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 Based Object Identification System for Forest Fire Detection
Federico Guede-Fernández, Leonardo Martins, Rui Valente de Almeida, et al.
Fire (2021) Vol. 4, Iss. 4, pp. 75-75
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Forest fire and smoke detection using deep learning-based learning without forgetting
V E Sathishkumar, Jaehyuk Cho, Malliga Subramanian, et al.
Fire Ecology (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 127

An Improved Forest Fire Detection Method Based on the Detectron2 Model and a Deep Learning Approach
Akmalbek Abdusalomov, Bappy MD Siful Islam, Rashid Nasimov, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1512-1512
Open Access | Times Cited: 90

Wildfire and Smoke Detection Using Staged YOLO Model and Ensemble CNN
Chayma Bahhar, Amel Ksibi, Manel Ayadi, et al.
Electronics (2023) Vol. 12, Iss. 1, pp. 228-228
Open Access | Times Cited: 54

A hybrid LBP-CNN with YOLO-v5-based fire and smoke detection model in various environmental conditions for environmental sustainability in smart city
Surjeet Dalal, Umesh Kumar Lilhore, Magdalena Rădulescu, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 14

A Wildfire Smoke Detection System Using Unmanned Aerial Vehicle Images Based on the Optimized YOLOv5
Mukhriddin Mukhiddinov, Akmalbek Abdusalomov, Jinsoo Cho
Sensors (2022) Vol. 22, Iss. 23, pp. 9384-9384
Open Access | Times Cited: 64

A Forest Fire Recognition Method Using UAV Images Based on Transfer Learning
Lin Zhang, Mingyang Wang, Yujia Fu, et al.
Forests (2022) Vol. 13, Iss. 7, pp. 975-975
Open Access | Times Cited: 60

Forest-Fire Response System Using Deep-Learning-Based Approaches With CCTV Images and Weather Data
Dai Quoc Tran, Minsoo Park, Yuntae Jeon, et al.
IEEE Access (2022) Vol. 10, pp. 66061-66071
Open Access | Times Cited: 46

Forest Fire Smoke Detection Based on Deep Learning Approaches and Unmanned Aerial Vehicle Images
Soon-Young Kim, Azamjon Muminov
Sensors (2023) Vol. 23, Iss. 12, pp. 5702-5702
Open Access | Times Cited: 27

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

Monitoring and Cordoning Wildfires with an Autonomous Swarm of Unmanned Aerial Vehicles
Fabrice Saffre, Hanno Hildmann, Hannu Karvonen, et al.
Drones (2022) Vol. 6, Iss. 10, pp. 301-301
Open Access | Times Cited: 36

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

Early Detection of Forest Fire Using Mixed Learning Techniques and UAV
Varanasi L. V. S. K. B. Kasyap, D. Sumathi, K.N.R.K. Raju Alluri, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 27

Deep Learning Approach: YOLOv5-based Custom Object Detection
Taoufik Saidani
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 6, pp. 12158-12163
Open Access | Times Cited: 17

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

Intelligent video-based fire detection: A novel dataset and real-time multi-stage classification approach
Himani Sharma, Navdeep Kanwal
Expert Systems with Applications (2025), pp. 126655-126655
Closed Access

Evaluating Segmentation-Based Deep Learning Models for Real-Time Electric Vehicle Fire Detection
Heejun Kwon, Sugi Choi, Wonmyung Woo, et al.
Fire (2025) Vol. 8, Iss. 2, pp. 66-66
Open Access

FBC-ANet: A Semantic Segmentation Model for UAV Forest Fire Images Combining Boundary Enhancement and Context Awareness
Lin Zhang, Mingyang Wang, Yunhong Ding, et al.
Drones (2023) Vol. 7, Iss. 7, pp. 456-456
Open Access | Times Cited: 13

Forest Fire Smoke Detection Based on Multiple Color Spaces Deep Feature Fusion
Ziqi Han, Ye Tian, Change Zheng, et al.
Forests (2024) Vol. 15, Iss. 4, pp. 689-689
Open Access | Times Cited: 4

Improved and Efficient Object Detection Algorithm based on YOLOv5
Amjad A. Alsuwaylimi, Rakan Alanazi, Sultan M. Alanazi, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 3, pp. 14380-14386
Open Access | Times Cited: 4

Spatial Prioritization for Wildfire Mitigation by Integrating Heterogeneous Spatial Data: A New Multi-Dimensional Approach for Tropical Rainforests
Anjar Dimara Sakti, Adam Irwansyah Fauzi, Wataru Takeuchi, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 543-543
Open Access | Times Cited: 21

3D AQI Mapping Data Assessment of Low-Altitude Drone Real-Time Air Pollution Monitoring
Sarun Duangsuwan, Phoowadon Prapruetdee, Mallika Subongkod, et al.
Drones (2022) Vol. 6, Iss. 8, pp. 191-191
Open Access | Times Cited: 20

An Accurate Forest Fire Recognition Method Based on Improved BPNN and IoT
Shaoxiong Zheng, Peng Gao, Yufei Zhou, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2365-2365
Open Access | Times Cited: 11

Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection
Amirhessam Yazdi, Heyang Qin, Connor B. Jordan, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 3979-3979
Open Access | Times Cited: 16

Real-Time Integration of Segmentation Techniques for Reduction of False Positive Rates in Fire Plume Detection Systems during Forest Fires
Leonardo Martins, Federico Guede-Fernández, Rui Valente de Almeida, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2701-2701
Open Access | Times Cited: 15

A Thermal Imaging Flame-Detection Model for Firefighting Robot Based on YOLOv4-F Model
Sen Li, Yeheng Wang, Chunyong Feng, et al.
Fire (2022) Vol. 5, Iss. 5, pp. 172-172
Open Access | Times Cited: 15

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