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 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

Showing 7 citing articles:

Visual fire detection using deep learning: A survey
Guangtao Cheng, Xue Chen, Chenyi Wang, et al.
Neurocomputing (2024) Vol. 596, pp. 127975-127975
Closed Access | Times Cited: 10

Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning
Berk Özel, Muhammad Shahab Alam, Muhammad Umer Khan
Information (2024) Vol. 15, Iss. 9, pp. 538-538
Open Access | Times Cited: 4

Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature
Lizhi Zhang, Qiang Zhang, Qianqian Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104416-104416
Closed Access

Forest Wildfire Risk Assessment of Anning River Valley in Sichuan Province Based on Driving Factors with Multi-Source Data
Cuicui Ji, Hengcong Yang, Xiaosong Li, et al.
Forests (2024) Vol. 15, Iss. 9, pp. 1523-1523
Open Access | Times Cited: 2

A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery
Jixue Liu, Jiuyong Li, Stefan Peters, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101283-101283
Open Access | Times Cited: 1

A Forest Fire Prediction Model Based on Meteorological Factors and the Multi-Model Ensemble Method
Seungcheol Choi, M. Son, Changgyun Kim, et al.
Forests (2024) Vol. 15, Iss. 11, pp. 1981-1981
Open Access | Times Cited: 1

Using computer vision to classify, locate and segment fire behavior in UAS-captured images
Brett Lawrence, Emerson de Lemmus
Science of Remote Sensing (2024), pp. 100167-100167
Open Access

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