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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:

Lightning-Induced Wildfires: An Overview
Song Yang, Cangsu Xu, Xiaolu Li, et al.
Fire (2024) Vol. 7, Iss. 3, pp. 79-79
Open Access | Times Cited: 11

Showing 11 citing articles:

Modeling the Probability of Dry Lightning‐Induced Wildfires in Tasmania: A Machine Learning Approach
Amila Wickramasinghe, Matthias M. Boer, Calum X. Cunningham, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 16
Open Access | Times Cited: 4
Forest-fire interactions, impacts, and implications: a focus on mangroves
Sabrina Dookie, Abdullah Adil Ansari, Sirpaul Jaikishun
New Zealand journal of forestry science (2025) Vol. 55
Open Access
Assessment of land use and land cover (LULC) and vegetation degradation state from wildfire within the scope of forest landscape restoration (FLR) in Cameroon
Kueshi Sémanou Dahan, Hamza Moluh Njoya, Shibire Bekele Eshetu, et al.
European Journal of Remote Sensing (2025) Vol. 58, Iss. 1
Open Access
FusionFireNet: A CNN-LSTM Model for Short-Term Wildfire Hotspot Prediction Utilizing Spatio-Temporal Datasets
Niloofar Alizadeh, Masoud Mahdianpari, Emadoddin Hemmati, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 37, pp. 101436-101436
Closed Access | Times Cited: 1
Interpretable Artificial Intelligence Models for Predicting Lightning Prone to Inducing Forest Fires
S. J. Song, Xiao Zhou, Shangbo Yuan, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024), pp. 106408-106408
Closed Access | Times Cited: 1
Study on the Driving Factors of the Spatiotemporal Pattern in Forest Lightning Fires and 3D Fire Simulation Based on Cellular Automata
Maolin Li, Yingda Wu, Yilin Liu, et al.
Forests (2024) Vol. 15, Iss. 11, pp. 1857-1857
Open Access
Role of positive outlier cloud-to-ground lightning strokes in initiating forest fires in India
D. K. De, Trisanu Banik, Anirban Guha
Journal of Earth System Science (2024) Vol. 133, Iss. 4
Closed Access
Interpretable Artificial Intelligence Models for Predicting Lightning Prone to Inducing Forest Fires
S. J. Song, Xiao Zhou, Shangbo Yuan, et al.
(2024)
Closed Access
Fuel Load Models for Different Tree Vegetation Types in Sichuan Province Based on Machine Learning
Hongrong Wang, H.F. Chen, Fan Wu, et al.
Forests (2024) Vol. 16, Iss. 1, pp. 42-42
Open Access
Biased Perception of Macroecological Findings Triggered by the IPCC—The Example of Wildfires
Carsten Hobohm, Volker Müller‐Benedict
Sustainability (2024) Vol. 17, Iss. 1, pp. 134-134
Open Access
Dry Lightning as a Forest Predator: A Review
Shelly Rajput
Research Journal of Engineering and Technology (2024), pp. 65-68
Closed Access
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