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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Application of artificial intelligence-based single and hybrid models in predicting seepage and pore water pressure of dams: A state-of-the-art review
Behrang Beiranvand, Taher Rajaee
Advances in Engineering Software (2022) Vol. 173, pp. 103268-103268
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management
Hesam Kamyab, Tayebeh Khademi, Shreeshivadasan Chelliapan, et al.
Results in Engineering (2023) Vol. 20, pp. 101566-101566
Open Access | Times Cited: 117
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 19
Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review
Mojtaba Zaresefat, Reza Derakhshani
Water (2023) Vol. 15, Iss. 9, pp. 1750-1750
Open Access | Times Cited: 27
Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM
Ala Bouchehed, Fares Laouacheria, Salim Heddam, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 9, pp. 24751-24763
Closed Access | Times Cited: 13
Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models
Khairunnisa Khairudin, Ahmad Zia Ul–Saufie, Syahrul Fithry Senin, et al.
Results in Engineering (2024) Vol. 22, pp. 102072-102072
Open Access | Times Cited: 5
The Application of Machine Learning in Geotechnical Engineering
Wei Gao
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4712-4712
Open Access | Times Cited: 5
Seepage prediction model of the earth-rock dam based on TCN considering rainfall lag effect
Manli Qu
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066116-066116
Closed Access | Times Cited: 4
Enhanced Earth and Rockfill Dam Seepage Forecasting via an Integrated PLS-BO-BiLSTM Approach: A Novel Model Incorporating Lag Effects and Optimization Algorithms
Zhiwen Xie, Liang Chen
Pure and Applied Geophysics (2025)
Open Access
A novel numerical approach for the assessment of the seepage failure, predictive modelling of seepage through non-homogenous earth-fill dams resting on pervious foundations using artificial neural networks
Muhammad Zeeshan Khursheed, Badee Alshameri, Waqas Hassan, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access
Reliability Analysis of the Treatment of Dam Foundations by Coupling Monitoring Measurements and Modeling
Nadia Smail, Bouchrit Rouissat, Hicham Charrak
Soil Mechanics and Foundation Engineering (2025)
Closed Access
Enhancing Accuracy in Chloride Ion Detection with Test Papers using Computer Vision Methods for Sea Sand Concrete
Yuanyuan Zhang, Haifa Wang, R. Wang, et al.
Journal of Building Engineering (2025), pp. 112135-112135
Closed Access
A deep learning approach driven by raw monitoring data for earth/rockfill dam seepage prediction and safety assessment
Jie Ren, Shenghao Nan, Jinjin Zhang, et al.
Journal of Civil Structural Health Monitoring (2025)
Closed Access
Predicting landslide surge waves from large-scale physical experimental using machine learning
Changhao Lyu, Weiya Xu, Qingfu Huang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
AI-Supported probabilistic steady-state and transient seepage analysis of an embankment dam with clay core: A case study on Büyükcekmece Dam
Arife Günay, Sami O. Akbas
Engineering Geology (2025), pp. 108029-108029
Closed Access
Prediction of dike seepage pressure based on ISSA-BiLSTM
Shoukai Chen, Beiying Liu, Chunpeng Xing, et al.
(2025) Vol. 1, Iss. 01, pp. 1-16
Open Access
A novel inversion approach for seepage parameter of concrete face rockfill dams based on an enhanced sparrow search algorithm
Yuan Ping Feng, Bin Tian, Zhenzhong Shen, et al.
Computers and Geotechnics (2025) Vol. 183, pp. 107214-107214
Closed Access
AT‐LSTM‐CUSUM Digital Intelligent Model for Seepage Safety Prediction of Concrete Dam
Xinyu Liang, L Zhang, Jiaqi Zhao
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Performance optimization for an optimal operating condition for a shell and heat exchanger using a multi-objective genetic algorithm approach
B. Venkatesh, Ajmeera Kiran, Mudassir Khan, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0304097-e0304097
Open Access | Times Cited: 4
Dam Deformation Prediction Considering the Seasonal Fluctuations Using Ensemble Learning Algorithm
Mingkai Liu, Yanming Feng, Shanshan Yang, et al.
Buildings (2024) Vol. 14, Iss. 7, pp. 2163-2163
Open Access | Times Cited: 4
A Review of Stochastic Analysis of the Seepage Through Earth Dams with a Focus on the Application of Monte Carlo Simulation
Farhoud Kalateh, Milad Kheiry
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 47-72
Closed Access | Times Cited: 9
A combined optimization prediction model for earth-rock dam seepage pressure using multi-machine learning fusion with decomposition data-driven
Bo Liu, Weijun Cen, Changhai Zheng, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122798-122798
Closed Access | Times Cited: 9
From data processing to behavior monitoring: A comprehensive overview of dam health monitoring technology
Z.C. Deng, Quan Bao Gao, Minshui Huang, et al.
Structures (2024) Vol. 71, pp. 108094-108094
Closed Access | Times Cited: 3
A review of artificial intelligence methods for predicting gravity dam seepage, challenges and way-out
Priyanka Ashok Garsole, Shantini A. Bokil, Vijendra Kumar, et al.
AQUA - Water Infrastructure Ecosystems and Society (2023) Vol. 72, Iss. 7, pp. 1228-1248
Open Access | Times Cited: 8
Effect of zones' dimensions and geometry on seepage through zoned earth dams
M. Mostafa, Zhenzhong Shen
Journal of Engineering and Applied Science (2023) Vol. 70, Iss. 1
Open Access | Times Cited: 7
Monitoring model group of seepage behavior of earth-rock dam based on the mutual information and support vector machine algorithms
Zhenxiang Jiang
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
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