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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:

Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges
Wengang Zhang, Xin Gu, Li Hong, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110066-110066
Closed Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
Lin Wang, Chongzhi Wu, Zhiyong Yang, et al.
Computers and Geotechnics (2023) Vol. 159, pp. 105413-105413
Closed Access | Times Cited: 71
Comparative Analysis of Recurrent Neural Networks with Conjoint Fingerprints for Skin Corrosion Prediction
Huynh Anh Duy, Tarapong Srisongkram
Journal of Chemical Information and Modeling (2025)
Open Access | Times Cited: 1
Interpreting random fields through the U-Net architecture for failure mechanism and deformation predictions of geosystems
Ze Zhou Wang, Jinzhang Zhang, Hongwei Huang
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101720-101720
Open Access | Times Cited: 32
Developing machine learning models for wheat yield prediction using ground-based data, satellite-based actual evapotranspiration and vegetation indices
Mojtaba Naghdyzadegan Jahromi, Shahrokh Zand‐Parsa, Fatemeh Razzaghi, et al.
European Journal of Agronomy (2023) Vol. 146, pp. 126820-126820
Closed Access | Times Cited: 27
Exploring the Potential of Machine Learning in Stochastic Reliability Modelling for Reinforced Soil Foundations
Muhammad Nouman Amjad Raja, Tarek Abdoun, Waleed El-Sekelly
Buildings (2024) Vol. 14, Iss. 4, pp. 954-954
Open Access | Times Cited: 13
Optimizing load-displacement prediction for bored piles with the 3mSOS algorithm and neural networks
Tan Nguyen, Duy-Khuong Ly, Jim Shiau, et al.
Ocean Engineering (2024) Vol. 304, pp. 117758-117758
Closed Access | Times Cited: 13
A spatiotemporal deep learning method for excavation-induced wall deflections
Yuanqin Tao, Shaoxiang Zeng, Honglei Sun, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3327-3338
Open Access | Times Cited: 11
A super-learner machine learning model for a global prediction of compression index in clays
E.F. González Díaz, Giovanni Spagnoli
Applied Clay Science (2024) Vol. 249, pp. 107239-107239
Open Access | Times Cited: 10
Vision-based size distribution analysis of rock fragments using multi-modal deep learning and interactive annotation
Yudi Tang, Yulin Wang, Guangyao Si
Automation in Construction (2024) Vol. 159, pp. 105276-105276
Open Access | Times Cited: 9
Data-driven models in reliability analysis for tunnel structure: A systematic review
Wenbo Qin, Elton J. Chen, Fan Wang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105928-105928
Closed Access | Times Cited: 9
A Contemporary Review on Deep Learning Models for Drought Prediction
Amogh Gyaneshwar, Anirudh Mishra, Utkarsh Chadha, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 6160-6160
Open Access | Times Cited: 20
Prediction of local site influence on seismic vulnerability using machine learning: A study of the 6 February 2023 Türkiye earthquakes
Mustafa Şenkaya, Ali Silahtar, Enes Furkan Erkan, et al.
Engineering Geology (2024) Vol. 337, pp. 107605-107605
Closed Access | Times Cited: 5
Indirect Evaluation of the Influence of Rock Boulders in Blasting to the Geohazard: Unearthing Geologic Insights Fused with Tree Seed based LSTM Algorithm
Blessing Olamide Taiwo, Shahab Hosseini, Yewuhalashet Fissha, et al.
Geohazard Mechanics (2024)
Open Access | Times Cited: 5
An efficient BPNN-NSGA-II-based calibration framework for finite-discrete element method in rock modeling
Tong Ye, Qinghui Jiang, Shu Jiang, et al.
Computers and Geotechnics (2025) Vol. 179, pp. 107035-107035
Closed Access
Modeling of flat sheet-based direct contact membrane distillation (DCMD) for the robust prediction of permeate flux using single and ensemble interpretable machine learning
Mohammed Talhami, Amira Alkhatib, Mhd Taisir Albaba, et al.
Journal of environmental chemical engineering (2025) Vol. 13, Iss. 2, pp. 115463-115463
Open Access
Prediction of nonuniform large deformation in deep layered rock tunnels: Comprehensive application of data-driven and theoretical models
Tianxiang Song, Yangyi Zhou, Tao Chen, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106448-106448
Closed Access
Exploring U-Net Deep Learning Model for Landslide Detection Using Optical Imagery, Geo-indices, and SAR Data in a Data Scarce Tropical Mountain Region
Johnny Alexánder Vega, Sebastián Palomino‐Ángel, César Augusto Hidalgo Montoya
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2025)
Closed Access
Application of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils
Gaurav Verma, Brind Kumar, Chintoo Kumar, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 10, pp. 13901-13927
Open Access | Times Cited: 15
A comprehensive evaluation of ensemble machine learning in geotechnical stability analysis and explainability
Shan Lin, Zenglong Liang, Shuaixing Zhao, et al.
International Journal of Mechanics and Materials in Design (2023) Vol. 20, Iss. 2, pp. 331-352
Closed Access | Times Cited: 15
Probabilistic analysis of tunnel convergence in spatially variable soil based on Gaussian process regression
Houle Zhang, Yongxin Wu, Shangchuan Yang
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107840-107840
Closed Access | Times Cited: 4
A deep transfer learning model for the deformation of braced excavations with limited monitoring data
Yuanqin Tao, Shaoxiang Zeng, Tiantian Ying, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4
An interpretable machine learning framework for enhancing road transportation safety
Ismail Abdulrashid, Wen‐Chyuan Chiang, Jiuh‐Biing Sheu, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 195, pp. 103969-103969
Closed Access
Predicting energy absorption characteristic of rubber concrete materials
Xiancheng Mei, Jianhe Li, Jiamin Zhang, et al.
Construction and Building Materials (2025) Vol. 465, pp. 140248-140248
Closed Access
Prediction of Member Forces of Steel Tubes on the Basis of a Sensor System with the Use of AI
Haiyu Li, Heung‐Jin Chung
Sensors (2025) Vol. 25, Iss. 3, pp. 919-919
Open Access
Explainable artificial intelligence model for the prediction of undrained shear strength
Ho-Hong-Duy Nguyen, Thanh‐Nhan Nguyen, Thi-Anh-Thu Phan, et al.
Theoretical and Applied Mechanics Letters (2025), pp. 100578-100578
Open Access
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