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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:

Recurrent neural networks for complicated seismic dynamic response prediction of a slope system
Yu Huang, Xu Han, Liuyuan Zhao
Engineering Geology (2021) Vol. 289, pp. 106198-106198
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Novel approach to estimate vertical scale of fluctuation based on CPT data using convolutional neural networks
Jinzhang Zhang, Kok‐Kwang Phoon, Dongming Zhang, et al.
Engineering Geology (2021) Vol. 294, pp. 106342-106342
Closed Access | Times Cited: 96
A multi-feature fusion transfer learning method for displacement prediction of rainfall reservoir-induced landslide with step-like deformation characteristics
Jingjing Long, Changdong Li, Yong Liu, et al.
Engineering Geology (2021) Vol. 297, pp. 106494-106494
Closed Access | Times Cited: 66
Advance prediction of collapse for TBM tunneling using deep learning method
Dong Guo, Jinhui Li, Xu Li, et al.
Engineering Geology (2022) Vol. 299, pp. 106556-106556
Closed Access | Times Cited: 54
Slope stability machine learning predictions on spatially variable random fields with and without factor of safety calculations
Mohammad Aminpour, Reza Alaie, Sajjad Khosravi, et al.
Computers and Geotechnics (2022) Vol. 153, pp. 105094-105094
Closed Access | Times Cited: 41
From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems
Tianyu Wang, Mohammad Noori, Wael A. Altabey, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110785-110785
Open Access | Times Cited: 41
Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge
Tianyu Wang, Huile Li, Mohammad Noori, et al.
Engineering Structures (2023) Vol. 279, pp. 115576-115576
Closed Access | Times Cited: 36
A comprehensive study on seismic dynamic responses of stochastic structures using sparse grid-based polynomial chaos expansion
Heng Zhao, Yaqiong Zhang, Weidong Zhu, et al.
Engineering Structures (2024) Vol. 306, pp. 117753-117753
Closed Access | Times Cited: 12
Comparative study on ballistic impact detection in helicopter transmission shafts using NARX and LSTM models
Vasiliki Panagiotopoulou, Lorenzo Brancato, Emanuele Petriconi, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access | Times Cited: 1
Stability Analysis of Ring Foundations on Slope Crest: 3D FELA and ANN
G. Pham, Nhat Tan Duong, Duy Tan Tran, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
AI-based prediction of seismic time-history responses of RC frame structures considering varied structural parameters
Kang Ge, Y.T. Guo, Chen Wang, et al.
Journal of Building Engineering (2025), pp. 112643-112643
Closed Access | Times Cited: 1
A Graph Convolutional Incorporating GRU Network for Landslide Displacement Forecasting Based on Spatiotemporal Analysis of GNSS Observations
Yanan Jiang, Huiyuan Luo, Qiang Xu, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 1016-1016
Open Access | Times Cited: 38
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 18
A DES-BDNN based probabilistic forecasting approach for step-like landslide displacement
Hong Wang, Guangyu Long, Peng Shao, et al.
Journal of Cleaner Production (2023) Vol. 394, pp. 136281-136281
Closed Access | Times Cited: 17
Deep learning forecasting of large induced earthquakes via precursory signals
Vincenzo Convertito, Fabio Giampaolo, Ortensia Amoroso, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Seismic behaviour of granular slope under railway embankment in large-scale shaking table test
Chonglei Zhang, Shuaisheng Miao, Lijun Su
Engineering Geology (2022) Vol. 305, pp. 106714-106714
Closed Access | Times Cited: 20
Predicting the magnitude of an impending earthquake using deep learning techniques
Bikash Sadhukhan, Shayak Chakraborty, Somenath Mukherjee
Earth Science Informatics (2022) Vol. 16, Iss. 1, pp. 803-823
Closed Access | Times Cited: 20
Quick analysis model for earthquake-induced landslide movement based on energy conservation
Yingbin Zhang, Xiaoqin Li, Junwen Fu, et al.
Landslides (2024) Vol. 21, Iss. 6, pp. 1315-1331
Closed Access | Times Cited: 4
Modeling and prediction of embankment dam displacement under earthquake loading using artificial neural networks and swarm optimization algorithm
Yashar Mostafaei, Saman Soleimani Kutanaei
International Journal of Geo-Engineering (2025) Vol. 16, Iss. 1
Open Access
A Textual and Temporal Data Fused Seismic Displacement Time Histories Prediction Method of Base-Isolated Frame Structures Using Deep Learning
Qingle Cheng, Haotian Ren, Hongyu Zhao, et al.
Journal of Earthquake Engineering (2025), pp. 1-17
Closed Access
Prediction of Long-Period Ground Motion Responses for High-Rise Buildings Using Physics-Assisted Fully Convolutional Neural Network
Yan Jiang, Beilong Luo, Yuan Jiang, et al.
Journal of Building Engineering (2025), pp. 112264-112264
Closed Access
Machine learning for time series prediction of valley deformation induced by impoundment for high arch dams
Hang‐Hang Zang, Dianqing Li, Xiaosong Tang, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 4
Closed Access
Multi-physics framework for seismic Real-time Hybrid Simulation of soil–foundation–structural systems
Faisal Nissar Malik, Davide Noè Gorini, James M. Ricles, et al.
Engineering Structures (2025) Vol. 334, pp. 120247-120247
Open Access
Seismic performance prediction of a slope-pile-anchor coupled reinforcement system using recurrent neural networks
Meng Wu, Xi Xu, Xu Han, et al.
Engineering Geology (2024) Vol. 338, pp. 107623-107623
Closed Access | Times Cited: 3
Real‐time hybrid simulation of structural systems with soil‐foundation interaction effects using neural networks
Safwan Al‐Subaihawi, James M. Ricles, Spencer E. Quiel, et al.
Earthquake Engineering & Structural Dynamics (2024)
Open Access | Times Cited: 3
Seismic fragility analysis of slopes: Method development, practical application and future prospects
Hongqiang Hu, Yangjuan Bao, Yu Huang, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 190, pp. 109176-109176
Closed Access | Times Cited: 3
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