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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:

Displacement prediction of step-like landslides based on feature optimization and VMD-Bi-LSTM: a case study of the Bazimen and Baishuihe landslides in the Three Gorges, China
Ke Zhang, Kai Zhang, Chenxi Cai, et al.
Bulletin of Engineering Geology and the Environment (2021) Vol. 80, Iss. 11, pp. 8481-8502
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Step-like displacement prediction and failure mechanism analysis of slow-moving reservoir landslide
Kanglei Song, Haiqing Yang, Dan Liang, et al.
Journal of Hydrology (2023) Vol. 628, pp. 130588-130588
Closed Access | Times Cited: 55
Integrating Time Series Decomposition and Deep Learning: An STL-TCN-Transformer Framework for Landslide Displacement Prediction
Shuai Ren, Kamarul Hawari Ghazali
(2025), pp. 60-60
Open Access | Times Cited: 1
Hybrid data-driven model and shapley additive explanations for peak dilation angle of rock discontinuities
Yanhui Cheng, Dongliang He, Tianxing Ma, et al.
Materials Today Communications (2024) Vol. 40, pp. 110194-110194
Closed Access | Times Cited: 6
A Novel Hybrid LMD–ETS–TCN Approach for Predicting Landslide Displacement Based on GPS Time Series Analysis
Wanqi Luo, Jie Dou, Yonghu Fu, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 229-229
Open Access | Times Cited: 26
Dynamic forecast model for landslide displacement with step-like deformation by applying GRU with EMD and error correction
Yongdong Meng, Yi Qin, Zhenglong Cai, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 6
Closed Access | Times Cited: 15
Landslide displacement prediction by using Bayesian optimization–temporal convolutional networks
Jian Yang, Zhijie Huang, Wenbin Jian, et al.
Acta Geotechnica (2024) Vol. 19, Iss. 7, pp. 4947-4965
Closed Access | Times Cited: 5
A dynamic prediction model of landslide displacement based on VMD–SSO–LSTM approach
Haiying Wang, Ao Yang, Chenguang Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Time-series InSAR landslide three-dimensional deformation prediction method considering meteorological time-delay effects
Jichao Lv, Rui Zhang, Xin Bao, et al.
Engineering Geology (2025), pp. 107986-107986
Closed Access
A machine learning framework for predicting shear strength properties of rock materials
Daxing Lei, Yaoping Zhang, Zhigang Lu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine Learning Approaches for Slope Deformation Prediction Based on Monitored Time-Series Displacement Data: A Comparative Investigation
Ning Xi, Qiang Yang, Yingjie Sun, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4677-4677
Open Access | Times Cited: 11
Bidirectional LSTM Model for Accurate and Real-Time Landslide Detection: A Case Study in Mawiongrim, Meghalaya, India
J. Sharailin Gidon, Jintu Borah, Smrutirekha Sahoo, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 3792-3800
Closed Access | Times Cited: 11
LSTM-Based Deformation Prediction Model of the Embankment Dam of the Danjiangkou Hydropower Station
Shuming Wang, Bing Yang, Huimin Chen, et al.
Water (2022) Vol. 14, Iss. 16, pp. 2464-2464
Open Access | Times Cited: 17
Using time series analysis and dual-stage attention-based recurrent neural network to predict landslide displacement
Dongxin Bai, Guangyin Lu, Z. Q. Zhu, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 21
Closed Access | Times Cited: 16
Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslide
Ning Xi, Mingdong Zang, Ruoshen Lin, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2023) Vol. 17, Iss. 1, pp. 98-113
Closed Access | Times Cited: 9
A Landslide Displacement Prediction Model Based on the ICEEMDAN Method and the TCN–BiLSTM Combined Neural Network
Qinyue Lin, Yang Zeping, Jie Huang, et al.
Water (2023) Vol. 15, Iss. 24, pp. 4247-4247
Open Access | Times Cited: 8
A new interpretable prediction framework for step-like landslide displacement
Peng Shao, Hong Wang, Ke Hu, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 4, pp. 1647-1667
Closed Access | Times Cited: 2
Ensemble learning for landslide displacement prediction: A perspective of Bayesian optimization and comparison of different time series analysis methods
Leilei Liu, Haodong Yin, Ting Xiao, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 8, pp. 3031-3058
Closed Access | Times Cited: 2
Dynamic prediction model of landslide displacement based on (SSA-VMD)-(CNN-BiLSTM-attention): a case study
Rubin Wang, Yipeng Lei, Yue Yang, et al.
Frontiers in Physics (2024) Vol. 12
Open Access | Times Cited: 2
Hybrid method for rainfall-induced regional landslide susceptibility mapping
Shuangyi Wu, Huaan Wang, Jie Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 2
Landslide Deformation Analysis and Prediction with a VMD-SA-LSTM Combined Model
C. Wen, Tian Hongling, Xiaoyan Zeng, et al.
Water (2024) Vol. 16, Iss. 20, pp. 2945-2945
Open Access | Times Cited: 2
Prediction Interval Estimation of Landslide Displacement Using Bootstrap, Variational Mode Decomposition, and Long and Short-Term Time-Series Network
Dongxin Bai, Guangyin Lu, Z. Q. Zhu, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5808-5808
Open Access | Times Cited: 9
A VMD-DES-TSAM-LSTM-based interpretability multi-step prediction approach for landslide displacement
Hong Wang, Peng Shao, Wang Hong-fei, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 1
An interpretable and high-precision method for predicting landslide displacement using evolutionary attention mechanism
Quan Zhao, Hong Wang, Haoyu Zhou, et al.
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11943-11967
Closed Access | Times Cited: 1
Displacement Prediction Method for Rainfall-Induced Landslide Using Improved Completely Adaptive Noise Ensemble Empirical Mode Decomposition, Singular Spectrum Analysis, and Long Short-Term Memory on Time Series Data
Ke Yang, Yi Wang, Gonghao Duan
Water (2024) Vol. 16, Iss. 15, pp. 2111-2111
Open Access | Times Cited: 1
Prediction and pre-warning of step-like landslide displacement based on deep learning coupled with ICEEMDAN
Zheng Zhou, Yanlong Li, Ye Zhang, et al.
Measurement (2024), pp. 116585-116585
Closed Access | Times Cited: 1
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