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 hybrid deep learning model by combining convolutional neural network and recurrent neural network to detect forest fire
Rajib Ghosh, Anupam Kumar
Multimedia Tools and Applications (2022) Vol. 81, Iss. 27, pp. 38643-38660
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

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: 42

Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation
Rafik Ghali, Moulay A. Akhloufi
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1821-1821
Open Access | Times Cited: 39

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, et al.
Information Fusion (2024) Vol. 108, pp. 102369-102369
Open Access | Times Cited: 34

FLAME: fire detection in videos combining a deep neural network with a model-based motion analysis
Diego Gragnaniello, Antonio Greco, Carlo Sansone, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1

Predicting real-time fire heat release rate by flame images and deep learning
Zilong Wang, Tianhang Zhang, Xinyan Huang
Proceedings of the Combustion Institute (2022) Vol. 39, Iss. 3, pp. 4115-4123
Open Access | Times Cited: 44

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: 29

Video Fire Detection Methods Based on Deep Learning: Datasets, Methods, and Future Directions
C Jin, Tao Wang, Naji Alhusaini, et al.
Fire (2023) Vol. 6, Iss. 8, pp. 315-315
Open Access | Times Cited: 21

Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 13

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

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

A magnification-independent method for breast cancer classification using transfer learning
Vandana Kumari, Rajib Ghosh
Healthcare Analytics (2023) Vol. 3, pp. 100207-100207
Open Access | Times Cited: 17

Contribution and behavioral assessment of physical and anthropogenic factors for soil erosion using integrated deep learning and game theory
Ishita Afreen Ahmed, Swapan Talukdar, Abu Reza Md. Towfiqul Islam, et al.
Journal of Cleaner Production (2023) Vol. 416, pp. 137689-137689
Closed Access | Times Cited: 16

Fire and smoke detection from videos: A literature review under a novel taxonomy
Diego Gragnaniello, Antonio Greco, Carlo Sansone, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124783-124783
Open Access | Times Cited: 6

A semi-self-supervised learning model to recognize handwritten characters in ancient documents in Indian scripts
Amar Jindal, Rajib Ghosh
Neural Computing and Applications (2024) Vol. 36, Iss. 20, pp. 11791-11808
Closed Access | Times Cited: 3

A Novel Method for Rice Identification: Coupling Raman Spectroscopy with Fourier Spectrum and Analyzing with Deep Learning
Mengda Chai, Wuliji Hasi, Xiya Ming, et al.
Journal of Food Composition and Analysis (2024), pp. 106793-106793
Closed Access | Times Cited: 3

Lightweight forest smoke and fire detection algorithm based on improved YOLOv5
Jie Yang, Wenchao Zhu, T. R. Sun, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291359-e0291359
Open Access | Times Cited: 9

CT-Fire: a CNN-Transformer for wildfire classification on ground and aerial images
Rafik Ghali, Moulay A. Akhloufi
International Journal of Remote Sensing (2023) Vol. 44, Iss. 23, pp. 7390-7415
Closed Access | Times Cited: 7

Predict Future Transient Fire Heat Release Rates Based on Fire Imagery and Deep Learning
Lei Xu, Jinyuan Dong, Delei Zou
Fire (2024) Vol. 7, Iss. 6, pp. 200-200
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

Lightweight Fire Detection Algorithm Based on Improved YOLOv5
Dawei Zhang, Yu-Tang Chen
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 1

Forest Fire Detection and Recognition Using YOLOv8 Algorithms from UAVs Images
Xuanbo Jia, Yike Wang, Taiming Chen
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) (2023), pp. 646-651
Closed Access | Times Cited: 4

Google Earth Engine Framework for Satellite Data-Driven Wildfire Monitoring in Ukraine
Bohdan Yailymov, Andrii Shelestov, Hanna Yailymova, et al.
Fire (2023) Vol. 6, Iss. 11, pp. 411-411
Open Access | Times Cited: 4

3ENB2: end-to-end EfficientNetB2 model with online data augmentation for fire detection
Ehsanullah Zia, Hamed Vahdat-Nejad, Mohammad Ali Zeraatkar, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 10, pp. 7183-7197
Closed Access | Times Cited: 1

Automated system for classifying images of video streams for timely detection of fires
Sergey Filist, Riad Taha Al-Kasasbeh, Rima Alexandrovna Tomakova, et al.
International Journal of Remote Sensing (2024), pp. 1-24
Closed Access | Times Cited: 1

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