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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:

Developing novel machine-learning-based fire weather indices
Assaf Shmuel, Eyal Heifetz
Machine Learning Science and Technology (2023) Vol. 4, Iss. 1, pp. 015029-015029
Open Access | Times Cited: 11

Showing 11 citing articles:

Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR
Shihab Ahmad Shahriar, Yunsoo Choi, Rashik Islam
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 515-515
Open Access | Times Cited: 1
Regression-Based Machine Learning for Predicting Lifting Movement Pattern Change in People with Low Back Pain
Trung C. Phan, Adrian Pranata, Joshua Farragher, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1337-1337
Open Access | Times Cited: 8
Wildfire susceptibility mapping by incorporating damage proxy maps, differenced normalized burn Ratio, and deep learning algorithms based on sentinel-1/2 data: a case study on Maui Island, Hawaii
Suci Ramayanti, Bong-Chan Kim, Sungjae Park, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 8
Forest fire vulnerability in Nepal's Chure region: Investigating the influencing factors using generalized linear model
Khagendra Prasad Joshi, Gunjan Adhikari, Divya Bhattarai, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28525-e28525
Open Access | Times Cited: 7
Vegetation optical depth as a key predictor for fire risk escalation
Dinuka Kankanige, Yi Liu, Ashish Sharma
Ecological Informatics (2025), pp. 103050-103050
Open Access
Mapping wildfire susceptibility in the tropical region of Brunei: a machine learning and explainable AI approach using google earth engine with remote sensing data
Rufai Yusuf Zakari, Owais Ahmed Malik, Ong Wee-Hong
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
A Machine-Learning Approach to Predicting Daily Wildfire Expansion Rate
Assaf Shmuel, Eyal Heifetz
Fire (2023) Vol. 6, Iss. 8, pp. 319-319
Open Access | Times Cited: 9
The Power of Machine Learning in Forest Fire Risk Analysis and Resilience: Navigating Best Practices, Challenges, and Opportunities
Atharva Awatade, Pratap Dnyandeo Pawar, D. Lakshmi
Geotechnologies and the environment (2024), pp. 149-170
Closed Access | Times Cited: 2
Predicting daily firefighting personnel deployment trends in the western United States
Kevin A. Young, Erin J. Belval, Karin L. Riley, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122705-122705
Closed Access | Times Cited: 1
Application of Deep Learning for Wildfire Risk Management: Preliminary Results
Alessio De Rango, Donato D’Ambrosio, Giuseppe Mendicino
Lecture notes in computer science (2024), pp. 223-230
Closed Access
Fire Risk Prediction Based on Feature Correlation Analysis and the XGBoost
Ning Zhu, Tian Tian, Fanshu Kong, et al.
(2024), pp. 36-41
Closed Access
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