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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 Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR—Cases Studied in the Three Gorges Reservoir Area
Junrong Zhang, Huiming Tang, Tao Wen, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4287-4287
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A novel displacement prediction method using gated recurrent unit model with time series analysis in the Erdaohe landslide
Yonggang Zhang, Jun Tang, Zheng-ying He, et al.
Natural Hazards (2020) Vol. 105, Iss. 1, pp. 783-813
Closed Access | Times Cited: 175
A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide displacement prediction
Junwei Ma, Ding Xia, Yankun Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105150-105150
Open Access | Times Cited: 96
Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study
Junwei Ma, Ding Xia, Haixiang Guo, et al.
Landslides (2022) Vol. 19, Iss. 10, pp. 2489-2511
Open Access | Times Cited: 94
Deformation stage division and early warning of landslides based on the statistical characteristics of landslide kinematic features
Junrong Zhang, Huiming Tang, Changdong Li, et al.
Landslides (2024) Vol. 21, Iss. 4, pp. 717-735
Closed Access | Times Cited: 36
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 69
Combined forecasting model with CEEMD-LCSS reconstruction and the ABC-SVR method for landslide displacement prediction
Junrong Zhang, Huiming Tang, Dwayne D. Tannant, et al.
Journal of Cleaner Production (2021) Vol. 293, pp. 126205-126205
Closed Access | Times Cited: 64
Input-parameter optimization using a SVR based ensemble model to predict landslide displacements in a reservoir area – A comparative study
Junrong Zhang, Chengyuan Lin, Huiming Tang, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111107-111107
Closed Access | Times Cited: 38
A new early warning criterion for landslides movement assessment: Deformation Standardized Anomaly Index
Junrong Zhang, Huiming Tang, Biying Zhou, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 5
Closed Access | Times Cited: 10
Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review
Rongjie He, Wengang Zhang, Jie Dou, et al.
Rock Mechanics Bulletin (2024) Vol. 3, Iss. 4, pp. 100144-100144
Open Access | Times Cited: 10
Forecasting step-like landslide displacement through diverse monitoring frequencies
Fei Guo, XU Zhi-zhen, Jilei Hu, et al.
Journal of Mountain Science (2025)
Open Access | Times Cited: 1
A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction
Xiaoxu Niu, Junwei Ma, Yankun Wang, et al.
Applied Sciences (2021) Vol. 11, Iss. 10, pp. 4684-4684
Open Access | Times Cited: 43
Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model
Taorui Zeng, Jiang Hong-wei, Qingli Liu, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 5, pp. 1353-1372
Closed Access | Times Cited: 38
Prediction of heterogeneous Fenton process in treatment of melanoidin-containing wastewater using data-based models
Mahdieh Raji, Mohammad Nazeri Tahroudi, Fei Ye, et al.
Journal of Environmental Management (2022) Vol. 307, pp. 114518-114518
Open Access | Times Cited: 31
A Hybrid Data-Driven Deep Learning Prediction Framework for Lake Water Level Based on Fusion of Meteorological and Hydrological Multi-source Data
Zhiyuan Yao, Zhaocai Wang, Tunhua Wu, et al.
Natural Resources Research (2023) Vol. 33, Iss. 1, pp. 163-190
Closed Access | Times Cited: 19
Displacement prediction of landslides at slope-scale: Review of physics-based and data-driven approaches
Wenping Gong, Shaoyan Zhang, C. Hsein Juang, et al.
Earth-Science Reviews (2024) Vol. 258, pp. 104948-104948
Open Access | Times Cited: 8
Groundwater level prediction based on a combined intelligence method for the Sifangbei landslide in the Three Gorges Reservoir Area
Taorui Zeng, Kunlong Yin, Jiang Hong-wei, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research
Sheng Jiang, Junwei Ma, Zhiyang Liu, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7814-7814
Open Access | Times Cited: 27
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
Landslide Displacement Prediction during the Sliding Process Using XGBoost, SVR and RNNs
Jiancong Xu, Yu Jiang, Chengbin Yang
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 6056-6056
Open Access | Times Cited: 23
Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir
Beibei Yang, Ting Xiao, Luqi Wang, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1320-1320
Open Access | Times Cited: 15
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: 9
Deformation evaluation and displacement forecasting of baishuihe landslide after stabilization based on continuous wavelet transform and deep learning
Yuting Liu, Giordano Teza, Lorenzo Nava, et al.
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 9649-9673
Open Access | Times Cited: 3
A Hybrid Machine Learning Model Coupling Double Exponential Smoothing and ELM to Predict Multi-Factor Landslide Displacement
Xing Zhu, Fuling Zhang, Maolin Deng, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3384-3384
Open Access | Times Cited: 14
Bitcoin Price Forecasting: An Integrated Approach Using Hybrid LSTM-ELM Models
Changqing Luo, Lurun Pan, Binwei Chen, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 14
Landslide Displacement Prediction Based on Variational Mode Decomposition and MIC-GWO-LSTM Model
Taorui Zeng, Jiang Hong-wei, Qingli Liu, et al.
Research Square (Research Square) (2021)
Closed Access | Times Cited: 18
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