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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:

An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images
Saydirasulov Norkobil Saydirasulovich, Mukhriddin Mukhiddinov, Oybek Djuraev, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8374-8374
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset
Habib Ullah Khan, Inam Ullah, Mohammad Shabaz, et al.
Image and Vision Computing (2024) Vol. 149, pp. 105195-105195
Closed Access | Times Cited: 19
Advancing Maritime Safety: Early Detection of Ship Fires through Computer Vision, Deep Learning Approaches, and Histogram Equalization Techniques
Aziza Ergasheva, Farkhod Akhmedov, Akmalbek Abdusalomov, et al.
Fire (2024) Vol. 7, Iss. 3, pp. 84-84
Open Access | Times Cited: 16
Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
Eman H. Alkhammash
Fire (2025) Vol. 8, Iss. 1, pp. 17-17
Open Access | Times Cited: 2
Fire and Smoke Detection Using Fine-Tuned YOLOv8 and YOLOv7 Deep Models
Mohamed Chetoui, Moulay A. Akhloufi
Fire (2024) Vol. 7, Iss. 4, pp. 135-135
Open Access | Times Cited: 9
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: 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
A Forest Fire Recognition Method Based on Modified Deep CNN Model
Shaoxiong Zheng, Xiangjun Zou, Peng Gao, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 111-111
Open Access | Times Cited: 7
BPN-YOLO: A Novel Method for Wood Defect Detection Based on YOLOv7
Rijun Wang, Yesheng Chen, Fulong Liang, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1096-1096
Open Access | Times Cited: 7
Improving Fire Detection Accuracy through Enhanced Convolutional Neural Networks and Contour Techniques
Аброр Бурибоев, Хошим Рахманов, Temur Soqiyev, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5184-5184
Open Access | Times Cited: 6
Enhancing Automated Brain Tumor Detection Accuracy Using Artificial Intelligence Approaches for Healthcare Environments
Akmalbek Abdusalomov, Mekhriddin Rakhimov, Jakhongir Karimberdiyev, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 627-627
Open Access | Times Cited: 5
A large-scale FireLine global positioning method based on a single unmanned aerial vehicle
Yifan Fu, Haiyu Zhang, Xingdong Li, et al.
International Journal of Remote Sensing (2025) Vol. 46, Iss. 3, pp. 953-978
Closed Access
LSKA-YOLOv8n-WIoU: An Enhanced YOLOv8n Method for Early Fire Detection in Airplane Hangars
Li Deng, Wu Siqi, Jin Zhou, et al.
Fire (2025) Vol. 8, Iss. 2, pp. 67-67
Open Access
AS-YOLO: Enhanced YOLO Using Ghost Bottleneck and Global Attention Mechanism for Apple Stem Segmentation
Na Rae Baek, Y. J. Lee, Dong-Hee Noh, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1422-1422
Open Access
FG-YOLO: an improved YOLOv8 algorithm for real-time fire and smoke detection
Jiale Yao, Juyang Lei, Jun Zhou, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 5
Closed Access
Improving UAV-Based Detection of Low-Emission Smoke with an Advanced Dataset Generation Pipeline
M. Szczepański
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1004-1004
Open Access
Residential Wildfire Structural Damage Detection Using Deep Learning to Analyze Uncrewed Aerial System (UAS) Imagery, Aerial Imagery, and Satellite Imagery
Dae Kun Kang, Michael J. Olsen, Erica C. Fischer, et al.
Fire and Materials (2025)
Closed Access
YOLO-SIFD: YOLO with Sliced Inference and Fractal Dimension Analysis for Improved Fire and Smoke Detection
Mr. Muhammad Ishtiaq, Jong-Un Won
Computers, materials & continua/Computers, materials & continua (Print) (2025) Vol. 82, Iss. 3, pp. 5343-5361
Open Access
Real-Time Fire Hazard Monitoring with Deep Learning
S. N., R. Dhamotharan
(2025), pp. 2060-2069
Closed Access
LD-YOLO: A Lightweight Dynamic Forest Fire and Smoke Detection Model with Dysample and Spatial Context Awareness Module
Zhenyu Lin, Bensheng Yun, Yanan Zheng
Forests (2024) Vol. 15, Iss. 9, pp. 1630-1630
Open Access | Times Cited: 3
Manhole Cover Classification Based on Super-Resolution Reconstruction of Unmanned Aerial Vehicle Aerial Imagery
Dejiang Wang, Yuping Huang
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2769-2769
Open Access | Times Cited: 2
FSH-DETR: An Efficient End-to-End Fire Smoke and Human Detection Based on a Deformable DEtection TRansformer (DETR)
Tianyu Liang, Guigen Zeng
Sensors (2024) Vol. 24, Iss. 13, pp. 4077-4077
Open Access | Times Cited: 2
A Smoke Detection Algorithm Based on Improved YOLO v7 Lightweight Model for UAV Optical Sensors
Haoran Sun, Baojun Shi, Yatong Zhou, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26136-26147
Closed Access | Times Cited: 2
Early Poplar (Populus) Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique
Furkat Bolikulov, Akmalbek Abdusalomov, Rashid Nasimov, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5200-5200
Open Access | Times Cited: 2
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
A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery
Jixue Liu, Jiuyong Li, Stefan Peters, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101283-101283
Open Access | Times Cited: 1
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