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:

Fusion of Remotely-Sensed Fire-Related Indices for Wildfire Prediction through the Contribution of Artificial Intelligence
Nikolaos Ntinopoulos, Stavros Sakellariou, Olga Christopoulou, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11527-11527
Open Access | Times Cited: 7

Showing 7 citing articles:

A Forest Fire Recognition Method Based on Modified Deep CNN Model
Shaoxiong Zheng, Xiangjun Zou, Peng Gao, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 111-111
Open Access | Times Cited: 7

Ensemble-based forecasting of wildfire potentials using relative index in Gangwon Province, South Korea
Sang Yeob Kim, Changhyun Jun, Wooyoung Na
Ecological Informatics (2025), pp. 103021-103021
Open Access

From Firestick to Satellites: Technological Advancement and Indigenous Cultural Practice in Managing Forest Fires in Australia
Harikesh Singh, Sanjeev Srivastava
The Historic Environment Policy & Practice (2024), pp. 1-24
Closed Access | Times Cited: 1

Development of a Data-Based Machine Learning Model for Classifying and Predicting Property Damage Caused by Fire
Jongā€Ho Lee, Jiuk Shin, Jaewook Lee, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11866-11866
Open Access | Times Cited: 2

Data Science for Social Climate Change Modelling: Emerging Technologies Review
Taras Ustyianovych
Lecture notes on data engineering and communications technologies (2024), pp. 361-377
Closed Access

Assessment of Burn Severity and Monitoring of the Wildfire Recovery Process in Mongolia
Battsengel Vandansambuu, Byambakhuu Gantumur, Falin Wu, et al.
Fire (2023) Vol. 6, Iss. 10, pp. 373-373
Open Access | Times Cited: 1

A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California
Fathima Nuzla Ismail, Abira Sengupta, Brendon J. Woodford, et al.
Communications in computer and information science (2023), pp. 239-253
Closed Access | Times Cited: 1

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