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 forest type-specific threshold method for improving forest disturbance and agent attribution mapping
Yating Li, Xiao Xu, Zhenzi Wu, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 1624-1642
Open Access | Times Cited: 13

Showing 13 citing articles:

Mapping cropland abandonment and distinguishing from intentional afforestation with Landsat time series
Changqiao Hong, Alexander V. Prishchepov, Xiaobin Jin, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103693-103693
Open Access | Times Cited: 11

Interactions between coastal protection forest ecosystems and human activities: Quality, service and resilience
Enyan Zhu, Hongyu Gao, Lisu Chen, et al.
Ocean & Coastal Management (2024) Vol. 254, pp. 107190-107190
Closed Access | Times Cited: 8

Evaluating Carbon Sink Potential of Forest Ecosystems under Different Climate Change Scenarios in Yunnan, Southwest China
Fucheng Lü, Yunkun Song, Xiaodong Yan
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1442-1442
Open Access | Times Cited: 11

Forest Disturbance Attribution under Small Sample Conditions Based on Confidence Learning Mutual Guidance Framework
Yan Yan, Ling Wu, Junji Li, et al.
Chinese Journal of Space Science (2025) Vol. 45, Iss. 2, pp. 1-1
Open Access

A vision foundation model-based method for large-scale forest disturbance mapping using time series Sentinel-1 SAR data
Yuping Tian, Feng Zhao, Ran Meng, et al.
Remote Sensing of Environment (2025) Vol. 325, pp. 114775-114775
Closed Access

A novel topographic correction framework for detecting forest disturbance from annual wide-time-window Landsat time series
Yating Li, Shuai Li, Xiao Xu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104568-104568
Open Access

Optimized Parameters for Detecting Multiple Forest Disturbance and Recovery Events and Spatiotemporal Patterns in Fast-Regrowing Southern China
Yuwei Tu, Kaiping Liao, Yuxuan Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2240-2240
Open Access | Times Cited: 2

Topographic effects amplify forest disturbances detected by yearly wide-time-window Landsat time series
Zhenzi Wu, Yating Li, Xiao Xu, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 3

Continuous Tracking of Forest Disturbance and Recovery in the Greater Khingan Mountains from Annual Landsat Imagery
Huixin Ren, Chunying Ren, Zongming Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5426-5426
Open Access | Times Cited: 2

Exploring forest disturbance detection using Sentinel-2 imagery: A case study at FRIM campus
M. Muhamad Afizzul, O. Hamdan, Shucheng Tan
IOP Conference Series Earth and Environmental Science (2024) Vol. 1412, Iss. 1, pp. 012010-012010
Open Access

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