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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:

Application of LSTM approach for modelling stress–strain behaviour of soil
Ning Zhang, Shui‐Long Shen, Annan Zhou, et al.
Applied Soft Computing (2020) Vol. 100, pp. 106959-106959
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Enhancement of neural networks with an alternative activation function tanhLU
Shui‐Long Shen, Ning Zhang, Annan Zhou, et al.
Expert Systems with Applications (2022) Vol. 199, pp. 117181-117181
Closed Access | Times Cited: 74
Prevention/mitigation of natural disasters in urban areas
Jinchun Chai, Haoze Wu
Smart Construction and Sustainable Cities (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 45
A data-driven method to model stress-strain behaviour of frozen soil considering uncertainty
Kai-Qi Li, Zhen‐Yu Yin, Ning Zhang, et al.
Cold Regions Science and Technology (2023) Vol. 213, pp. 103906-103906
Closed Access | Times Cited: 40
A predictive surrogate model based on linear and nonlinear solution manifold reduction in cardiovascular FSI: A comparative study
M. Barzegar Gerdroodbary, Sajad Salavatidezfouli
Computers in Biology and Medicine (2025) Vol. 189, pp. 109959-109959
Open Access | Times Cited: 2
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
Measurement and prediction of tunnelling-induced ground settlement in karst region by using expanding deep learning method
Ning Zhang, Annan Zhou, Yutao Pan, et al.
Measurement (2021) Vol. 183, pp. 109700-109700
Closed Access | Times Cited: 75
Tunnel boring machine vibration-based deep learning for the ground identification of working faces
Mengbo Liu, Shaoming Liao, Yifeng Yang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1340-1357
Open Access | Times Cited: 71
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
Time-series prediction of shield movement performance during tunneling based on hybrid model
Song-Shun Lin, Ning Zhang, Annan Zhou, et al.
Tunnelling and Underground Space Technology (2021) Vol. 119, pp. 104245-104245
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
Novel model for risk identification during karst excavation
Song-Shun Lin, Shui‐Long Shen, Annan Zhou, et al.
Reliability Engineering & System Safety (2021) Vol. 209, pp. 107435-107435
Closed Access | Times Cited: 55
Safety prediction of shield tunnel construction using deep belief network and whale optimization algorithm
Shuangshuang Ge, Wei Gao, Shuang Cui, et al.
Automation in Construction (2022) Vol. 142, pp. 104488-104488
Closed Access | Times Cited: 48
CBR Prediction of Pavement Materials in Unsoaked Condition Using LSSVM, LSTM-RNN, and ANN Approaches
Jitendra Khatti, Kamaldeep Singh Grover
International Journal of Pavement Research and Technology (2023) Vol. 17, Iss. 3, pp. 750-786
Closed Access | Times Cited: 35
An enhanced deep learning method for accurate and robust modelling of soil stress–strain response
Ning Zhang, Annan Zhou, Yin‐Fu Jin, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 8, pp. 4405-4427
Closed Access | Times Cited: 34
Method of soil-elastoplastic DEM parameter calibration based on recurrent neural network
Sifang Long, Shaomin Xu, Yanjun Zhang, et al.
Powder Technology (2023) Vol. 416, pp. 118222-118222
Closed Access | Times Cited: 23
A case study of monkeypox disease in the United States using mathematical modeling with real data
Pushpendra Kumar, M. Vellappandi, Zareen A. Khan, et al.
Mathematics and Computers in Simulation (2023) Vol. 213, pp. 444-465
Closed Access | Times Cited: 23
Remaining Useful Life Prediction of Lithium-Ion Battery via a Sequence Decomposition and Deep Learning Integrated Approach
Zhang Chen, Liqun Chen, Wenjing Shen, et al.
IEEE Transactions on Vehicular Technology (2021) Vol. 71, Iss. 2, pp. 1466-1479
Closed Access | Times Cited: 53
Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
Ammar H. Elsheikh, Amal I. Saba, Hitesh Panchal, et al.
Healthcare (2021) Vol. 9, Iss. 12, pp. 1614-1614
Open Access | Times Cited: 45
Predicting stress-strain behavior of normal weight and lightweight aggregate concrete exposed to high temperature using LSTM recurrent neural network
Amin Tanhadoust, Tiejun Yang, Farshad Dabbaghi, et al.
Construction and Building Materials (2022) Vol. 362, pp. 129703-129703
Open Access | Times Cited: 34
Modeling the Mechanical Response of Cement-Admixed Clay Under Different Stress Paths Using Recurrent Neural Networks
Chana Phutthananon, Praiya Ratanakijkul, Sompote Youwai, et al.
International Journal of Geosynthetics and Ground Engineering (2024) Vol. 10, Iss. 2
Closed Access | Times Cited: 6
Finite element-integrated neural network framework for elastic and elastoplastic solids
Ning Zhang, Kunpeng Xu, Zhen‐Yu Yin, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 433, pp. 117474-117474
Closed Access | Times Cited: 6
Prediction of the tunnelling advance speed of a super-large-diameter shield machine based on a KF-CNN-BiGRU hybrid neural network
Junwei Jin, Qianqian Jin, Jian Chen, et al.
Measurement (2024) Vol. 230, pp. 114517-114517
Closed Access | Times Cited: 5
Novel multi-spatial receptive field (MSRF) XGBoost method for predicting geological cross-section based on sparse borehole data
Yashi Qiu, Ning Zhang, Zhen‐Yu Yin, et al.
Engineering Geology (2024) Vol. 338, pp. 107604-107604
Closed Access | Times Cited: 5
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Hongchen Liu, Huaizhi Su, Lizhi Sun, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 5
GeoLLM: A specialized large language model framework for intelligent geotechnical design
Haitao Xu, Ning Zhang, Zhenyu Yin, et al.
Computers and Geotechnics (2024) Vol. 177, pp. 106849-106849
Closed Access | Times Cited: 5
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