wang, Xiaoxu Niu, Sheng Jiang, Zhiyang Liu (2022). A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression. Stochastic Environmental Research and Risk Assessment, 36: 3109-3129. doi:10.1007/s00477-022-02183-5. (Corresponding author, ESI Highly Cited Paper)
[3] Junwei Ma*, Ding Xia, Yankun Wang, Xiaoxu Niu, Sheng Jiang, Zhiyang Liu, Haixiang Guo (2022). A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide displacement prediction. Engineering Applications of Artificial Intelligence, 114: 105150. doi: 10.1016/j.engappai.2022.105150 (Corresponding author, ESI Highly Cited Paper)
[4] Yankun Wang, Huiming Tang*, Jinsong Huang, Tao Wen, Junwei Ma*, Junrong Zhang (2022). A comparative study of different machine learning methods for reservoir landslide displacement prediction. Engineering Geology, 298: 106544. doi:10.1016/j.enggeo.2022.106544. (Corresponding author, ESI Hot and Highly Cited Paper)
[5] Ren, Zhiyuan, Ma, Junwei, Liu, Jiayu, Deng, Xin, Zhang, Guangcheng, & Guo, Haixiang. (2024). Enhancing deep learning-based landslide detection from open satellite imagery via multisource data fusion of spectral, textural, and topographical features: a case study of old landslide detection in the Three Gorges Reservoir Area (TGRA). Geocarto International, 39(1), 2421224. https://doi.org/10.1080/10106049.2024.2421224
[6] Junwei Ma*, Jie Dou (2023). Editorial: Machine learning modeling for spatial-temporal prediction of geohazard. Sensors, 23(22), 9262; doi: 10.3390/s23229262. (Corresponding author)
[7] Junwei Ma*, Dongze Lei, Zhiyuan Ren, Chunhai Tan, Ding Xia, Haixiang Guo (2023). Automated machine learning-based landslide susceptibility mapping for the Three Gorges Reservoir area, China. Mathematical Geosciences, 1-36. doi: 10.1007/s11004-023-10116-3 (Corresponding author)
[8] Lei, Dongze, Ma, Junwei, Zhang, Guangcheng, Wang, Yankun, Deng, Xin, & Liu, Jiayu. (2024). Bayesian ensemble learning and Shapley additive explanations for fast estimation of slope stability with a physics-informed database. Natural Hazards. https://doi.org/10.1007/s11069-024-06917-2
[9] Zhiyang Liu, Junwei Ma*, Ding Xia, Sheng Jiang, Zhiyuan Ren, Chunhai Tan, Dongze Lei, Haixiang Guo (2023). Toward the reliable prediction of reservoir landslide displacement using earthworm optimization algorithm-optimized support vector regression (EOA-SVR). Natural Hazards, 1-24. doi: 10.1007/s11069-023-06322-1. (Corresponding author)
[10] Junwei Ma, Huiming Tang*, Xinli Hu, Antonio Bobet, Ming Zhang, Tingwei Zhu, Youjian Song, Mutasim A. M. Ez Eldina (2017). Identification of causal factors for the Majiagou landslide using modern data mining methods. Landslides, 2017, 14(1): 311-322. doi: 10.1007/s10346-016-0693-7.

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