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:

Advanced wildfire detection using generative adversarial network-based augmented datasets and weakly supervised object localization
Minsoo Park, Dai Quoc Tran, JinYeong Bak, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103052-103052
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Advancements in Forest Fire Prevention: A Comprehensive Survey
Francesco Carta, Chiara Zidda, Martina Putzu, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6635-6635
Open Access | Times Cited: 54

Small and overlapping worker detection at construction sites
Minsoo Park, Dai Quoc Tran, JinYeong Bak, et al.
Automation in Construction (2023) Vol. 151, pp. 104856-104856
Open Access | Times Cited: 39

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: 9

ESFD-YOLOv8n: Early Smoke and Fire Detection Method Based on an Improved YOLOv8n Model
Dilshodjon Mamadaliev, Philippe Lyonel Mbouembe Touko, Jae Ho Kim, et al.
Fire (2024) Vol. 7, Iss. 9, pp. 303-303
Open Access | Times Cited: 9

Computer vision for wildfire detection: a critical brief review
Leo Ramos, Edmundo Casas, Eduardo Bendek, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 83427-83470
Closed Access | Times Cited: 8

A self-adaptive wildfire detection algorithm by fusing physical and deep learning schemes
Shuting Jin, Tianxing Wang, Huabing Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103671-103671
Open Access | Times Cited: 6

Intelligent segmentation of wildfire region and interpretation of fire front in visible light images from the viewpoint of an unmanned aerial vehicle (UAV)
Jianwei Li, Jingkai Wan, Long Sun, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 473-489
Closed Access

Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling
Ryan O’Loughlin, Dan Li, Richard Neale, et al.
Geoscientific model development (2025) Vol. 18, Iss. 3, pp. 787-802
Open Access

FireSeg: A weakly supervised fire segmentation framework via pre-trained latent diffusion models
Wei Zhang, Hongtao Zheng, Weiran Li, et al.
Expert Systems with Applications (2025), pp. 126852-126852
Closed Access

Domain-incremental learning for fire detection in space-air-ground integrated observation network
Ming Wang, Dayu Yu, Wan‐Ting He, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103279-103279
Open Access | Times Cited: 12

Preventing falls from floor openings using quadrilateral detection and construction worker pose-estimation
Minsoo Park, Almo Senja Kulinan, Dai Quoc Tran, et al.
Automation in Construction (2024) Vol. 165, pp. 105536-105536
Closed Access | Times Cited: 4

Generative AI for Fire Safety
M. Hamed Mozaffari, Yuchuan Li, Yoon Ko
Springer eBooks (2024), pp. 577-600
Closed Access | Times Cited: 3

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

Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss
Junling Wang, Yupeng Wang, Liping Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3606-3606
Open Access | Times Cited: 9

Real-time monitoring unsafe behaviors of portable multi-position ladder worker using deep learning based on vision data
Minsoo Park, Dai Quoc Tran, JinYeong Bak, et al.
Journal of Safety Research (2023) Vol. 87, pp. 465-480
Open Access | Times Cited: 9

Rapid wildfire damage estimation using integrated object-based classification with auto-generated training samples from Sentinel-2 imagery on Google Earth Engine
Almo Senja Kulinan, Younghyun Cho, Minsoo Park, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 126, pp. 103628-103628
Open Access | Times Cited: 9

Accuracy Assessment of Drone Real-Time Open Burning Imagery Detection for Early Wildfire Surveillance
Sarun Duangsuwan, Katanyoo Klubsuwan
Forests (2023) Vol. 14, Iss. 9, pp. 1852-1852
Open Access | Times Cited: 8

Improving Non-Line-of-Sight Identification in Cellular Positioning Systems Using a Deep Autoencoding and Generative Adversarial Network Model
Yanbiao Gao, Zhongliang Deng, Yuqi Huo, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6494-6494
Open Access | Times Cited: 2

Using Machine Learning and Aggregated Remote Sensing Data for Wildfire Occurrence Prediction and Feature Selection: A Case Study in California
Timothy Gao, Lufan Wang, Xiang Gao
Computing in Civil Engineering (2024), pp. 52-59
Closed Access | Times Cited: 2

A Synergistic Approach to Wildfire Prevention and Management Using AI, ML, and 5G Technology in the United States
Stanley Okoro, Alexander Lopez, Austine Unuriode
SSRN Electronic Journal (2024)
Open Access | Times Cited: 1

Research on the Exposure Risk Analysis of Wildfires with a Spatiotemporal Knowledge Graph
Xingtong Ge, Ling Peng, Yi Yang, et al.
Fire (2024) Vol. 7, Iss. 4, pp. 131-131
Open Access | Times Cited: 1

Review and perspectives of digital twin systems for wildland fire management
Yizhou Li, Tianhang Zhang, Yifei Ding, et al.
Journal of Forestry Research (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 1

Identifying wildfires with convolutional neural networks and remote sensing: application to Amazon rainforest
Cíntia L. Eleutério, Naziano Filizola, Alderlene Pimentel de Brito, et al.
International Journal of Remote Sensing (2024), pp. 1-22
Closed Access

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