World's Best Scientists 2026 revealed!
Wengang Zhang

Wengang Zhang

D-Index & Metrics

Engineering and Technology

D-Index
59
Citations
14194
World Ranking
2325
National Ranking
466

Earth Science

D-Index
58
Citations
13328
World Ranking
2138
National Ranking
136

Overview

Wengang Zhang is a researcher affiliated with Chongqing University in China specializing in engineering with a focus on civil and structural engineering. Their work spans areas including safety, risk, reliability and quality, as well as management, monitoring, policy and law within the engineering domain.

Their main research topics cover geotechnical engineering and analysis, landslides and related hazards, dam engineering and safety, geotechnical engineering related to underground structures, rock mechanics and modeling, geotechnical engineering and soil stabilization, and grouting, rheology, and soil mechanics.

Zhang's frequent publication venues include Underground Space, Geoscience Frontiers, Acta Geotechnica, Geological Journal, and Computers and Geotechnics. These outlets have featured multiple publications by Zhang, reflecting ongoing research activity in geotechnical and structural engineering fields.

Some of Zhang's recent papers include:

  • Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization, 2020, Geoscience Frontiers
  • Application of deep learning algorithms in geotechnical engineering: a short critical review, 2021, Artificial Intelligence Review
  • Application of machine learning, deep learning and optimization algorithms in geoengineering and geoscience: Comprehensive review and future challenge, 2022, Gondwana Research

Zhang has collaborated often with several co-authors including Luqi Wang, Yongqin Li, Runhong Zhang, Enqiang Linghu, and Weixin Sun. These collaborations have contributed to a significant number of joint publications.

Best Publications

  • Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

    Wengang Zhang;Chongzhi Wu;Haiyi Zhong;Yongqin Li

  • Multivariate adaptive regression splines and neural network models for prediction of pile drivability

    Wengang Zhang;Anthony Teck Chee Goh

  • State-of-the-art review of soft computing applications in underground excavations

    Wengang Zhang;Runhong Zhang;Chongzhi Wu;Anthony Teck Chee Goh

  • Application of deep learning algorithms in geotechnical engineering: a short critical review

    Wengang Zhang;Hongrui Li;Yongqin Li;Hanlong Liu

  • Application of machine learning, deep learning and optimization algorithms in geoengineering and geoscience: comprehensive review and future challenge

    Unknown

  • Multivariate adaptive regression splines for analysis of geotechnical engineering systems

    Wengang Zhang;Anthony Teck Chee Goh

  • Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization

    Xinzhi Zhou;Haijia Wen;Yalan Zhang;Jiahui Xu

  • Future of machine learning in geotechnics

    Unknown

  • Efficient reliability analysis of earth dam slope stability using extreme gradient boosting method

    Lin Wang;Lin Wang;Chongzhi Wu;Libin Tang;Wengang Zhang

  • Influence of Particle Breakage on Critical State Line of Rockfill Material

    Yang Xiao;Hanlong Liu;Xuanming Ding;Yumin Chen

  • Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

    Jian Zhou;Yingui Qiu;Danial Jahed Armaghani;Wengang Zhang

  • Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling

    W.G. Zhang;H.R. Li;C.Z. Wu;Y.Q. Li

  • Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines

    Lin Wang;Chongzhi Wu;Xin Gu;Hanlong Liu

  • Assessment of pile drivability using random forest regression and multivariate adaptive regression splines

    Wengang Zhang;Chongzhi Wu;Yongqin Li;Lin Wang

  • Determination of earth pressure balance tunnel-related maximum surface settlement: a multivariate adaptive regression splines approach

    Anthony Teck Chee Goh;Wengang Zhang;Wengang Zhang;Yanmei Zhang;Yang Xiao

  • A simple prediction model for wall deflection caused by braced excavation in clays

    Wengang Zhang;Anthony T.C. Goh;Feng Xuan

  • Reliability assessment on stability of tunnelling perpendicularly beneath an existing tunnel considering spatial variabilities of rock mass properties

    Fuyong Chen;Lin Wang;Wengang Zhang

  • An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost

    Unknown

  • Assessment of soil liquefaction based on capacity energy concept and multivariate adaptive regression splines

    Wengang Zhang;Anthony T.C. Goh;Yanmei Zhang;Yumin Chen

  • Application of transparent soil model test and DEM simulation in study of tunnel failure mechanism

    Yuzhou Xiang;Hanlong Liu;Wengang Zhang;Wengang Zhang;Jian Chu

  • A Multivariate Adaptive Regression Splines model for determining horizontal wall deflection envelope for braced excavations in clays

    Wengang Zhang;Wengang Zhang;Runhong Zhang;Wei Wang;Fan Zhang

  • Reliability assessment on ultimate and serviceability limit states and determination of critical factor of safety for underground rock caverns

    Wengang Zhang;Anthony Teck Chee Goh

  • Multivariate adaptive regression splines for inverse analysis of soil and wall properties in braced excavation

    Wengang Zhang;Yanmei Zhang;Anthony T.C. Goh

Frequent Co-Authors

Anthony T. C. Goh
Anthony T. C. Goh Nanyang Technological University
Hanlong Liu
Hanlong Liu Chongqing University
Yang Xiao
Yang Xiao Chongqing University
Xuanming Ding
Xuanming Ding Chongqing University
Zhongmin Xiao
Zhongmin Xiao Nanyang Technological University
Thomas Böhlke
Thomas Böhlke Karlsruhe Institute of Technology
Pijush Samui
Pijush Samui National Institute of Technology Patna
Jian Chu
Jian Chu Nanyang Technological University
Jianye Ching
Jianye Ching National Taiwan University
Danial Jahed Armaghani
Danial Jahed Armaghani University of Technology Sydney

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