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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:

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: 55

Showing 1-25 of 55 citing articles:

Coastline extraction using remote sensing: a review
Weiwei Sun, Chao Chen, Weiwei Liu, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 50
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
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling
Yanjie Song, Junwei Ou, Witold Pedrycz, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 4, pp. 2576-2589
Closed Access | Times Cited: 24
Deep artificial intelligence applications for natural disaster management systems: A methodological review
Akhyar Akhyar, Mohd Asyraf Zulkifley, Jaesung Lee, et al.
Ecological Indicators (2024) Vol. 163, pp. 112067-112067
Open Access | Times Cited: 17
Forest Fire Prediction Based on Long- and Short-Term Time-Series Network
Xufeng Lin, Zhongyuan Li, Wenjing Chen, et al.
Forests (2023) Vol. 14, Iss. 4, pp. 778-778
Open Access | Times Cited: 31
Forest fire surveillance systems: A review of deep learning methods
Azlan Saleh, Mohd Asyraf Zulkifley, Hazimah Haspi Harun, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23127-e23127
Open Access | Times Cited: 31
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
Automatic detection tree crown and height using Mask R-CNN based on unmanned aerial vehicles images for biomass mapping
Hancong Fu, Hengqian Zhao, Jinbao Jiang, et al.
Forest Ecology and Management (2024) Vol. 555, pp. 121712-121712
Closed Access | Times Cited: 10
CNTCB-YOLOv7: An Effective Forest Fire Detection Model Based on ConvNeXtV2 and CBAM
Yiqing Xu, Jiaming Li, Long Zhang, et al.
Fire (2024) Vol. 7, Iss. 2, pp. 54-54
Open Access | Times Cited: 10
Fire in Focus: Advancing Wildfire Image Segmentation by Focusing on Fire Edges
Guodong Wang, Fang Wang, Hongping Zhou, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 217-217
Open Access | Times Cited: 9
Two-step carbon storage estimation in urban human settlements using airborne LiDAR and Sentinel-2 data based on machine learning
Yeonsu Lee, Bokyung Son, Jungho Im, et al.
Urban forestry & urban greening (2024) Vol. 94, pp. 128239-128239
Closed Access | Times Cited: 7
Forest Defender Fusion System for Early Detection of Forest Fires
Manar Khalid Ibraheem, Mbarka Belhaj Mohamed, Ahmed Fakhfakh
Computers (2024) Vol. 13, Iss. 2, pp. 36-36
Open Access | Times Cited: 5
Real-Time Wildfire Detection Algorithm Based on VIIRS Fire Product and Himawari-8 Data
Da Zhang, Chunlin Huang, Juan Gu, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1541-1541
Open Access | Times Cited: 13
An Efficient Forest Fire Target Detection Model Based on Improved YOLOv5
Long Zhang, Jiaming Li, Fuquan Zhang
Fire (2023) Vol. 6, Iss. 8, pp. 291-291
Open Access | Times Cited: 12
Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach
Yoojin Kang, Jungho Im
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103784-103784
Open Access | Times Cited: 4
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: 4
Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning
Yeseul Cho, Jhoon Kim, Jeewoo Lee, et al.
Atmospheric Research (2023) Vol. 290, pp. 106787-106787
Closed Access | Times Cited: 10
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
Transformative Trends in AI for Environmental Monitoring
R. Leena Sri, Divya Vetriveeran, Rakoth Kandan Sambandam, et al.
(2025), pp. 1-28
Closed Access
A Comprehensive Feature Extraction Network for Deep-Learning-Based Wildfire Detection in Remote Sensing Imagery
Haiyan Pan, Die Luo, Yuewei Zhang
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3699-3699
Open Access
Advancing timely satellite precipitation for IMERG-ER using GOES-16 data and a U-Net convolutional neural network modelling approach
Mateo Vélez-Hernández, Paúl Muñoz, Esteban Samaniego, et al.
Environmental Modelling & Software (2025), pp. 106457-106457
Closed Access
Enhancement of Forest Fire Assessment by KDCPMNN Approach in Sikkim, India Using Remote Sensing Images
Kapila Sharma, Gokarna Jung Thapa
Communications in computer and information science (2025), pp. 379-394
Closed Access
Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions
Yoojin Kang, Taejun Sung, Jungho Im
Remote Sensing of Environment (2023) Vol. 298, pp. 113814-113814
Closed Access | Times Cited: 9
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach
Zhonghui Lv, Karinna Nunez, Ethan Brewer, et al.
GIScience & Remote Sensing (2023) Vol. 61, Iss. 1
Open Access | Times Cited: 9
Burned-Area Mapping Using Post-Fire PlanetScope Images and a Convolutional Neural Network
Byeongcheol Kim, Kyungil Lee, Seonyoung Park
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2629-2629
Open Access | Times Cited: 3
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