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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:

Analysis of ground surface settlement in anisotropic clays using extreme gradient boosting and random forest regression models
Runhong Zhang, Yongqin Li, Anthony T.C. Goh, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1478-1484
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models
Jitendra Khatti, Kamaldeep Singh Grover
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 3010-3038
Open Access | Times Cited: 64
Editorial for Advances and applications of deep learning and soft computing in geotechnical underground engineering
Wengang Zhang, Kok‐Kwang Phoon
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 3, pp. 671-673
Open Access | Times Cited: 59
Prediction of compaction parameters of compacted soil using LSSVM, LSTM, LSBoostRF, and ANN
Jitendra Khatti, Kamaldeep Singh Grover
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 2
Closed Access | Times Cited: 39
Prediction of Soil Compaction Parameters Using Machine Learning Models
Bingyi Li, Zixuan You, Kaiwei Ni, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2716-2716
Open Access | Times Cited: 5
Stability of a rectangular trapdoor in three dimensions: A Gene expression programming method
Rithy Domphoeun, Jim Shiau, Suraparb Keawsawasvong, et al.
Tunnelling and Underground Space Technology (2025) Vol. 157, pp. 106356-106356
Closed Access
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
A machine learning-based strategy for predicting the mechanical strength of coral reef limestone using X-ray computed tomography
Kai Wu, Qingshan Meng, Ruoxin Li, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 7, pp. 2790-2800
Open Access | Times Cited: 13
Multisource monitoring data-driven slope stability prediction using ensemble learning techniques
Xueyou Li, Fengliang Huang, Zhiyong Yang
Computers and Geotechnics (2024) Vol. 169, pp. 106255-106255
Closed Access | Times Cited: 4
Application of machine learning in early warning system of geotechnical disaster: a systematic and comprehensive review
Shan Lin, Zenglong Liang, Hongwei Guo, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
An efficient physics-guided Bayesian framework for predicting ground settlement profile during excavations in clay
Cong Tang, Shu‐Yu He, Wan‐Huan Zhou
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 4, pp. 1411-1424
Open Access | Times Cited: 3
Design optimization of quasi-rectangular tunnels based on hyperstatic reaction method and ensemble learning
Tien Trong Nguyen, Ba Trung Cao, Van Vi Pham, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 3
Investigating the Slurry Fluidity and Strength Characteristics of Cemented Backfill and Strength Prediction Models by Developing Hybrid GA-SVR and PSO-SVR
Kun Du, Minghui Liu, Jian Zhou, et al.
Mining Metallurgy & Exploration (2022) Vol. 39, Iss. 2, pp. 433-452
Closed Access | Times Cited: 15
Deep Learning Method on Deformation Prediction for Large-Section Tunnels
Wei Xu, Ming Cheng, Xiangyang Xu, et al.
Symmetry (2022) Vol. 14, Iss. 10, pp. 2019-2019
Open Access | Times Cited: 14
Machine Learning-Based Prediction of Unconfined Compressive Strength of Sands Treated by Microbially-Induced Calcite Precipitation (MICP): A Gradient Boosting Approach and Correlation Analysis
Saeed Talamkhani
Advances in Civil Engineering (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 8
PSO-based Machine Learning Methods for Predicting Ground Surface Displacement Induced by Shallow Underground Excavation Method
Fanchao Kong, Tao Tian, Dechun Lu, et al.
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 11, pp. 4948-4961
Closed Access | Times Cited: 8
Describing inherently anisotropic behaviours of natural clay by a hypoplastic model
Liaoyi Fu, Jian Zhou, Gong Xiao-nan, et al.
Geological Journal (2024) Vol. 59, Iss. 9, pp. 2459-2471
Closed Access | Times Cited: 2
Performance evaluation of hybrid YYPO-RF, BWOA-RF and SMA-RF models to predict plastic zones around underground powerhouse caverns
Jian Zhou, Yuxin Chen, Weixun Yong
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2022) Vol. 8, Iss. 6
Closed Access | Times Cited: 11
A Novel Method of Correlation Analysis Between Ground Subsidence and Tunnelling Parameters Based on Model Fusion
Jiantao Chang, Wenting Lu, Xianguang Kong, et al.
Rock Mechanics and Rock Engineering (2023) Vol. 56, Iss. 4, pp. 3037-3054
Closed Access | Times Cited: 5
Quantitative Estimation of Fe-Based Amorphous Coating Thickness Based on Pulsed Eddy Current Technology
Xiaofei Huang, Zenghua Liu, Yu Gong, et al.
Journal of Nondestructive Evaluation (2022) Vol. 42, Iss. 1
Closed Access | Times Cited: 8
A novel structural deformation prediction method based on graph convolutional network during shield tunnel construction
Cheng Chen, Wei Liu, Manman Dong, et al.
Tunnelling and Underground Space Technology (2024) Vol. 153, pp. 106051-106051
Closed Access | Times Cited: 1
Prediction of bearing capacity of geogrid-reinforced sand over stone columns in soft clay
Amit Saha, Sanjog Chhetri Sapkota, Prasenjit Saha, et al.
Proceedings of the Institution of Civil Engineers - Ground Improvement (2024), pp. 1-13
Closed Access | Times Cited: 1
CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of Clay
Huajian Yang, Zhikui Liu, Yuantao Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5418-5418
Open Access | Times Cited: 3
Machine learning-aided reliability analysis of rainfall-induced landslide of root-reinforced slopes
Barbara Maria Świtała, Carlotta Guardiani, Enrico Soranzo, et al.
Canadian Geotechnical Journal (2023) Vol. 60, Iss. 12, pp. 1877-1894
Closed Access | Times Cited: 2
An adaptive sequential sampling method based on ANN_MCD and RF: Application in geotechnical problems
Weihang Chen, Jianwen Ding, Tengfei Wang, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110462-110462
Closed Access | Times Cited: 2
Land Subsidence Prediction Model Based on the Long Short-Term Memory Neural Network Optimized Using the Sparrow Search Algorithm
Peicheng Qiu, Fei Liu, Jiaming Zhang
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11156-11156
Open Access | Times Cited: 2
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