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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 26-50 of 120 citing articles:

Evaluation and Future Prospects of Data‐Driven Intelligence‐Based Framework for Predicting Cyclic Behavior of Reconstituted Sand
Kaushik Jas, Amalesh Jana, G. R. Dodagoudar
International Journal for Numerical and Analytical Methods in Geomechanics (2025)
Closed Access
Quantitative analysis on post–fire–resistant performance of high–strength steel plate girders using LSTM
Lei Xiao, Jianmin Hua, Heng Li, et al.
Journal of Constructional Steel Research (2022) Vol. 199, pp. 107588-107588
Closed Access | Times Cited: 25
Constitutive modelling of natural sands using a deep learning approach accounting for particle shape effects
Mengmeng Wu, Jianfeng Wang
Powder Technology (2022) Vol. 404, pp. 117439-117439
Closed Access | Times Cited: 23
TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process
Dong Jian-guo, Xiaona Liu, Ruixian Su, et al.
ACS Omega (2025) Vol. 10, Iss. 2, pp. 2269-2279
Open Access
A path-dependence aware LSTM-based framework for modeling the mechanical behavior of unsaturated soil
Guoqing Cai, Yongjian Liu, Rui Yang, et al.
Computers and Geotechnics (2025) Vol. 179, pp. 107060-107060
Closed Access
Predicting the stress-strain behavior of gravels with a hybrid deep learning approach
Duo Li, Jingmao Liu, Degao Zou, et al.
Transportation Geotechnics (2025), pp. 101492-101492
Closed Access
Transfer Learning-Enhanced Finite Element-Integrated Neural Networks
Ning Zhang, Kunpeng Xu, Zhen‐Yu Yin, et al.
International Journal of Mechanical Sciences (2025), pp. 110075-110075
Open Access
A machine learning-based model framework for predicting uplift capacity factor of circular plate anchor in multi-layer clay
Pai Jiang, Yunhan Huang, Zhongling Zong, et al.
Ships and Offshore Structures (2025), pp. 1-16
Closed Access
The mechanical properties of frozen peat soil under true triaxial testing and intelligent constitutive modeling based on prior information
Hang Wei, Zhaoming Yao, Xun Wang, et al.
Cold Regions Science and Technology (2025), pp. 104496-104496
Closed Access
Unconfined compressive strength of bio-cemented sand: state-of-the-art review and MEP-MC-based model development
Hanlin Wang, Zhen‐Yu Yin
Journal of Cleaner Production (2021) Vol. 315, pp. 128205-128205
Open Access | Times Cited: 29
An intelligent procedure for updating deformation prediction of braced excavation in clay using gated recurrent unit neural networks
Jie Yang, Yingjing Liu, Saffet Yağız, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1485-1499
Open Access | Times Cited: 27
Machine learning based modeling of path-dependent materials for finite element analysis
Yangzi He, Shabnam J. Semnani
Computers and Geotechnics (2023) Vol. 156, pp. 105254-105254
Open Access | Times Cited: 11
CPINet: Parameter identification of path-dependent constitutive model with automatic denoising based on CNN-LSTM
Zhenfei Guo, Ruixiang Bai, Zhenkun Lei, et al.
European Journal of Mechanics - A/Solids (2021) Vol. 90, pp. 104327-104327
Closed Access | Times Cited: 23
Earthquake effects on civil engineering structures and perspective mitigation solutions: a review
Mohsin Abbas, Khalid Elbaz, Shui‐Long Shen, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 14
Closed Access | Times Cited: 23
Application of domain-adaptive convolutional variational autoencoder for stress-state prediction
Sang Min Lee, Sang-Youn Park, Byoung‐Ho Choi
Knowledge-Based Systems (2022) Vol. 248, pp. 108827-108827
Closed Access | Times Cited: 17
Sentiment Analysis: An ERNIE-BiLSTM Approach to Bullet Screen Comments
Yen‐Hao Hsieh, Xinping Zeng
Sensors (2022) Vol. 22, Iss. 14, pp. 5223-5223
Open Access | Times Cited: 17
Perspective Impact on Water Environment and Hydrological Regime Owing to Climate Change: A Review
Mohsin Abbas, Lin‐Shuang Zhao, Yanning Wang
Hydrology (2022) Vol. 9, Iss. 11, pp. 203-203
Open Access | Times Cited: 17
Hot tensile behavior of a 7046-aluminum alloy: Fracture mechanisms and constitutive models
Dao‐Guang He, Shibing Chen, Y.C. Lin, et al.
Materials Today Communications (2022) Vol. 34, pp. 105209-105209
Closed Access | Times Cited: 16
Development of an LSTM-based model for predicting the long-term settlement of land reclamation and a GUI-based tool
Xiaoxuan Chen, Jie Yang, Geng‐Fu He, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 7, pp. 3849-3862
Closed Access | Times Cited: 9
Towards an AI-based early warning system for bridge scour
Negin Yousefpour, Oscar Correa
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2023) Vol. 17, Iss. 4, pp. 713-739
Open Access | Times Cited: 9
Confining pressure forecasting of shield tunnel lining during construction based on LSTM-PSO models combined with the multi-output recursive strategy
Xiao‐Wei Ye, Yujun Wei, Xiao-Long Zhang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 143, pp. 105499-105499
Closed Access | Times Cited: 9
A methodology for stress-strain behavior characterization and mixture optimization of recycled aggregate concrete based on machine learning
Yinjie Yang, Lihua Xu, Le Huang, et al.
Materials Today Communications (2024) Vol. 38, pp. 108109-108109
Closed Access | Times Cited: 3
Deep learning-based stress detection for daily life use using single-channel EEG and GSR in a virtual reality interview paradigm
H.G. Kim, Solwoong Song, Baek Hwan Cho, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0305864-e0305864
Open Access | Times Cited: 3
Sequence Deep Learning for Seismic Ground Response Modeling: 1D-CNN, LSTM, and Transformer Approach
Yong-Jin Choi, Huyen-Tram Nguyen, Taek Hee Han, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6658-6658
Open Access | Times Cited: 3
Hybrid machine learning for pullback force forecasting during horizontal directional drilling
Hongfang Lü, Tom Iseley, John C. Matthews, et al.
Automation in Construction (2021) Vol. 129, pp. 103810-103810
Closed Access | Times Cited: 22

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