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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:

A survey of fish behaviour quantification indexes and methods in aquaculture
Dong An, Jinze Huang, Yaoguang Wei
Reviews in Aquaculture (2021) Vol. 13, Iss. 4, pp. 2169-2189
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Role of artificial intelligence (AI) in fish growth and health status monitoring: a review on sustainable aquaculture
Arghya Mandal, Apurba Ratan Ghosh
Aquaculture International (2023) Vol. 32, Iss. 3, pp. 2791-2820
Closed Access | Times Cited: 42
Water Quality Impact on Fish Behavior: A Review From an Aquaculture Perspective
Kaisheng Zhang, Zhangying Ye, Ming Qi, et al.
Reviews in Aquaculture (2024) Vol. 17, Iss. 1
Closed Access | Times Cited: 21
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: 3
Multiview behavior and neurotransmitter analysis of zebrafish dyskinesia induced by 6PPD and its metabolites
Jiawen Ji, Jinze Huang, Niannian Cao, et al.
The Science of The Total Environment (2022) Vol. 838, pp. 156013-156013
Closed Access | Times Cited: 64
Uniformity and deformation: A benchmark for multi-fish real-time tracking in the farming
Jinze Huang, Xiaohan Yu, Dong An, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125653-125653
Closed Access | Times Cited: 10
Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages
Dimitra Georgopoulou, Charalabos Vouidaskis, Nikos Papandroulakis
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 9
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
Recent advances in acoustic technology for aquaculture: A review
Daoliang Li, Zhuangzhuang Du, Qi Wang, et al.
Reviews in Aquaculture (2023) Vol. 16, Iss. 1, pp. 357-381
Closed Access | Times Cited: 20
Farm‐scale models in fish aquaculture – An overview of methods and applications
Killian Chary, Daniele Brigolin, Myriam D. Callier
Reviews in Aquaculture (2022) Vol. 14, Iss. 4, pp. 2122-2157
Open Access | Times Cited: 27
Precision Aquaculture: A Way Forward for Sustainable Agriculture
Swapnil Ananda Narsale, Patekar Prakash, Hari Prasad Mohale, et al.
Journal of Experimental Agriculture International (2024) Vol. 46, Iss. 5, pp. 83-97
Open Access | Times Cited: 5
Benchmark dataset on feeding intensity of the pearl gentian grouper(Epinephelus fuscoguttatus♀×E. lanceolatus♂)
Haijing Qin, Yunchen Tian, Jianing Quan, et al.
Aquaculture Reports (2025) Vol. 40, pp. 102641-102641
Closed Access
Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios
Guoxu Zhang, Te‐Yu Liao, Yingyi Chen, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Quantitative evaluation of spatial biometric parameters affecting body shape variation among three freshwater fish species
Mohd Sadiq, Lubna Yasmeen, Insha Hassan, et al.
Zoologischer Anzeiger (2025)
Closed Access
SDYOLO-Tracker: An efficient multi-fish hypoxic behavior recognition and tracking method
Jiaxuan Yu, Guangxu Wang, Xin Li, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110079-110079
Closed Access
A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture
Jihao Wang, Xiaochan Wang, Yinyan Shi, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Feeding Behavior Quantification and Recognition for Intelligent Fish Farming Application:A Review
Y. L. Xiao, Liuyi Huang, Shubin Zhang, et al.
Applied Animal Behaviour Science (2025) Vol. 285, pp. 106588-106588
Closed Access
Group activity amount estimation for fish using multi-object tracking
Yiran Liu, Beibei Li, Si Liegang, et al.
Aquacultural Engineering (2025), pp. 102534-102534
Closed Access
Revising the Impact and Prospects of Activity and Ventilation Rate Bio-Loggers for Tracking Welfare and Fish-Environment Interactions in Salmonids and Mediterranean Farmed Fish
Josep À. Calduch-Giner, Paul G. Holhorea, Miguel A. Ferrer, et al.
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 16
A BlendMask-VoVNetV2 method for quantifying fish school feeding behavior in industrial aquaculture
Ling Yang, Yingyi Chen, Tao Shen, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108005-108005
Closed Access | Times Cited: 9
Recognizing fish behavior in aquaculture with graph convolutional network
Jinze Huang, Xiaoning Yu, Xueweijie Chen, et al.
Aquacultural Engineering (2022) Vol. 98, pp. 102246-102246
Closed Access | Times Cited: 15
Impact of feeding Artemia franciscana enriched with various oil resources on growth, blood biochemical and behavioral indices, and survival of Oreochromis niloticus
Emad Zidan, Amira A. Goma, Hossam G. Tohamy, et al.
Annals of Animal Science (2024) Vol. 24, Iss. 4, pp. 1251-1262
Open Access | Times Cited: 2
Assessment of sustainable baits for passive fishing gears through automatic fish behavior recognition
Alexa Sugpatan Abangan, Kilian Bürgi, Sonia Méhault, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Soundscape characteristics of RAS tanks holding Atlantic salmon (Salmo salar) during feeding and feed withdrawal
Gaute Alexander Nedberg Helberg, Marianna Anichini, Jelena Kolarevic, et al.
Aquaculture (2024) Vol. 593, pp. 741325-741325
Open Access | Times Cited: 2
A review of deep learning-based stereo vision techniques for phenotype feature and behavioral analysis of fish in aquaculture
Yaxuan Zhao, Hanxiang Qin, Ling Xu, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 2
Looking beyond the Shoal: Fish Welfare as an Individual Attribute
Lauri Torgerson-White, Walter Sánchez-Suárez
Animals (2022) Vol. 12, Iss. 19, pp. 2592-2592
Open Access | Times Cited: 12
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