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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:

Forest Fire Mapping Using Multi-Source Remote Sensing Data: A Case Study in Chongqing
Yixin Zhao, Yajun Huang, Xupeng Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2323-2323
Open Access | Times Cited: 9

Showing 9 citing articles:

Burned Areas Mapping Using Sentinel-2 Data and a Rao’s Q Index-Based Change Detection Approach: A Case Study in Three Mediterranean Islands’ Wildfires (2019–2022)
Rafaela Tiengo, Silvia Merino de Miguel, Jéssica Uchôa, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 830-830
Open Access | Times Cited: 1
Digital Mapping Burn Severity in Agricultural and Forestry Land over a Half-Decade Using Sentinel Satellite Images on the Google Earth Engine Platform: A Case Study in Isparta Province
Sinan Demir, Levent Başayığıt
Trees Forests and People (2024) Vol. 16, pp. 100520-100520
Open Access | Times Cited: 7
A novel deep learning approach based on automatic weighted average ensemble for accurate forest burn scar extraction in Indian tropical deciduous forest
Amrita Singh, A. O. Varghese, Jugal Kishore Mani, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Visualization of Post-Fire Remote Sensing Using CiteSpace: A Bibliometric Analysis
Mingguang Sun, Xuanrui Zhang, Ri Jin
Forests (2025) Vol. 16, Iss. 4, pp. 592-592
Open Access
Detecting Burn Severity and Vegetation Recovery After Fire Using dNBR and dNDVI Indices: Insight from the Bosco Difesa Grande, Gravina in Southern Italy
Somayeh Zahabnazouri, Patrick Belmont, S. R. David, et al.
Sensors (2025) Vol. 25, Iss. 10, pp. 3097-3097
Open Access
A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021)
Rafaela Tiengo, Silvia Merino de Miguel, Jéssica Uchôa, et al.
Land (2024) Vol. 13, Iss. 5, pp. 666-666
Open Access | Times Cited: 2
Automatic Methodology for Forest Fire Mapping with SuperDove Imagery
Dionisio Rodríguez‐Esparragón, Paolo Gamba, Javier Marcello
Sensors (2024) Vol. 24, Iss. 16, pp. 5084-5084
Open Access | Times Cited: 1
Identifying long-term burned forests in the rugged terrain of Southwest China:A novel method based on remote sensing and ecological mechanisms
Enxu Yu, Mingfang Zhang, Yiping Hou, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104134-104134
Open Access | Times Cited: 1
Comparative study of machine learning methods for mapping forest fire areas using Sentinel-1B and 2A imagery
Xinbao Chen, Yaohui Zhang, Shan Wang, et al.
Frontiers in Remote Sensing (2024) Vol. 5
Open Access | Times Cited: 1
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