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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:

Deep Learning Approaches for Wildland Fires Using Satellite Remote Sensing Data: Detection, Mapping, and Prediction
Rafik Ghali, Moulay A. Akhloufi
Fire (2023) Vol. 6, Iss. 5, pp. 192-192
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Advancements in remote sensing for active fire detection: A review of datasets and methods
Songxi Yang, Qunying Huang, Manzhu Yu
The Science of The Total Environment (2024) Vol. 943, pp. 173273-173273
Closed Access | Times Cited: 15
Robust Forest Fire Detection Method for Surveillance Systems Based on You Only Look Once Version 8 and Transfer Learning Approaches
Nodir Yunusov, Bappy MD Siful Islam, Akmalbek Abdusalomov, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 1039-1039
Open Access | Times Cited: 13
Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach
Mohammad Marjani, Masoud Mahdianpari, Seyed Ali Ahmadi, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 8
Deep Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries Using VIIRS Satellite Data
Mukul Badhan, Kasra Shamsaei, Hamed Ebrahimian, et al.
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 715-715
Open Access | Times Cited: 6
Single-Temporal Sentinel-2 for Analyzing Burned Area Detection Methods: A Study of 14 Cases in Republic of Korea Considering Land Cover
Doi Lee, Sanghun Son, Jaegu Bae, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 884-884
Open Access | Times Cited: 5
Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning
Berk Özel, Muhammad Shahab Alam, Muhammad Umer Khan
Information (2024) Vol. 15, Iss. 9, pp. 538-538
Open Access | Times Cited: 5
Real-time forest fire detection, monitoring, and alert system using Arduino
Afiq Ikhwan Mohd Anuar, Roslina Mohamad, Arni Munira Markom, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 2, pp. 942-942
Open Access | Times Cited: 4
MultiRS flood mapper: a google earth engine application for water extent mapping with multimodal remote sensing and quantile-based postprocessing
Zhouyayan Li, İbrahim Demir
Environmental Modelling & Software (2024) Vol. 176, pp. 106022-106022
Open Access | Times Cited: 4
Precision diagnosis of burn injuries using imaging and predictive modeling for clinical applications
Pramod Rangaiah, B. P. Pradeep Kumar, Fredrik Huss, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Evacuation path optimization algorithm for grassland fires based on SAR imagery and intelligent optimization
Ziyang Zhang, Lingye Tan, Robert L. K. Tiong
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Remote Sensing-Based Deep Learning Approach for Identifying Burned Forest Areas
Reha Paşaoğlu, Ahmet ertugrul Arık, Nuri Emrahoğlu
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi (2025) Vol. 40, Iss. 1, pp. 33-48
Closed Access
Semantic Segmentation of Fire Fronts in Helicopter Imagery Using Vision Transformer Models
G.T. Park, Youngmin Seo, Heeyoung Ahn, et al.
Korean Journal of Remote Sensing (2025) Vol. 41, Iss. 2, pp. 375-385
Open Access
Data-Driven Approaches for Wildfire Mapping and Prediction Assessment Using a Convolutional Neural Network (CNN)
Rida Kanwal, Warda Rafaqat, Mansoor Iqbal, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5099-5099
Open Access | Times Cited: 9
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting
Ioannis Prapas, Nikolaos Ioannis Bountos, Spyros Kondylatos, et al.
(2023), pp. 3756-3761
Open Access | Times Cited: 9
A Deep Learning Framework: Predicting Fire Radiative Power From the Combination of Polar-Orbiting and Geostationary Satellite Data During Wildfire Spread
Zixun Dong, Change Zheng, Fengjun Zhao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 10827-10841
Open Access | Times Cited: 3
Integrating machine learning for enhanced wildfire severity prediction: A study in the Upper Colorado River basin
Heechan Han, Tadesse Alemayehu Abitew, Hadi Bazrkar, et al.
The Science of The Total Environment (2024) Vol. 952, pp. 175914-175914
Closed Access | Times Cited: 3
BoucaNet: A CNN-Transformer for Smoke Recognition on Remote Sensing Satellite Images
Rafik Ghali, Moulay A. Akhloufi
Fire (2023) Vol. 6, Iss. 12, pp. 455-455
Open Access | Times Cited: 8
CT-Fire: a CNN-Transformer for wildfire classification on ground and aerial images
Rafik Ghali, Moulay A. Akhloufi
International Journal of Remote Sensing (2023) Vol. 44, Iss. 23, pp. 7390-7415
Closed Access | Times Cited: 7
Trends and applications in wildfire burned area mapping: Remote sensing data, cloud geoprocessing platforms, and emerging algorithms
Daniel Martin Nelson, Yuhong He, G. W. K. Moore
GEOMATICA (2024) Vol. 76, Iss. 1, pp. 100008-100008
Open Access | Times Cited: 2
Predicting Forest Fire Area Growth Rate Using an Ensemble Algorithm
Long Zhang, Changjiang Shi, Fuquan Zhang
Forests (2024) Vol. 15, Iss. 9, pp. 1493-1493
Open Access | Times Cited: 2
Unveiling spatiotemporal patterns of wildfire risk: a transformer-based earth system analysis
Jiankai Zhu, Xiaodong Liu, Pengle Cheng, et al.
Climate Dynamics (2024) Vol. 63, Iss. 1
Closed Access | Times Cited: 2
Predicting and detecting fires on multispectral images using machine learning methods
Murat Aitimov, Mira Kaldarova, Аkmaral Kassymova, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 1842-1842
Open Access | Times Cited: 1
SWIFT: Simulated Wildfire Images for Fast Training Dataset
Luiz Fernando, Rafik Ghali, Moulay A. Akhloufi
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1627-1627
Open Access | Times Cited: 1
Wildfire Spread Prediction in North America Using Satellite Imagery and Vision Transformer
B. Li, Ryan Rad
(2024), pp. 1536-1541
Closed Access | Times Cited: 1
Utilizing Deep Learning and Spatial Analysis for Accurate Forest Fire Occurrence Forecasting in the Central Region of China
Youbao Guo, Quansheng Hai, Sainbuyan Bayarsaikhan
Forests (2024) Vol. 15, Iss. 8, pp. 1380-1380
Open Access | Times Cited: 1
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