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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:

Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 441-452
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin
Archives of Computational Methods in Engineering (2021) Vol. 28, Iss. 5, pp. 3661-3686
Closed Access | Times Cited: 105
Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm
Tao Yan, Shui‐Long Shen, Annan Zhou, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1292-1303
Closed Access | Times Cited: 100
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
Micro‐mechanical analysis of one‐dimensional compression of clay with DEM
Pei Wang, Zhen‐Yu Yin, Pierre‐Yves Hicher, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2023) Vol. 47, Iss. 15, pp. 2706-2724
Closed Access | Times Cited: 59
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling
Binh Thai Pham, Manh Duc Nguyen, T. Nguyen‐Thoi, et al.
Transportation Geotechnics (2020) Vol. 27, pp. 100508-100508
Closed Access | Times Cited: 100
Bayesian neural network-based uncertainty modelling: application to soil compressibility and undrained shear strength prediction
Pin Zhang, Zhen‐Yu Yin, Yin‐Fu Jin
Canadian Geotechnical Journal (2021) Vol. 59, Iss. 4, pp. 546-557
Closed Access | Times Cited: 80
A novel deep learning-based modelling strategy from image of particles to mechanical properties for granular materials with CNN and BiLSTM
Pin Zhang, Zhen‐Yu Yin
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 382, pp. 113858-113858
Open Access | Times Cited: 74
Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network
Nan Zhang, Ning Zhang, Qian Zheng, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1167-1182
Closed Access | Times Cited: 67
Compaction quality evaluation of subgrade based on soil characteristics assessment using machine learning
Xuefei Wang, Xuping Dong, Zhishuai Zhang, et al.
Transportation Geotechnics (2021) Vol. 32, pp. 100703-100703
Closed Access | Times Cited: 66
Analytical approach to predict tunneling-induced subsurface settlement in sand considering soil arching effect
Renpeng Chen, Xu Song, Fan‐Yan Meng, et al.
Computers and Geotechnics (2021) Vol. 141, pp. 104492-104492
Closed Access | Times Cited: 65
Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning techniques
Zafar Said, Prabhakar Sharma, Rajvikram Madurai Elavarasan, et al.
Journal of Energy Storage (2022) Vol. 54, pp. 105230-105230
Closed Access | Times Cited: 64
Machine Learning-Based Modelling of Soil Properties for Geotechnical Design: Review, Tool Development and Comparison
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 2, pp. 1229-1245
Closed Access | Times Cited: 61
Artificial neural network optimized by differential evolution for predicting diameters of jet grouted columns
Pierre Guy Atangana Njock, Shui‐Long Shen, Annan Zhou, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1500-1512
Open Access | Times Cited: 55
Auto machine learning-based modelling and prediction of excavation-induced tunnel displacement
Dongmei Zhang, Yiming Shen, Zhongkai Huang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1100-1114
Open Access | Times Cited: 50
Analysis and Intelligent Prediction for Displacement of Stratum and Tunnel Lining by Shield Tunnel Excavation in Complex Geological Conditions: A Case Study
Fanchao Kong, Dechun Lu, Yiding Ma, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 22206-22216
Closed Access | Times Cited: 37
Extensive overview of soil constitutive relations and applications for geotechnical engineering problems
Kennedy C. Onyelowe, Ahmed M. Ebid, Evangelin Ramani Sujatha, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14465-e14465
Open Access | Times Cited: 26
LGBM-based modeling scenarios to compressive strength of recycled aggregate concrete with SHAP analysis
Bin Xi, Enming Li, Yewuhalashet Fissha, et al.
Mechanics of Advanced Materials and Structures (2023) Vol. 31, Iss. 23, pp. 5999-6014
Closed Access | Times Cited: 25
A deep CNN-based constitutive model for describing of statics characteristics of rock materials
Luyuan Wu, Dan Ma, Zifa Wang, et al.
Engineering Fracture Mechanics (2023) Vol. 279, pp. 109054-109054
Closed Access | Times Cited: 21
A neural network approach for the reliability analysis on failure of shallow foundations on cohesive soils
Ambrosios-Antonios Savvides, Leonidas Papadopoulos
International Journal of Geo-Engineering (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
A novel physics-informed deep learning strategy with local time-updating discrete scheme for multi-dimensional forward and inverse consolidation problems
Hongwei Guo, Zhen‐Yu Yin
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 421, pp. 116819-116819
Closed Access | Times Cited: 12
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
Adaptive mutation sparrow search algorithm-Elman-AdaBoost model for predicting the deformation of subway tunnels
Zhou Xiang-zhen, Wei Hu, Zhongyong Zhang, et al.
Underground Space (2024) Vol. 17, pp. 320-360
Open Access | Times Cited: 8
Reinforcement learning based optimizer for improvement of predicting tunneling-induced ground responses
Pin Zhang, Heng Li, Q. P. Ha, et al.
Advanced Engineering Informatics (2020) Vol. 45, pp. 101097-101097
Open Access | Times Cited: 64
Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images
Naser Golsanami, Madusanka Nirosh Jayasuriya, Weichao Yan, et al.
Energy (2021) Vol. 240, pp. 122599-122599
Closed Access | Times Cited: 54
An AIoT-based system for real-time monitoring of tunnel construction
Pin Zhang, Renpeng Chen, Dai Tian, et al.
Tunnelling and Underground Space Technology (2020) Vol. 109, pp. 103766-103766
Closed Access | Times Cited: 53
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