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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 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

Showing 1-25 of 38 citing articles:

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
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: 24
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: 32
A graph deep learning method for landslide displacement prediction based on global navigation satellite system positioning
Chuan Yang, Yue Yin, Jiantong Zhang, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101690-101690
Open Access | Times Cited: 21
Landslide Displacement Prediction Model Using Time Series Analysis Method and Modified LSTM Model
Zian Lin, Xiyan Sun, Yuanfa Ji
Electronics (2022) Vol. 11, Iss. 10, pp. 1519-1519
Open Access | Times Cited: 26
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
Coupling Progressive Deep Learning with the AdaBoost Framework for Landslide Displacement Rate Prediction in the Baihetan Dam Reservoir, China
Weida Ni, Liuyuan Zhao, Lele Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2296-2296
Open Access | Times Cited: 14
Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm
Xianmin Wang, Aiheng Du, Fengchang Hu, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13
Landslide Deformation Prediction and Automatic Warning by Coupling Machine Learning and Physical Models
Xianmin Wang, Mupeng Diao, Haonan Guo, et al.
Earth and Space Science (2024) Vol. 11, Iss. 6
Open Access | Times Cited: 5
Integrating Feature Selection with Machine Learning for Accurate Reservoir Landslide Displacement Prediction
Qi Ge, Jingyong Wang, Cheng Liu, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2152-2152
Open Access | Times Cited: 5
Deformation mechanism-assisted deep learning architecture for predicting step-like displacement of reservoir landslide
Yanan Jiang, Linfeng Zheng, Qiang Xu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104121-104121
Open Access | Times Cited: 4
Assessment of the effects of characterization methods selection on the landslide susceptibility: a comparison between logistic regression (LR), naive bayes (NB) and radial basis function network (RBF Network)
Hui Shang, Lixiang Su, Yang Liu, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access
Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions
Nilesh Suresh Pawar, Kul Vaibhav Sharma
Natural Hazards (2025)
Closed Access
Creep parameter inversion and long-term deformation prediction of a near-dam slope considering spatio-temporal deformation data during construction and impoundment period
Yaoru Liu, Wenyu Zhuang, Chao Gao, et al.
Engineering Geology (2025), pp. 108043-108043
Closed Access
Combining Numerical Simulation and Deep Learning for Landslide Displacement Prediction: An Attempt to Expand the Deep Learning Dataset
Wenhan Xu, Hong Xu, Jie Chen, et al.
Sustainability (2022) Vol. 14, Iss. 11, pp. 6908-6908
Open Access | Times Cited: 16
Landslide Displacement Prediction Based on CEEMDAN Method and CNN–BiLSTM Model
Zian Lin, Yuanfa Ji, Xiyan Sun
Sustainability (2023) Vol. 15, Iss. 13, pp. 10071-10071
Open Access | Times Cited: 10
The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China
Yumin Fang, Lifeng Zhang, Yi He, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 4139-4163
Open Access | Times Cited: 3
Augmented Intelligence Forecasting and What-If-Scenario Analytics With Quantified Uncertainty for Big Real-Time Slope Monitoring Data
Antoinette Tordesillas, Hangfei Zheng, Guoqi Qian, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-29
Closed Access | Times Cited: 3
Landslide Displacement Prediction via Attentive Graph Neural Network
Ping Kuang, Rongfan Li, Ying Huang, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1919-1919
Open Access | Times Cited: 14
Landslide Displacement Prediction Based on Time-Frequency Analysis and LMD-BiLSTM Model
Zian Lin, Yuanfa Ji, Weibin Liang, et al.
Mathematics (2022) Vol. 10, Iss. 13, pp. 2203-2203
Open Access | Times Cited: 14
Deep Learning in Landslide Studies: A Review
T. Hemalatha
Springer eBooks (2023), pp. 247-255
Closed Access | Times Cited: 9
PREDICTION OF DEFORMATION CAUSED BY LANDSLIDES BASED ON GRAPH CONVOLUTION NETWORKS ALGORITHM AND DINSAR TECHNIQUE
Mohammad Amin Khalili, L. Guerriero, M. Pouralizadeh, et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. X-4/W1-2022, pp. 391-397
Open Access | Times Cited: 8
Spatio-temporal fusion methods for spectral remote sensing: a comprehensive technical review and comparative analysis
Ratnakar Swain, Ananya Paul, Mukunda Dev Behera
Tropical Ecology (2023) Vol. 65, Iss. 3, pp. 356-375
Closed Access | Times Cited: 8
Updated Global Navigation Satellite System Observations and Attention-Based Convolutional Neural Network–Long Short-Term Memory Network Deep Learning Algorithms to Predict Landslide Spatiotemporal Displacement
Beibei Yang, Zizheng Guo, Luqi Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4971-4971
Open Access | Times Cited: 8
Multi-Scale Response Analysis and Displacement Prediction of Landslides Using Deep Learning with JTFA: A Case Study in the Three Gorges Reservoir, China
Yanan Jiang, Lu Liao, Huiyuan Luo, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 3995-3995
Open Access | Times Cited: 7
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