Leaderboards/Dam Engineering and Safety

Dam Engineering and Safety

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Ben Huang
Shenzhen Metro (China)
2
Selçuk Demir
Bolu Abant İzzet Baysal University
3
Taorui Zeng
Chongqing Jiaotong University
4
Zezhi Deng
Southwest Jiaotong University
5
Ivan Depina
Norwegian University of Science and Technology
6
Qiguang Di
China Railway Group (China)
7
Yue Pan
Shanghai Ocean University
8
Issam Rehamnia
Badji Mokhtar-Annaba University
9
Kewei Feng
Hong Kong University of Science and Technology
10
Mingkai Liu
Peking University

Rising Stars Papers

1
Underwater dam crack image generation based on unsupervised image-to-image translation
Automation in Construction|2024
99 cit.
2
Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
Engineering Geology|2024
73 cit.
3
Experimental study on the effect of seepage flow on the tunnel face stability in the saturated ground
Ocean Engineering|2024
43 cit.
4
Advanced tree-based machine learning methods for predicting the seismic response of regular and irregular RC frames
Structures|2024
27 cit.
5
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
Stochastic Environmental Research and Risk Assessment|2024
27 cit.
6
Advancing Reservoir Water Level Predictions: Evaluating Conventional, Ensemble and Integrated Swarm Machine Learning Approaches
Water Resources Management|2024
26 cit.
7
Unmanned aerial vehicle–human collaboration route planning for intelligent infrastructure inspection
Computer-Aided Civil and Infrastructure Engineering|2024
23 cit.
8
Dynamic prediction and multi-objective optimization on driving position of tunnel boring machine (TBM): an automated deep learning approach
Acta Geotechnica|2024
21 cit.
9
Temporal-spatial-fusion-based risk assessment on the adjacent building during deep excavation
Information Fusion|2024
21 cit.
10
A multipoint prediction model for the deformation of concrete dams considering climatic features of high-altitude regions
Engineering Structures|2024
16 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Rui Pang
Henan University of Technology
2
Hai‐Bang Ly
University Of Transport Technology
3
Junwei Ma
Huazhong University of Science and Technology
4
Kang Zhang
Hohai University
5
Luqi Wang
Chinese Academy of Medical Sciences & Peking Union Medical College
6
Hoang Nguyen
Duy Tan University
7
Zhenyu Wu
Sichuan University
8
Xiangnan Qin
Zhengzhou University
9
Mahdi Hasanipanah
Duy Tan University
10
Qiming Zhong
Nanjing Hydraulic Research Institute

Emerging Leaders Papers

1
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|2022
124 cit.
2
Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study
Landslides|2022
122 cit.
3
Underwater crack pixel-wise identification and quantification for dams via lightweight semantic segmentation and transfer learning
Automation in Construction|2022
121 cit.
4
Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
Computers and Geotechnics|2023
105 cit.
5
Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation
Gondwana Research|2023
102 cit.
6
Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis
Construction and Building Materials|2023
98 cit.
7
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|2022
73 cit.
8
Stochastic Mainshock–Aftershock Simulation and Its Applications in Dynamic Reliability of Structural Systems via DPIM
Journal of Engineering Mechanics|2022
70 cit.
9
Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings
Reliability Engineering & System Safety|2022
63 cit.
10
Toward improved prediction of recycled brick aggregate concrete compressive strength by designing ensemble machine learning models
Construction and Building Materials|2023
63 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Linxia Gu
Florida Institute of Technology
2
Limin Zhang
Peking University
3
Zhen‐Yu Yin
Hong Kong Polytechnic University
4
Chuangbing Zhou
Nanchang University
5
Huiming Tang
Zhejiang University
6
Wengang Zhang
Chinese PLA General Hospital
7
Harianto Rahardjo
Nanyang Technological University
8
Brian Berkowitz
Weizmann Institute of Science
9
C. Hsein Juang
Clemson University
10
Shui‐Long Shen
Shantou University

Current Senior Leaders Papers

1
Element‐free Galerkin methods
International Journal for Numerical Methods in Engineering|1994
5.6k cit.
2
Scaling of fracture systems in geological media
Reviews of Geophysics|2001
1.4k cit.
3
Modeling non‐Fickian transport in geological formations as a continuous time random walk
Reviews of Geophysics|2006
1.2k cit.
4
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
Geoscience Frontiers|2020
844 cit.
5
Geohazards in the three Gorges Reservoir Area, China – Lessons learned from decades of research
Engineering Geology|2019
764 cit.
6
A new implementation of the element free Galerkin method
Computer Methods in Applied Mechanics and Engineering|1994
707 cit.
7
Long-term settlement behaviour of metro tunnels in the soft deposits of Shanghai
Tunnelling and Underground Space Technology|2013
654 cit.
8
Crack propagation by element-free Galerkin methods
Engineering Fracture Mechanics|1995
543 cit.
9
Review of Soil-Water Characteristic Curve Equations
Journal of Geotechnical and Geoenvironmental Engineering|1997
526 cit.
10
Application of deep learning algorithms in geotechnical engineering: a short critical review
Artificial Intelligence Review|2021
509 cit.

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