| A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm D Sun, H Wen, D Wang, J Xu Geomorphology 362, 107201, 2020 | 373 | 2020 |
| Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest D Sun, J Xu, H Wen, D Wang Engineering Geology 281, 105972, 2021 | 287 | 2021 |
| Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization X Zhou, H Wen, Y Zhang, J Xu, W Zhang Geoscience Frontiers 12 (5), 101211, 2021 | 276 | 2021 |
| Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model J Zhang, X Ma, J Zhang, D Sun, X Zhou, C Mi, H Wen Journal of environmental management 332, 117357, 2023 | 212 | 2023 |
| Comparison of random forest model and frequency ratio model for landslide susceptibility mapping (LSM) in Yunyang County (Chongqing, China) Y Wang, D Sun, H Wen, H Zhang, F Zhang International journal of environmental research and public health 17 (12), 4206, 2020 | 130 | 2020 |
| An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost X Zhou, H Wen, Z Li, H Zhang, W Zhang Geocarto International 37 (26), 13419-13450, 2022 | 126 | 2022 |
| A hybrid optimization method of factor screening predicated on GeoDetector and Random Forest for Landslide Susceptibility Mapping D Sun, S Shi, H Wen, J Xu, X Zhou, J Wu Geomorphology 379, 107623, 2021 | 125 | 2021 |
| An optimized random forest model and its generalization ability in landslide susceptibility mapping: application in two areas of Three Gorges Reservoir, China D Sun, J Xu, H Wen, Y Wang Journal of Earth Science 31, 1068-1086, 2020 | 97 | 2020 |
| 滑坡预报国内外研究动态及发展趋势 文海家， 张永兴， 柳源 中国地质灾害与防治学报 15 (1), 1-4, 2004 | 95* | 2004 |
| Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning: A case of Wushan and Wuxi … M Liao, H Wen, L Yang Catena 217, 106428, 2022 | 91 | 2022 |
| Assessment of landslide susceptibility along mountain highways based on different machine learning algorithms and mapping units by hybrid factors screening and sample optimization D Sun, Q Gu, H Wen, J Xu, Y Zhang, S Shi, M Xue, X Zhou Gondwana Research 123, 89-106, 2023 | 84 | 2023 |
| Similarity quantification of soil parametric data and sites using confidence ellipses L Han, L Wang, X Ding, H Wen, X Yuan, W Zhang Geoscience Frontiers 13 (1), 101280, 2022 | 60 | 2022 |
| 吹填软土的工程特性研究 文海家， 严春风， 王东云 重庆建筑大学 21 (2), 79-83, 1999 | 58* | 1999 |
| Quantitative assessment of landslide risk based on susceptibility mapping using random forest and geodetector Y Wang, H Wen, D Sun, Y Li Remote Sensing 13 (13), 2625, 2021 | 57 | 2021 |
| A LightGBM-based landslide susceptibility model considering the uncertainty of non-landslide samples D Sun, X Wu, H Wen, Q Gu Geomatics, Natural Hazards and Risk 14 (1), 2213807, 2023 | 42 | 2023 |
| An optimal sample selection-based logistic regression model of slope physical resistance against rainfall-induced landslide D Sun, H Wen, Y Zhang, M Xue Natural Hazards 105, 1255-1279, 2021 | 41 | 2021 |
| A hybrid machine learning model for landslide-oriented risk assessment of long-distance pipelines H Wen, L Liu, J Zhang, J Hu, X Huang Journal of Environmental Management 342, 118177, 2023 | 39 | 2023 |
| Landslide susceptibility mapping based on interpretable machine learning from the perspective of geomorphological differentiation D Sun, D Chen, J Zhang, C Mi, Q Gu, H Wen Land 12 (5), 1018, 2023 | 38 | 2023 |
| A Hybrid Landslide Warning Model Coupling Susceptibility Zoning and Precipitation D Sun, Q Gu, H Wen, S Shi, C Mi, F Zhang Forests 13 (6), 827, 2022 | 37 | 2022 |
| 滑坡预测预报研究现状述评 张永兴， 胡居义， 文海家 地下空间 23 (2), 200-202, 2003 | 37 | 2003 |
Xinzhi ZhouPhD student, Tsinghua UniversityE-mailová adresa ověřena na: mails.tsinghua.edu.cn
