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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: 51

Showing 26-50 of 51 citing articles:

Presenting the AI models in predicting the settlement of earth dams using the results of spatiotemporal clustering and k-means algorithm
Behrang Beiranvand, Taher Rajaee, Mehdi Komasi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Pore Water Pressure Prediction Based on Machine Learning Methods—Application to an Earth Dam Case
Lu An, Daniel Dias, Claudio Carvajal, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4749-4749
Open Access | Times Cited: 2
Wavelet–ANN hybrid model evaluation in seepage prediction in nonhomogeneous earthen dams
Bahador Fatehi-Nobarian, Sina Fard Moradinia
Water Practice & Technology (2024) Vol. 19, Iss. 7, pp. 2492-2511
Open Access | Times Cited: 2
Artificial Neural Network-aided Mathematical Model for Predicting Soil Stress-strain Hysteresis Loop Evolution
Marta Bocheńska, P. E. Srokosz
Civil And Environmental Engineering Reports (2024) Vol. 34, Iss. 3, pp. 120-135
Open Access | Times Cited: 2
Efficient Computational Investigation on Accurate Daily Soil Temperature Prediction Using Boosting Ensemble Methods Explanation Based on SHAP Importance Analysis
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Results in Engineering (2024), pp. 103220-103220
Open Access | Times Cited: 2
Prediction of the capacitance of the corn drying process parameter using adaptive- neuro-fuzzy intelligent technique with experimental validation
Emel Çelik, Mehmet Aki̇f Koç, Nezaket Parlak, et al.
Drying Technology (2023) Vol. 42, Iss. 1, pp. 90-113
Closed Access | Times Cited: 4
Prediction of seepage flow through earthfill dams using machine learning models
Issam Rehamnia, Ahmed Mohammed Sami Al‐Janabi, Saad Sh. Sammen, et al.
HydroResearch (2024) Vol. 7, pp. 131-139
Open Access | Times Cited: 1
Progressive failure process-considered deformation safety diagnosis method for in-service high arch dam
Guang Yang, Ahui Zhao, Jin Sun, et al.
Engineering Failure Analysis (2024) Vol. 163, pp. 108570-108570
Closed Access | Times Cited: 1
Nonlinear dynamic engineering processes modeling using a lyapunov-stability based novel locally connected recurrent pi-sigma neural network: design, simulation, and a comparative study
Rajesh Kumar, Smriti Srivastava, Amit Mohindru
Evolving Systems (2024) Vol. 15, Iss. 6, pp. 2067-2092
Closed Access | Times Cited: 1
Comparison of K-Means and FCM Algorithms to Optimize Spatiotemporal Pore Pressure Prediction of Earth Dams
Behrang Beiranvand, Taher Rajaee, Mehdi Komasi
Results in Engineering (2024) Vol. 24, pp. 103377-103377
Open Access | Times Cited: 1
Optimization of reservoir operation at Eyvashan dam using the water cycle algorithm with the approach of water resource management in climate changes conditions
Behrang Beiranvand, Taher Rajaee
Sustainable Water Resources Management (2023) Vol. 9, Iss. 3
Closed Access | Times Cited: 3
Experimental and numerical modeling of diaphragm grouting in earth dams considering construction defects
Momen Atef Fawzy, Nagy Ali Ali Hassan, Neveen Y. Saad, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2159-2185
Closed Access | Times Cited: 3
Strip thickness prediction method based on improved border collie optimizing LSTM
Lijie Sun, Lin Zeng, Hongjuan Zhou, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1114-e1114
Open Access | Times Cited: 5
Separation Method of Main and Foreign Water for the Measuring Weirs of Danjiangkou Earth-Rock Dam
Weihua Fang, Weiping Zhang, Chenghan Zhang, et al.
Water (2022) Vol. 14, Iss. 22, pp. 3620-3620
Open Access | Times Cited: 5
The Need and Development of Dams in India as Well as in the World for a Better Future
Aditya Singh
Advances in civil and industrial engineering book series (2023), pp. 156-180
Closed Access | Times Cited: 2
Investigation on hydrothermal behavior of seasonally frozen ground in the Qinghai-Tibet Plateau based on dynamic inverse modelling approach
Guo Yanchen, Zhihong Zhang, Dai Fuchu
Cold Regions Science and Technology (2023) Vol. 217, pp. 104015-104015
Closed Access | Times Cited: 2
Development of a Two-Stage Method for Zoned Pore Pressure Clustering Using FCM and GMDH Models (Case Study: Eyvashan Earth Dam)
Behrang Beiranvand, Taher Rajaee, Mehdi Komasi
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 6, pp. 4649-4662
Closed Access
Prediction of dike seepage pressure based on ISSA-BiLSTM
Shoukai Chen, Beiying Liu, Chunpeng Xing, et al.
Research Square (Research Square) (2024)
Closed Access
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
Research Square (Research Square) (2024)
Closed Access
Prediction and Analysis of Seepage Flow of UpperReservoir of a Pumped Storage Power Station Based on Bi-LSTM
Guofeng Chen, Guangkai Li, Fangxiao Ma
(2024), pp. 81-85
Closed Access
A comparative analysis of deterministic and probabilistic approaches for estimating seepage flow in earth dams using a hybrid finite element method
Milad Kheiry, Farhoud Kalateh
(2024)
Closed Access
Permeability prediction of soft clay based on digital models reconstructed by an improved Markov chain Monte Carlo method
Yafei Xu, Lingfeng Guo, Danqing Song, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 14
Closed Access
Artificial intelligence in efficient management of water resources
Abhilash Kumar Paswan, Sohel Khan Pathan, Agarwal Ak, et al.
Elsevier eBooks (2024), pp. 185-206
Closed Access
Influence of a Subsidiary Weir on the Stability of a Main Structure Built on a Finite Stratum
Yousry Mahmoud Ghazaw, Abdul Razzaq Ghumman, Ahmed Mohammed Sami Al‐Janabi, et al.
Fluids (2023) Vol. 8, Iss. 12, pp. 319-319
Open Access | Times Cited: 1
Analysis of the Effect of Pore Water Pressure on a Small Radius Curve Section of a Fine Sand Layer under Cyclic Metro
Xiaorui Wang, Xu Liu, Yunhong Lin, et al.
Water (2023) Vol. 15, Iss. 5, pp. 981-981
Open Access

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