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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:

Applications of deep learning in fish habitat monitoring: A tutorial and survey
Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121841-121841
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Survey
Ming-Shu Cui, Xubo Liu, Haohe Liu, et al.
Reviews in Aquaculture (2025) Vol. 17, Iss. 1
Closed Access | Times Cited: 4
ConvFishNet: An efficient backbone for fish classification from composited underwater images
Huishan Qu, Gai‐Ge Wang, Li Yun, et al.
Information Sciences (2024) Vol. 679, pp. 121078-121078
Closed Access | Times Cited: 9
Automated fish counting system based on instance segmentation in aquaculture
Guangxu Wang, Jiaxuan Yu, Wenkai Xu, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125318-125318
Closed Access | Times Cited: 7
Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos
Mohammad Jahanbakht, Mostafa Rahimi Azghadi, Nathan J. Waltham
Ecological Informatics (2023) Vol. 78, pp. 102303-102303
Open Access | Times Cited: 13
A data-centric framework for combating domain shift in underwater object detection with image enhancement
Lukas Folkman, Kylie A. Pitt, Bela Stantić
Applied Intelligence (2025) Vol. 55, Iss. 4
Open Access
Optimizing remote underwater video sampling to quantify relative abundance, richness, and corallivory rates of reef fish
Tsai-Hsuan Tony Hsu, Sophie E. Gordon, Renata Ferrari, et al.
Coral Reefs (2025)
Open Access
Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning
Florian Baletaud, Sébastien Villon, Antoine Gilbert, et al.
Frontiers in Marine Science (2025) Vol. 12
Open Access
Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks
S. Kumaran, Lars Erik Solberg, David Izquierdo-Gómez, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Seafloor debris detection using underwater images and deep learning-driven image restoration: A case study from Koh Tao, Thailand
Fan Zhao, Benrong Huang, Jiaqi Wang, et al.
Marine Pollution Bulletin (2025) Vol. 214, pp. 117710-117710
Open Access
CNN-Based Optimization for Fish Species Classification: Tackling Environmental Variability, Class Imbalance, and Real-Time Constraints
Amirhosein Mohammadisabet, Raza Hasan, Vishal Dattana, et al.
Information (2025) Vol. 16, Iss. 2, pp. 154-154
Open Access
Water quality classification framework for IoT-enabled aquaculture ponds using deep learning based flexible temporal network model
Arepalli Peda Gopi, K. Jairam Naik
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
An Evaluation of Copyright Infringements Committed Through Generative Artificial Intelligence and Especially Deep Fakes
Barış GÖZÜBÜYÜK
Advances in public policy and administration (APPA) book series (2025), pp. 195-212
Closed Access
Employing an innovative underwater camera to improve electronic monitoring in the commercial Gulf of Mexico reef fish fishery
Carole L. Neidig, Max Lee, Genevieve Patrick, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0298588-e0298588
Open Access | Times Cited: 3
Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning
Ariane Marina de Albuquerque Teixeira, Leonardo Vidal Batista, Richarde Marques da Silva, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101205-101205
Closed Access | Times Cited: 3
Charting the aquaculture internet of things impact: Key applications, challenges, and future trend
Ahmad Fikri Abdullah, Hasfalina Che Man, Mohammed Abdulsalam, et al.
Aquaculture Reports (2024) Vol. 39, pp. 102358-102358
Closed Access | Times Cited: 3
Adaptive density guided network with CNN and Transformer for underwater fish counting
Shijian Zheng, Rujing Wang, Shitao Zheng, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 6, pp. 102088-102088
Open Access | Times Cited: 2
Improving CNN Fish Detection and Classification with Tracking
Boubker Zouin, Jihad Zahir, Florian Baletaud, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10122-10122
Open Access | Times Cited: 2
Robust Fish Recognition Using Foundation Models toward Automatic Fish Resource Management
Tatsuhito Hasegawa, Daichi Nakano
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 3, pp. 488-488
Open Access | Times Cited: 1
Semi-supervised learning advances species recognition for aquatic biodiversity monitoring
Dongliang Ma, Jine Wei, Likai Zhu, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 1
Revolutionizing Enterprise Network Management: The Role of Ai-Driven Solutions in Modern Computer Networking
Ayush Kumar Ojha
Journal of Electronics Computer Networking and Applied Mathematics (2024), Iss. 44, pp. 1-9
Closed Access | Times Cited: 1
Deep Learning Techniques for Enhanced Underwater Remote Sensing: Applications in Marine Biodiversity and Infrastructure Inspection
Ayush Kumar Ojha
Journal of Image Processing and Intelligent Remote Sensing (2024), Iss. 11, pp. 11-22
Closed Access | Times Cited: 1
A method for custom measurement of fish dimensions using the improved YOLOv5-keypoint framework with multi-attention mechanisms
Danying Cao, Cheng Guo, Mijuan Shi, et al.
Water Biology and Security (2024), pp. 100293-100293
Open Access | Times Cited: 1
A novel fish classification system using deep learning algorithms
Subramanya Bhat, Padmanabh Thakur, Ankit Bhatt
AIP conference proceedings (2024) Vol. 3232, pp. 050013-050013
Closed Access | Times Cited: 1
RUSNet: Robust fish segmentation in underwater videos based on adaptive selection of optical flow
Peng Zhang, Zongyi Yang, Yu Hong, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 1
Labeled images of emerged salmonids in a riverine environment
Sethu Mettukulam Jagadeesan, Jonathan Gregory, Jordan Leh, et al.
BMC Research Notes (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
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