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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:

Improving the prediction of wildfire susceptibility on Hawaiʻi Island, Hawaiʻi, using explainable hybrid machine learning models
Trang Thi Kieu Tran, Saeid Janizadeh, Sayed M. Bateni, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119724-119724
Closed Access | Times Cited: 17

Showing 17 citing articles:

Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes
Yavar Pourmohamad, John T. Abatzoglou, Erica Fleishman, et al.
Earth s Future (2025) Vol. 13, Iss. 1
Open Access | Times Cited: 5
SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye
Muzaffer Can İban, Oktay Aksu
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2842-2842
Open Access | Times Cited: 9
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
Mapping the probability of forest fire hazard across the European Alps under climate change scenarios
Kilian Gerberding, Uta Schirpke
Journal of Environmental Management (2025) Vol. 377, pp. 124600-124600
Open Access | Times Cited: 1
Explainable Sinkhole Susceptibility Mapping Using Machine-Learning-Based SHAP: Quantifying and Comparing the Effects of Contributing Factors in Konya, Türkiye
Süleyman Sefa Bilgilioğlu, Cemil Gezgin, Muzaffer Can İban, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3139-3139
Open Access | Times Cited: 1
Wastewater treatment process enhancement based on multi-objective optimization and interpretable machine learning
Tianxiang Liu, Heng Zhang, Junhao Wu, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121430-121430
Closed Access | Times Cited: 8
Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kauaʻi and Molokaʻi Islands, Hawaii
Saeid Janizadeh, Trang Thi Kieu Tran, Sayed M. Bateni, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 124963-124963
Closed Access | Times Cited: 4
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
Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models
Assaf Shmuel, Teddy Lazebnik, Oren Glickman, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine Learning-Based Wildfire Susceptibility Mapping: A Gis-Integrated Predictive Framework
Yehya Bouzeraa, Nardjes Bouchemal, Salim Djaaboub
(2025)
Closed Access
Advancements in Artificial Intelligence Applications for Forest Fire Prediction
Hui Liu, Lifu Shu, Xiaodong Liu, et al.
Forests (2025) Vol. 16, Iss. 4, pp. 704-704
Open Access
Study on the temporal pattern and county-scale comprehensive risk assessment of wildfires in Sichuan Province
Weiting Yue, Yunji Gao, Yao Xiao, et al.
Research Square (Research Square) (2025)
Closed Access
Assessing wildfire susceptibility and driving variables in Portugal using machine learning approach
Vicente Paulo Santana Neto, Alexandra Nunes, Fillipe Tamiozzo Pereira Torres, et al.
Journal for Nature Conservation (2025), pp. 126956-126956
Closed 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
Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region
Hasan Tonbul
Earth Science Informatics (2024)
Closed Access | Times Cited: 3
A temporal perspective on the reliability of wildfire hazard assessment based on machine learning and remote sensing data
Zakaria Matougui, Mohamed Zouidi
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 2
Assessment of Forest Fire Vulnerability Prediction in Indonesia: Seasonal Variability Analysis Using Machine Learning Techniques
Wulan Salle Karurung, Kangjae Lee, Wonhee Lee
(2024)
Closed Access
Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning
Mohamed Aymane Ahajjam, Mareen Allgaier, R. J. Chance, et al.
Ecological Informatics (2024), pp. 102963-102963
Open Access
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