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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 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

Showing 1-25 of 175 citing articles:

A comparative study of different machine learning methods for reservoir landslide displacement prediction
Yankun Wang, Huiming Tang, Jinsong Huang, et al.
Engineering Geology (2022) Vol. 298, pp. 106544-106544
Closed Access | Times Cited: 158
Prediction of landslide displacement with dynamic features using intelligent approaches
Yonggang Zhang, Jun Tang, Yung‐Ming Cheng, et al.
International Journal of Mining Science and Technology (2022) Vol. 32, Iss. 3, pp. 539-549
Open Access | Times Cited: 87
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: 57
A novel framework for landslide displacement prediction using MT-InSAR and machine learning techniques
Chao Zhou, Ying Cao, Lulu Gan, et al.
Engineering Geology (2024) Vol. 334, pp. 107497-107497
Closed Access | Times Cited: 33
Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management
Mehdi Koohmishi, Sakdirat Kaewunruen, Ling Chang, et al.
Automation in Construction (2024) Vol. 162, pp. 105378-105378
Open Access | Times Cited: 30
Deep Learning for Exploring Landslides with Remote Sensing and Geo-Environmental Data: Frameworks, Progress, Challenges, and Opportunities
Qi Zhang, Teng Wang
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1344-1344
Open Access | Times Cited: 25
An interpretable attention-based deep learning method for landslide prediction based on multi-temporal InSAR time series: A case study of Xinpu landslide in the TGRA
Chao Zhou, M. Ye, Zhuge Xia, et al.
Remote Sensing of Environment (2025) Vol. 318, pp. 114580-114580
Closed Access | Times Cited: 5
A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model
Yonggang Zhang, Lining Yang
Natural Hazards (2020) Vol. 105, Iss. 2, pp. 2027-2043
Open Access | Times Cited: 72
Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning
Renfei He, Limao Zhang, Alvin Wei Ze Chew
Knowledge-Based Systems (2022) Vol. 251, pp. 109125-109125
Closed Access | Times Cited: 65
The adoption of ELM to the prediction of soil liquefaction based on CPT
Yonggang Zhang, Junbo Qiu, Yan Zhang, et al.
Natural Hazards (2021) Vol. 107, Iss. 1, pp. 539-549
Closed Access | Times Cited: 64
Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads
Junyan He, Shashank Kushwaha, Jaewan Park, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107258-107258
Open Access | Times Cited: 42
Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning
Renfei He, Limao Zhang, Alvin Wei Ze Chew
Expert Systems with Applications (2023) Vol. 235, pp. 121160-121160
Closed Access | Times Cited: 40
Machine Learning-Based Fault Location for Smart Distribution Networks Equipped with Micro-PMU
Hamid Mirshekali, Rahman Dashti, Ahmad Keshavarz, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 945-945
Open Access | Times Cited: 39
Slope displacement detection in construction: An automated management algorithm for disaster prevention
Ali Shehadeh, Odey Alshboul, Ghassan Almasabha
Expert Systems with Applications (2023) Vol. 237, pp. 121505-121505
Closed Access | Times Cited: 33
Integration of Deep Learning into the IoT: A Survey of Techniques and Challenges for Real-World Applications
Abdussalam Elhanashi, Pierpaolo Dini, Sergio Saponara, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4925-4925
Open Access | Times Cited: 32
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
Time Series Prediction of Key Parameters of Pump-Type Machinery in Nuclear Power Plants Based on Empirical Wavelet Transform-Gate Recurrent Unit (EWT-GRU)
Yihu Zhu, Hong Xia, Zhichao Wang, et al.
Nuclear Engineering and Technology (2025), pp. 103431-103431
Open Access | Times Cited: 1
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
Early warning system for landslide of gentle Piedmont slope based on displacement velocity, factor of safety, and effective rainfall threshold
Liangchen Yu, Houxu Huang, Changhong Yan, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105232-105232
Closed Access | Times Cited: 1
Research on blasting damage to tunnel surrounding rock based on acoustic full waveform signal analysis
Lijie Ge, Tao Jiang, Yan Zhao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area
Yonggang Zhang, Xinquan Chen, Rao-ping Liao, et al.
Natural Hazards (2021) Vol. 107, Iss. 2, pp. 1709-1729
Closed Access | Times Cited: 42
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
Evaluating the stability of Outang landslide in the Three Gorges Reservoir area considering the mechanical behavior with large deformation of the slip zone
Junbiao Yan, Zongxing Zou, Rui Mu, et al.
Natural Hazards (2022) Vol. 112, Iss. 3, pp. 2523-2547
Open Access | Times Cited: 29
A comparative study of different neural network models for landslide susceptibility mapping
Zhan'ao Zhao, Yi He, Sheng Yao, et al.
Advances in Space Research (2022) Vol. 70, Iss. 2, pp. 383-401
Closed Access | Times Cited: 29
Landslide Displacement Prediction of Shuping Landslide Combining PSO and LSSVM Model
Wenjun Jia, Tao Wen, Decheng Li, et al.
Water (2023) Vol. 15, Iss. 4, pp. 612-612
Open Access | Times Cited: 21
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