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:

Active Fire Detection Using a Novel Convolutional Neural Network Based on Himawari-8 Satellite Images
Zhonghua Hong, Zhizhou Tang, Haiyan Pan, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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: 43

A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency
Yoojin Kang, Eunna Jang, Jungho Im, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2019-2035
Open Access | Times Cited: 52

High-Resolution Semantic Segmentation of Woodland Fires Using Residual Attention UNet and Time Series of Sentinel-2
Zeinab Shirvani, Omid Abdi, Rosa C. Goodman
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1342-1342
Open Access | Times Cited: 22

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: 10

An Efficient Wildfire Detection System for AI-Embedded Applications Using Satellite Imagery
George L. James, Ryeim B. Ansaf, Sanaa S.A. Al-Samahi, et al.
Fire (2023) Vol. 6, Iss. 4, pp. 169-169
Open Access | Times Cited: 16

Image-based fire detection using an attention mechanism and pruned dense network transfer learning
Hai Li, Zheng Ma, Sheng‐Hua Xiong, et al.
Information Sciences (2024) Vol. 670, pp. 120633-120633
Closed Access | Times Cited: 7

Fire Detection and Geo-Localization Using UAV’s Aerial Images and Yolo-Based Models
Kheireddine Choutri, Mohand Lagha, Souham Meshoul, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11548-11548
Open Access | Times Cited: 13

Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature
Lizhi Zhang, Qiang Zhang, Qianqian Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104416-104416
Closed Access

FireXplainNet: Optimizing Convolution Block Architecture for Enhanced Wildfire Detection and Interpretability
Muneeb A. Khan, Heemin Park
Electronics (2024) Vol. 13, Iss. 10, pp. 1881-1881
Open Access | Times Cited: 3

Integrating Machine Learning and a Spatial Contextual Algorithm to Detect Wildfire from Himawari-8 Data in Southwest China
Chuanfeng Liu, Rui Chen, Binbin He
Forests (2023) Vol. 14, Iss. 5, pp. 919-919
Open Access | Times Cited: 10

Fire Detection with Deep Learning: A Comprehensive Review
Rodrigo Nogueira de Vasconcelos, Washington Franca-Rocha, Diego P. Costa, et al.
Land (2024) Vol. 13, Iss. 10, pp. 1696-1696
Open Access | Times Cited: 3

Wildfire detection through deep learning based on Himawari-8 satellites platform
Changcheng Ding, Xiaoyu Zhang, Jianyu Chen, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 13, pp. 5040-5058
Closed Access | Times Cited: 12

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: 2

AOSVSSNet: Attention-Guided Optical Satellite Video Smoke Segmentation Network
Taoyang Wang, Jianzhi Hong, Yuqi Han, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 8552-8566
Open Access | Times Cited: 10

Real-Time Wildfire Detection and Alerting with a Novel Machine Learning Approach
Audrey Zhang, Albert S. Zhang
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access | Times Cited: 9

Forest Functioning under Climate Warming and Future Perspectives on Forest Disturbances
Any Mary Petriţan, Mirela Beloiu
Forests (2023) Vol. 14, Iss. 12, pp. 2302-2302
Open Access | Times Cited: 4

A comprehensive survey on several fire management approaches in wireless sensor networks
Swetha Rajendran, Navaneethan Chenniappan
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 2, pp. 947-954
Open Access | Times Cited: 1

Multisensor Fuzzy Logic Approach for Enhanced Fire Detection in Smart Cities
Vaegae Naveen Kumar, Visalakshi Annepu, Kalapraveen Bagadi, et al.
Journal of Optimization (2024) Vol. 2024, pp. 1-12
Open Access | Times Cited: 1

FPS-U2Net: Combining U2Net and Multi-level Aggregation Architecture for Fire Point Segmentation in Remote Sensing Images
Wei Fang, Yuxiang Fu, Victor S. Sheng
Computers & Geosciences (2024) Vol. 189, pp. 105628-105628
Closed Access | Times Cited: 1

10-Minute forest early wildfire detection: Fusing multi-type and multi-source information via recursive transformer
Qiang Zhang, Jian Zhu, Yushuai Dong, et al.
Neurocomputing (2024), pp. 128963-128963
Closed Access | Times Cited: 1

Wildfire Detection System using Yolov5 Deep Learning Model
Ahmed Saleem, Sawsen Abdulhadi
International Journal of Computing and Digital Systems (2023) Vol. 14, Iss. 1, pp. 10149-10158
Open Access | Times Cited: 4

Near Real-Time Monitoring of Fire Spots Using a Novel SBT-FireNet Based on Himawari-8 Satellite Images
Zhonghua Hong, Zhizhou Tang, Haiyan Pan, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1719-1733
Open Access | Times Cited: 3

Early Detection of Forest Fire using Deep Image Neural Networks
M. K. Nallakaruppan, Sofia Pillai, Garima Bharadwaj, et al.
2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET) (2023), pp. 1-5
Closed Access | Times Cited: 2

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