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:

Detecting slow-moving landslides using InSAR phase-gradient stacking and deep-learning network
Fu Lv, Qi Zhang, Teng Wang, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Change detection of slow-moving landslide with multi-source SBAS-InSAR and Light-U2Net
Jianao Cai, Dongping Ming, Bin Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104387-104387
Closed Access | Times Cited: 2

Automatic Detection of Forested Landslides: A Case Study in Jiuzhaigou County, China
Dongfen Li, Xiaochuan Tang, Zihan Tu, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3850-3850
Open Access | Times Cited: 18

Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 18

Regional-scale InSAR investigation and landslide early warning thresholds in Umbria, Italy
Francesco Ponziani, Pierpaolo Ciuffi, Benedikt Bayer, et al.
Engineering Geology (2023) Vol. 327, pp. 107352-107352
Open Access | Times Cited: 15

Slow‐Moving Landslides Triggered by the 2016 Mw 7.8 Kaikōura Earthquake, New Zealand: A New InSAR Phase‐Gradient Based Time‐Series Approach
Yunmeng Cao, Ian Hamling, Chris Massey, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 4
Open Access | Times Cited: 14

Deep learning approaches for landslide information recognition: Current scenario and opportunities
Naveen Chandra, Himadri Vaidya
Journal of Earth System Science (2024) Vol. 133, Iss. 2
Closed Access | Times Cited: 5

Improved phase gradient stacking for landslide detection
Dongxiao Zhang, Lu Zhang, Jie Dong, et al.
Landslides (2024) Vol. 21, Iss. 8, pp. 1829-1847
Closed Access | Times Cited: 5

Refined landslide inventory and susceptibility of Weining County, China, inferred from machine learning and Sentinel‐1 InSAR analysis
Xuguo Shi, Dianqiang Chen, Jianing Wang, et al.
Transactions in GIS (2024) Vol. 28, Iss. 6, pp. 1594-1616
Closed Access | Times Cited: 5

An Embedding Swin Transformer Model for Automatic Slow-moving Landslides Detection based on InSAR Products
Xuerong Chen, Chaoying Zhao, Xiaojie Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 4

Potential Landslide Identification Based on Improved YOLOv8 and InSAR Phase-Gradient Stacking
Yanrong Mao, Ruiqing Niu, Bingquan Li, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 10367-10376
Open Access | Times Cited: 4

A Network‐Based Phase‐Gradient Stacking Method for Resolving Long‐Wavelength Deformation From Low‐Coherence SAR Interferograms
Hang Xu, Teng Wang
Journal of Geophysical Research Solid Earth (2025) Vol. 130, Iss. 4
Closed Access

InSAR-based landslide detection method with the assistance of C-index
Zhiqiang Xiong, Mingzhi Zhang, Juan Ma, et al.
Landslides (2023) Vol. 20, Iss. 12, pp. 2709-2723
Closed Access | Times Cited: 9

Active Deformation Areas of Potential Landslide Mapping with a Generalized Convolutional Neural Network
Qiong Wu, Daqing Ge, Junchuan Yu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1090-1090
Open Access | Times Cited: 3

A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Considering Topographic Features
Ning Li, Guangcai Feng, Yinggang Zhao, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4583-4583
Open Access | Times Cited: 3

Advances in earthquake and cascading disasters
Xiangli He, Zhaoning Chen, Qing Yang, et al.
Natural Hazards Research (2025)
Open Access

Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method
Yufang He, Bo Chen, Mahdi Motagh, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104407-104407
Open Access

A Deep-Learning-Facilitated, Detection-First Strategy for Operationally Monitoring Localized Deformation with Large-Scale InSAR
Teng Wang, Qi Zhang, Zhipeng Wu
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2310-2310
Open Access | Times Cited: 5

Landslide Detection Based on Multi-Direction Phase Gradient Stacking, with Application to Zhouqu, China
Tao Xiong, Qian Sun, Jun Hu
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1632-1632
Open Access | Times Cited: 1

Automatic Landslide Detection in Gansu, China, Based on InSAR Phase Gradient Stacking and AttU-Net
Qian Sun, Cong Li, Tao Xiong, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3711-3711
Open Access | Times Cited: 1

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