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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:

Modelling InSAR-derived hillslope velocities with multivariate statistics: A first attempt to generate interpretable predictions
Kun He, Hakan Tanyaş, Ling Chang, et al.
Remote Sensing of Environment (2023) Vol. 289, pp. 113518-113518
Open Access | Times Cited: 19

Showing 19 citing articles:

On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values
Nan Wang, Hongyan Zhang, Ashok Dahal, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101800-101800
Open Access | Times Cited: 24
InSAR-based deformation analysis around the Qiaoqi reservoir, Baoxing, Southwest China
Muhammad Kamran, Xiewen Hu, Ushna Bint E Ishfaq, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 4
Closed Access | Times Cited: 1
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
Combined InSAR and optical dataset unravelling the characteristics of hillslope erosion in burned areas in Xichang, China
Xichao Cao, Kun He, Xiewen Hu, et al.
CATENA (2024) Vol. 242, pp. 108123-108123
Closed Access | Times Cited: 6
Advanced risk assessment framework for land subsidence impacts on transmission towers in salt lake region
Bijing Jin, Taorui Zeng, Tengfei Wang, et al.
Environmental Modelling & Software (2024) Vol. 177, pp. 106058-106058
Closed Access | Times Cited: 5
InSAR-derived predisaster spatio-temporal evolution of a reactivated landslide
Kun He, Gang Luo, Chuanjie Xi, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 5
Closed Access | Times Cited: 4
New method for landslide susceptibility evaluation in alpine valley regions that considers the suitability of InSAR monitoring and introduces deformation rate grading
Dingyi Zhou, Zhifang Zhao, Wenfei Xi, et al.
Geo-spatial Information Science (2024), pp. 1-24
Open Access | Times Cited: 4
Investigating earthquake legacy effect on hillslope deformation using InSAR‐derived time series
Kun He, Luigi Lombardo, Ling Chang, et al.
Earth Surface Processes and Landforms (2023) Vol. 49, Iss. 3, pp. 980-990
Open Access | Times Cited: 11
Exploring U-Net Deep Learning Model for Landslide Detection Using Optical Imagery, Geo-indices, and SAR Data in a Data Scarce Tropical Mountain Region
Johnny Alexánder Vega, Sebastián Palomino‐Ángel, César Augusto Hidalgo Montoya
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2025)
Closed Access
Decoding Dynamic Landslide Hazard Processes for a Massive Refugee Camp in Bangladesh
Dewan Mohammad Enamul Haque, Ritu Roy, Sumya Tasnim, et al.
Environmental Challenges (2025), pp. 101172-101172
Open Access
Goaf-induced deformation along the Chengdu-Kunming high-speed railway and its impact on engineering stability
Qiang Zhang, Hong Wen, Zuqi Xia, et al.
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
Insights into Deformation and Mechanism of a Reactivated Landslide Occurrence from Multi-Source Data: A Case Study in Li County, China
Yingjin Du, Kun He, Xiewen Hu, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1317-1317
Open Access | Times Cited: 3
Spatial prediction of InSAR-derived hillslope velocities via deep learning
Jun He, Hakan Tanyaş, Ashok Dahal, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Open Access
Machine learning and clustering for supporting the identification of active landslides at national scale
Camilla Medici, Alessandro Novellino, Claire Dashwood, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 140, pp. 104608-104608
Closed Access
Sentinel-1 SAR-based Globally Distributed Landslide Detection by Deep Neural Networks
Lorenzo Nava, Alessandro Mondini, Kushanav Bhuyan, et al.
EarthArXiv (California Digital Library) (2024)
Open Access | Times Cited: 1
Study on the spatial distribution pattern of correlation between surface deformation and reservoir water level in the Three Gorges Reservoir area
Hongwei Sang, Dan Zhang, Chengcheng Zhang, et al.
Landslides (2024)
Closed Access | Times Cited: 1
Unveiling spatial pattern in slope units-based landslides using a data-driven GAMM and InSAR techniques
Bingquan Li, Bo Peng, Ling Chang, et al.
Remote Sensing Letters (2024) Vol. 15, Iss. 10, pp. 1085-1095
Closed Access | Times Cited: 1
Estimating Landslide Trigger Factors Using Distributed Lag Nonlinear Models
A. Sridharan, M. Thomas, Georg Gutjahr, et al.
Environmental Modelling & Software (2024) Vol. 185, pp. 106259-106259
Closed Access | Times Cited: 1
Application of different earthquake-induced landslide hazard assessment models on the 2022 Ms 6.8 luding earthquake
Lu Yao, Siyuan Ma, Chaoxu Xia
Frontiers in Earth Science (2024) Vol. 12
Open Access
Distribution-agnostic landslide hazard modeling via Graph Transformers
Gabriele Belvederesi, Hakan Tanyaş, Aldo Lipani, et al.
Environmental Modelling & Software (2024) Vol. 183, pp. 106231-106231
Open Access
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