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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 unified network of information considering superimposed landslide factors sequence and pixel spatial neighbourhood for landslide susceptibility mapping
Yi He, Zhan'ao Zhao, Yang Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 104, pp. 102508-102508
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

An identification method of potential landslide zones using InSAR data and landslide susceptibility
Yi He, Wenhui Wang, Lifeng Zhang, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 43
Lightweight Attention-Guided YOLO With Level Set Layer for Landslide Detection From Optical Satellite Images
Yueheng Yang, Zelang Miao, Zhang Hua, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 3543-3559
Open Access | Times Cited: 18
Combining spatial response features and machine learning classifiers for landslide susceptibility mapping
Ruilong Wei, Chengming Ye, Tianbo Sui, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102681-102681
Open Access | Times Cited: 55
Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales
Xin Wei, Lulu Zhang, Paolo Gardoni, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 8, pp. 4453-4476
Closed Access | Times Cited: 32
An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features
Yi He, Zhan’ao Zhao, Qing Zhu, et al.
International Journal of Digital Earth (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 26
Landslide Risk Evaluation in Shenzhen Based on Stacking Ensemble Learning and InSAR
Binghai Gao, Yi He, Xueye Chen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1-18
Open Access | Times Cited: 24
Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor
Yi He, Tianbao Huo, Binghai Gao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5443-5459
Open Access | Times Cited: 8
Integrating a multi-dimensional deep convolutional neural network with optimized sample selection for landslide susceptibility assessment
Yueyue Wang, Xueling Wu, Kun Zou, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access | Times Cited: 1
Time-Series Analysis and Prediction of Surface Deformation in the Jinchuan Mining Area, Gansu Province, by Using InSAR and CNN–PhLSTM Network
Yi He, Haowen Yan, Yang Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 6732-6751
Closed Access | Times Cited: 34
Drainage pattern recognition method considering local basin shape based on graph neural network
Wenning Wang, Haowen Yan, Xiaomin Lu, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 593-619
Open Access | Times Cited: 17
Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be
Zhice Fang, Yi Wang, C.J. van Westen, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 126, pp. 103631-103631
Open Access | Times Cited: 17
Landslide spatial prediction using cluster analysis
Zheng Zhao, Hengxing Lan, Langping Li, et al.
Gondwana Research (2024) Vol. 130, pp. 291-307
Closed Access | Times Cited: 8
A landslide susceptibility assessment method considering the similarity of geographic environments based on graph neural network
Qing Zhang, Yi He, Lifeng Zhang, et al.
Gondwana Research (2024) Vol. 132, pp. 323-342
Closed Access | Times Cited: 7
Ensemble learning landslide susceptibility assessment with optimized non-landslide samples selection
Jiangang Lu, Yi He, Lifeng Zhang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
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: 28
A Deep Neural Network Framework for Landslide Susceptibility Mapping by Considering Time-Series Rainfall
Binghai Gao, Yi He, Xueye Chen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5946-5969
Open Access | Times Cited: 5
Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis: Evidence from Shimla district of North-west Indian Himalayan region
Aastha Sharma, Haroon Sajjad, Md Hibjur Rahaman, et al.
Journal of Mountain Science (2024) Vol. 21, Iss. 7, pp. 2368-2393
Closed Access | Times Cited: 5
Geological Mapping via Convolutional Neural Network Based on Remote Sensing and Geochemical Survey Data in Vegetation Coverage Areas
Ting Pan, Renguang Zuo, Ziye Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 3485-3494
Open Access | Times Cited: 12
Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China
Fei Ma, Qingbin Zhang, Lichun Sui
Frontiers in Earth Science (2025) Vol. 12
Open Access
Preliminary analysis of landslides induced by the 3 April 2024 Mw 7.4 Hualien, Taiwan earthquake
Yi Chen, Chuang Song, Zhenhong Li, et al.
Landslides (2025)
Closed Access
Investigating the landslide susceptibility assessment methods for multi-scale slope units based on SDGSAT-1 and Graph Neural Networks
Xiangqi Lei, Hanhu Liu, Zhe Chen, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
Advancing Landslide Susceptibility Mapping across Heterogeneous Regions with Deep Learning-Based Domain Adaptation
R.M. Goldberg, Te Pei, Fred Moshary, et al.
Geotechnical Frontiers 2017 (2025), pp. 30-39
Closed Access
Precise discrimination of basalt tectonic settings via dual-stream model with geochemical element matrix and series learning
Shuzhao Wu, Changfeng Jing, Sheng Yao, et al.
Chemical Geology (2025), pp. 122746-122746
Closed Access
A Method for Landslide Deformation Detection Based on Projection Surface Element Matching of 3D Models
Mengxi Sun, Hui Cao, Yansong Duan
Geoscience Data Journal (2025) Vol. 12, Iss. 2
Open Access
Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network
Mansheng Lin, Shuai Teng, Gongfa Chen, et al.
Land (2023) Vol. 12, Iss. 3, pp. 525-525
Open Access | Times Cited: 10
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