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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:

Automatic detection of fish and tracking of movement for ecology
Sebastian Lopez‐Marcano, Eric L. Jinks, Christina A. Buelow, et al.
Ecology and Evolution (2021) Vol. 11, Iss. 12, pp. 8254-8263
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Towards the fully automated monitoring of ecological communities
Marc Besson, Jamie Alison, Kim Bjerge, et al.
Ecology Letters (2022) Vol. 25, Iss. 12, pp. 2753-2775
Open Access | Times Cited: 157
A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management
Naomi A. Ubina, Shyi‐Chyi Cheng
Drones (2022) Vol. 6, Iss. 1, pp. 12-12
Open Access | Times Cited: 94
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
Deep learning for visual recognition and detection of aquatic animals: A review
Juan Li, Wenkai Xu, Limiao Deng, et al.
Reviews in Aquaculture (2022) Vol. 15, Iss. 2, pp. 409-433
Closed Access | Times Cited: 70
Intelligent fish feeding based on machine vision: A review
Lu Zhang, Bin Li, Xiaobing Sun, et al.
Biosystems Engineering (2023) Vol. 231, pp. 133-164
Closed Access | Times Cited: 39
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
Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity
Alexa Sugpatan Abangan, Dorothée Kopp, Robin Faillettaz
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 24
Estimating enhanced fish production on restored shellfish reefs using automated data collection from underwater videos
Rod M. Connolly, César Herrera, J. B. Rasmussen, et al.
Journal of Applied Ecology (2024) Vol. 61, Iss. 4, pp. 633-646
Open Access | Times Cited: 10
Adaptive deep learning framework for robust unsupervised underwater image enhancement
Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, et al.
Expert Systems with Applications (2025), pp. 126314-126314
Closed Access | Times Cited: 1
An Outlook for Deep Learning in Ecosystem Science
George L. W. Perry, Rupert Seidl, André M. Bellvé, et al.
Ecosystems (2022) Vol. 25, Iss. 8, pp. 1700-1718
Open Access | Times Cited: 37
Recent advances of target tracking applications in aquaculture with emphasis on fish
Yupeng Mei, Boyang Sun, Daoliang Li, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107335-107335
Closed Access | Times Cited: 33
Accelerating Species Recognition and Labelling of Fish From Underwater Video With Machine-Assisted Deep Learning
Daniel Marrable, Kathryn Barker, Sawitchaya Tippaya, et al.
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 29
Effects of aquaponic system on fish locomotion by image-based YOLO v4 deep learning algorithm
Chang Liu, Bing Gu, Chuanyu Sun, et al.
Computers and Electronics in Agriculture (2022) Vol. 194, pp. 106785-106785
Closed Access | Times Cited: 25
Advanced intelligent monitoring technologies for animals: A survey
Pengfei Xu, Yuanyuan Zhang, Minghao Ji, et al.
Neurocomputing (2024) Vol. 585, pp. 127640-127640
Closed Access | Times Cited: 5
Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement
Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, et al.
(2023)
Open Access | Times Cited: 12
A Feature-Enhanced and Adaptive Routing Framework for Fish School Detection on AUVs for Degraded Underwater Imaging Environments
Yu Jiang, Yuehang Wang, Yongji Zhang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18335-18350
Closed Access | Times Cited: 4
Automated species classification and counting by deep-sea mobile crawler platforms using YOLO
Luciano Ortenzi, Jacopo Aguzzi, Corrado Costa, et al.
Ecological Informatics (2024) Vol. 82, pp. 102788-102788
Open Access | Times Cited: 4
Underwater object detection based on bi-dimensional empirical mode decomposition and Gaussian Mixture Model approach
Ajisha Mathias, Samiappan Dhanalakshmi, Raj Kumar, et al.
Ecological Informatics (2021) Vol. 66, pp. 101469-101469
Closed Access | Times Cited: 27
Machine learning applied to big data from marine cabled observatories: A case study of sablefish monitoring in the NE Pacific
Federico Bonofiglio, Fabio C. De Léo, Connor Yee, et al.
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 19
Expanding network ecology in freshwater ecosystems
Fredric M. Windsor
Journal of Animal Ecology (2023) Vol. 92, Iss. 8, pp. 1575-1588
Open Access | Times Cited: 10
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
Fishing for data: AI approaches to advance recreational fisheries monitoring
L. R. I. Baker, Nathan A. Knott, Robert Gorkin, et al.
New Zealand Journal of Marine and Freshwater Research (2025), pp. 1-18
Closed Access
Collective behavior and upstream tactics of schooling fish in an obstacle environment
Qingrong Xie, Li Wang, Shengfa Yang, et al.
Environmental Biology of Fishes (2025)
Closed Access
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