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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:

A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin, et al.
Engineering Geology (2019) Vol. 265, pp. 105328-105328
Open Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study
Pin Zhang, Huai-Na Wu, Renpeng Chen, et al.
Tunnelling and Underground Space Technology (2020) Vol. 99, pp. 103383-103383
Open Access | Times Cited: 173
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
Geotechnical uncertainty, modeling, and decision making
Kok‐Kwang Phoon, Zi-Jun Cao, Jian Ji, et al.
SOILS AND FOUNDATIONS (2022) Vol. 62, Iss. 5, pp. 101189-101189
Open Access | Times Cited: 97
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
Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics
Guanglin Liang, Linchong Huang, Chengyong Cao
Mathematics (2025) Vol. 13, Iss. 2, pp. 264-264
Open Access | Times Cited: 1
Dynamic prediction of jet grouted column diameter in soft soil using Bi-LSTM deep learning
Shui‐Long Shen, Pierre Guy Atangana Njock, Annan Zhou, et al.
Acta Geotechnica (2020) Vol. 16, Iss. 1, pp. 303-315
Closed Access | Times Cited: 134
High performance prediction of soil compaction parameters using multi expression programming
Hanlin Wang, Zhen‐Yu Yin
Engineering Geology (2020) Vol. 276, pp. 105758-105758
Open Access | Times Cited: 128
A critical evaluation of machine learning and deep learning in shield-ground interaction prediction
Pin Zhang, Huai-Na Wu, Renpeng Chen, et al.
Tunnelling and Underground Space Technology (2020) Vol. 106, pp. 103593-103593
Closed Access | Times Cited: 124
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
An AI‐based model for describing cyclic characteristics of granular materials
Pin Zhang, Zhen‐Yu Yin, Yin‐Fu Jin, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2020) Vol. 44, Iss. 9, pp. 1315-1335
Open Access | Times Cited: 88
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
Modelling the performance of EPB shield tunnelling using machine and deep learning algorithms
Song-Shun Lin, Shui‐Long Shen, Ning Zhang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101177-101177
Open Access | Times Cited: 78
Algorithms for intelligent prediction of landslide displacements
Zhongqiang Liu, Dong Guo, Suzanne Lacasse, et al.
Journal of Zhejiang University. Science A (2020) Vol. 21, Iss. 6, pp. 412-429
Open Access | Times Cited: 77
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
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
Yong Dai, Manoj Khandelwal, Yingui Qiu, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 8, pp. 6273-6288
Closed Access | Times Cited: 66
Population-based optimization in structural engineering: a review
Ali R. Kashani, Charles V. Camp, Mehdi Rostamian, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 345-452
Closed Access | Times Cited: 62
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
A New Random Forest Algorithm Based on Learning Automata
Mohammad Savargiv, Behrooz Masoumi, Mohammad Reza Keyvanpour
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 57
Prediction of the durability of high-performance concrete using an integrated RF-LSSVM model
Yang Liu, Yuan Cao, Lei Wang, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129232-129232
Closed Access | Times Cited: 57
A new index for cutter life evaluation and ensemble model for prediction of cutter wear
Nan Zhang, Shui‐Long Shen, Annan Zhou
Tunnelling and Underground Space Technology (2022) Vol. 131, pp. 104830-104830
Closed Access | Times Cited: 50
Prediction of the Seismic Effect on Liquefaction Behavior of Fine-Grained Soils Using Artificial Intelligence-Based Hybridized Modeling
Sufyan Ghani, Sunita Kumari, Shamsad Ahmad
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 4, pp. 5411-5441
Closed Access | Times Cited: 47
COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks
Jian Zhou, Yong Dai, Kun Du, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100806-100806
Closed Access | Times Cited: 42
Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction
Jingze Li, Chuanqi Li, Shaohe Zhang
Applied Soft Computing (2022) Vol. 131, pp. 109729-109729
Open Access | Times Cited: 41
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
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