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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:

Parallel SVM model for forest fire prediction
Kajol Singh, K. P. Neethu, K. Madhurekaa, et al.
Soft Computing Letters (2021) Vol. 3, pp. 100014-100014
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India
Chiranjit Singha, Kishore Chandra Swain, Armin Moghimi, et al.
Forest Ecology and Management (2024) Vol. 555, pp. 121729-121729
Open Access | Times Cited: 27
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
Fahad Shahzad, Kaleem Mehmood, Shoaib Ahmad Anees, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access | Times Cited: 2
Study on Small-Scale Forest Fire Risk Zoning Based on Random Forest and the Fuzzy Analytic Network Process
Dai Chen, Aicong Zeng, Yan He, et al.
Forests (2025) Vol. 16, Iss. 1, pp. 97-97
Open Access | Times Cited: 1
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 | Times Cited: 1
A novel fusion Support Vector Machine integrating weak and sphere models for classification challenges with massive data
Jonatha Sousa Pimentel, Raydonal Ospina, Anderson Ara
Decision Analytics Journal (2024) Vol. 11, pp. 100457-100457
Open Access | Times Cited: 6
RVFR: Random vector forest regression model for integrated & enhanced approach in forest fires predictions
Robin Singh Bhadoria, Manish Kumar Pandey, Pradeep Kundu
Ecological Informatics (2021) Vol. 66, pp. 101471-101471
Closed Access | Times Cited: 30
A geographical similarity-based sampling method of non-fire point data for spatial prediction of forest fires
Quanli Xu, Wenhui Li, Jing Liu, et al.
Forest Ecosystems (2023) Vol. 10, pp. 100104-100104
Open Access | Times Cited: 13
A PSO-CNN-Based Deep Learning Model for Predicting Forest Fire Risk on a National Scale
Xingyue You, Zhong Zheng, Kangquan Yang, et al.
Forests (2023) Vol. 15, Iss. 1, pp. 86-86
Open Access | Times Cited: 12
Model Prediksi Kualitas Udara dengan Support Vector Machines dengan Optimasi Hyperparameter GridSearch CV
Ahmad Toha, Purwono Purwono, Windu Gata
Buletin Ilmiah Sarjana Teknik Elektro (2022) Vol. 4, Iss. 1, pp. 12-21
Open Access | Times Cited: 19
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
Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine
Yue Chen, Weili Kou, Wenna Miao, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 741-741
Open Access
IOT DESTEKLİ HAVA DURUMU VERİLERİ İLE YAPAY ZEKÂ TABANLI HAVA TAHMİN SİSTEMİNİN GELİŞTİRİLMESİ
Nurullah Doğan, Fatih Özyurt
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 524-535
Open Access
Research on the Prediction of Forest Fires in the Central Yunnan Region Based on the Coupling Coordination Degree
K. Dong, Zu‐Hua Gao, X. T., et al.
Frontiers in Science and Engineering (2025) Vol. 5, Iss. 5, pp. 80-93
Closed Access
Semantic segmentation of soil salinity using in-situ EC measurements and deep learning based U-NET architecture
Şeyma AKÇA, Oğuz Güngör
CATENA (2022) Vol. 218, pp. 106529-106529
Closed Access | Times Cited: 15
Cost-sensitive max-margin feature selection for SVM using alternated sorting method genetic algorithm
Khalid Y. Aram, Sarah S. Lam, Mohammad T. Khasawneh
Knowledge-Based Systems (2023) Vol. 267, pp. 110421-110421
Closed Access | Times Cited: 9
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: 9
Predicting the Occurrence of Forest Fire in the Central-South Region of China
Quansheng Hai, Xiufeng Han, Battsengel Vandansambuu, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 844-844
Open Access | Times Cited: 3
Integrating Multi-Source Remote Sensing Data for Forest Fire Risk Assessment
X. Liu, Change Zheng, Guangyu Wang, et al.
Forests (2024) Vol. 15, Iss. 11, pp. 2028-2028
Open Access | Times Cited: 3
Forest fire prediction using IoT and deep learning
J. Ananthi, N. Sengottaiyan, S. Anbukaruppusamy, et al.
International Journal of Advanced Technology and Engineering Exploration (2021) Vol. 9, Iss. 87
Open Access | Times Cited: 19
Evaluation on algorithm reliability and efficiency for an image flame detection technology
Yi Yang, Xuefeng Wang, Meng-Yi Pan, et al.
Journal of Thermal Analysis and Calorimetry (2023) Vol. 148, Iss. 11, pp. 5063-5070
Closed Access | Times Cited: 8
A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection
Kemal Akyol
Cluster Computing (2023) Vol. 27, Iss. 2, pp. 1201-1215
Closed Access | Times Cited: 8
Air quality in the New Delhi metropolis under COVID-19 lockdown
Dewansh Kaloni, Yee Hui Lee, Soumyabrata Dev
Systems and Soft Computing (2022) Vol. 4, pp. 200035-200035
Open Access | Times Cited: 12
Data Mining in the Analysis of Tree Harvester Performance Based on Automatically Collected Data
Krzysztof Polowy, Marta Molińska-Glura
Forests (2023) Vol. 14, Iss. 1, pp. 165-165
Open Access | Times Cited: 6
Linkage Detection of Features that Cause Stroke using Feyn Qlattice Machine Learning Model
Purwono Purwono, Alfian Ma’arif, Iis Setiawan Mangku Negara, et al.
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (2021) Vol. 7, Iss. 3, pp. 423-423
Open Access | Times Cited: 12
Analysis of DNA Sequence Classification Using SVM Model with Hyperparameter Tuning Grid Search CV
Iis Setiawan Mangkunegara, Purwono Purwono
(2022), pp. 427-432
Closed Access | Times Cited: 9
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