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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:

Application of the Artificial Neural Network and Support Vector Machines in Forest Fire Prediction in the Guangxi Autonomous Region, China
Yudong Li, Zhongke Feng, Shilin Chen, et al.
Discrete Dynamics in Nature and Society (2020) Vol. 2020, pp. 1-14
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Forest Fire Occurrence Prediction in China Based on Machine Learning Methods
Yongqi Pang, Yudong Li, Zhongke Feng, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5546-5546
Open Access | Times Cited: 78
Spatio-temporal feature attribution of European summer wildfires with Explainable Artificial Intelligence (XAI)
Hanyu Li, Stenka Vulova, Alby Duarte Rocha, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170330-170330
Open Access | Times Cited: 23
Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 19
Mapping China’s Forest Fire Risks with Machine Learning
Yakui Shao, Zhongke Feng, Linhao Sun, et al.
Forests (2022) Vol. 13, Iss. 6, pp. 856-856
Open Access | Times Cited: 49
A modified vision transformer architecture with scratch learning capabilities for effective fire detection
Hikmat Yar, Zulfiqar Ahmad Khan, Tanveer Hussain, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 123935-123935
Closed Access | Times Cited: 10
Comparison of diverse machine learning algorithms for forest fire susceptibility mapping in Antalya, Türkiye
Hazan Alkan Akıncı, Halil Akıncı, Mustafa Zeybek
Advances in Space Research (2024) Vol. 74, Iss. 2, pp. 647-667
Closed Access | Times Cited: 8
A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm
Yanyan Sun, Fuquan Zhang, Haifeng Lin, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4362-4362
Open Access | Times Cited: 28
An Ensemble Model for Forest Fire Occurrence Mapping in China
Yakui Shao, Zhongke Feng, Meng Cao, et al.
Forests (2023) Vol. 14, Iss. 4, pp. 704-704
Open Access | Times Cited: 13
Forest fire risk assessment model optimized by stochastic average gradient descent
Zexin Fu, Adu Gong, Jia Wan, et al.
Ecological Indicators (2025) Vol. 170, pp. 113006-113006
Open Access
Integrated spatial generalized additive modeling for forest fire prediction: a case study in Fujian Province, China
Chunhui Li, Zhangwen Su, Ruijing Ni, et al.
Journal of Forestry Research (2025) Vol. 36, Iss. 1
Closed Access
Integrated image processing and machine learning framework for precise quantification and prediction of soil erosion
Shubham Kumar, Charu Chauhan, T. P. S. Chauhan, et al.
The Visual Computer (2025)
Closed Access
Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China
Jamshid Ali, Haoran Wang, Kaleem Mehmood, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
BSEIFFS: Blockchain-secured edge-intelligent forest fire surveillance
Sreemana Datta, Ditipriya Sinha
Future Generation Computer Systems (2023) Vol. 147, pp. 59-76
Closed Access | Times Cited: 11
Forecast Zoning of Forest Fire Occurrence: A Case Study in Southern China
Xiaodong Jing, Xusheng Li, Donghui Zhang, et al.
Forests (2024) Vol. 15, Iss. 2, pp. 265-265
Open Access | Times Cited: 4
Modeling of Forest Fire Risk Areas of Amazonas Department, Peru: Comparative Evaluation of Three Machine Learning Methods
Alex J. Vergara, Sivmny V. Valqui-Reina, Dennis Cieza-Tarrillo, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 273-273
Open Access
Demarcation of Forest Fire Risk Zones in Silent Valley National Park and the Effectiveness of Forest Management Regime
Kolangad Amrutha, Jean Homian Danumah, S. Nikhil, et al.
Journal of Geovisualization and Spatial Analysis (2022) Vol. 6, Iss. 1
Closed Access | Times Cited: 17
Modeling of soluble solid content of PE‐packaged blueberries based on near‐infrared spectroscopy with back propagation neural network and partial least squares (BP–PLS) algorithm
Ya Chen, Yaoxiang Li, Roger A. Williams, et al.
Journal of Food Science (2023) Vol. 88, Iss. 11, pp. 4602-4619
Closed Access | Times Cited: 9
Forest fire occurrence modeling in Southwest Turkey using MaxEnt machine learning technique
Merih Göltaş, H Ayberk, Ömer Küçük
iForest - Biogeosciences and Forestry (2024) Vol. 17, Iss. 1, pp. 10-18
Open Access | Times Cited: 3
Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors
A. Novo, Hurem Dutal, Saeedeh Eskandari
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 2, pp. 655-679
Closed Access | Times Cited: 3
Fire danger forecasting using machine learning-based models and meteorological observation: a case study in Northeastern China
Zhen-Yu Chen, Chen Zhang, Wendi Li, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 22, pp. 61861-61881
Closed Access | Times Cited: 8
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: 2
Prediction of Forest-Fire Occurrence in Eastern China Utilizing Deep Learning and Spatial Analysis
Jing Li, Duan Huang, Chuxiang Chen, et al.
Forests (2024) Vol. 15, Iss. 9, pp. 1672-1672
Open Access | Times Cited: 1
Energy-efficient routing in LEO satellite networks for extending satellites lifetime
Renata do N. Mota Macambira, Celso B. Carvalho, José Ferreira de Rezende
Computer Communications (2022) Vol. 195, pp. 463-475
Closed Access | Times Cited: 7
Research on Multi-Factor Forest Fire Prediction Model Using Machine Learning Method in China
Yudong Li, Zhongke Feng, Ziyu Zhao, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 4
Fire Risk Prediction Using Building Information and Machine Learning Methods
Do-Won Yoon, Hyesun Hwang, Tae‐Young Pak, et al.
Lecture notes in networks and systems (2022), pp. 22-30
Closed Access | Times Cited: 3
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