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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:

Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems
Rakesh Ranjan, Kata Sharrer, Scott Tsukuda, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107644-107644
Open Access | Times Cited: 25

Showing 25 citing articles:

Machine Learning Applications in Agriculture: Current Trends, Challenges, and Future Perspectives
Sara Oleiro Araújo, Ricardo Silva Peres, José C. Ramalho, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 2976-2976
Open Access | Times Cited: 70
Agricultural object detection with You Only Look Once (YOLO) Algorithm: A bibliometric and systematic literature review
Chetan Badgujar, Alwin Poulose, Hao Gan
Computers and Electronics in Agriculture (2024) Vol. 223, pp. 109090-109090
Closed Access | Times Cited: 63
Machine Vision Applications for Welfare Monitoring in Aquaculture: Challenges and Opportunities
A Fitzgerald, Christos C. Ioannou, Sofía Consuegra, et al.
Aquaculture Fish and Fisheries (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 2
Reviews on the development of digital intelligent fisheries technology in aquaculture
P. Li, Haibin Han, Shengmao Zhang, et al.
Aquaculture International (2025) Vol. 33, Iss. 3
Closed Access | Times Cited: 2
Application of Deep Learning-Based Object Detection Techniques in Fish Aquaculture: A Review
Hanchi Liu, Xin Ma, Yining Yu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 4, pp. 867-867
Open Access | Times Cited: 37
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
Daniel Schwabe, Katinka Becker, Martin Seyferth, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 13
MortCam: An Artificial Intelligence-aided fish mortality detection and alert system for recirculating aquaculture
Rakesh Ranjan, Kata Sharrer, Scott Tsukuda, et al.
Aquacultural Engineering (2023) Vol. 102, pp. 102341-102341
Open Access | Times Cited: 22
Systems approaches for sustainable fisheries: A comprehensive review and future perspectives
Ruosi Zhang, Tao Chen, Yang Wang, et al.
Sustainable Production and Consumption (2023) Vol. 41, pp. 242-252
Open Access | Times Cited: 18
Transforming agriculture with Machine Learning, Deep Learning, and IoT: perspectives from Ethiopia—challenges and opportunities
Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie, et al.
Discover Agriculture (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 4
Swencoder: A Succinct Shockwave Diagram Encoding and Interpretable Deep Learning Model Design to Enhance Learning Efficiency and Assurance
Calton Pu, Lili Du
(2025)
Closed Access
Review of state-of-the-art improvements in recirculating aquaculture systems: Insights into design, operation, and statistical modeling approaches
Subha M. Roy, Hyun Soo Choi, Tae Ho Kim
Aquaculture (2025), pp. 742545-742545
Open Access
MSVnet: A multi-scale and multi-view discriminator for fish detection in unseen domain
Te‐Yu Liao, Yang Qu, Yushuang Chen, et al.
Aquaculture (2025), pp. 742680-742680
Closed Access
Intelligent identification of power grid parameters based on dynamic weighting
G.-L. Zou, Min Xia, Liudong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108822-108822
Closed Access | Times Cited: 3
Enhanced deep learning models for automatic fish species identification in underwater imagery
Dharmapuri Siri, Gopikrishna Vellaturi, Shaik Hussain Shaik Ibrahim, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35217-e35217
Open Access | Times Cited: 2
Decision Support System in Fisheries Industry: Current State and Future Agenda
Andreas Tri Panudju, Sapta Rahardja, Mala Nurilmala, et al.
International Journal on Advanced Science Engineering and Information Technology (2023) Vol. 13, Iss. 2, pp. 599-610
Open Access | Times Cited: 6
SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture
Yupeng Mei, Ni Yan, Hanxiang Qin, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108542-108542
Closed Access | Times Cited: 6
Computer-Simulated Virtual Image Datasets to Train Machine Learning Models for Non-Invasive Fish Detection in Recirculating Aquaculture
Sullivan R. Steele, Rakesh Ranjan, Kata Sharrer, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5816-5816
Open Access | Times Cited: 1
Ensemble Neural Network Based Fish Species Identification for Emerging Aquaculture Application
Siddika Sabahath Anjum, K M Shruthi, Naziya Farheen H S, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Identification of Fresh and Unfresh Fish Based on Eye Image Using The Self-Organizing Maps (SOM) Method
Edwhin Rantho Rafafi, Enny Iije Sela
International Journal of Social Service and Research (2023) Vol. 3, Iss. 11, pp. 2826-2833
Open Access | Times Cited: 1
Deep Learning and Sustainability in Agriculture: A Systematic Review
Advaitha Naidu Chintakunta, Sonika Koganti, Yudhisthir Nuthakki, et al.
International Journal of Computer Science and Mobile Computing (2023) Vol. 12, Iss. 8, pp. 150-164
Open Access | Times Cited: 1
Study on Detection of Farmed Fish for Fish Monitoring Using Remotely Operated Vehicle in High-Density Fish Cage Farms
Tatiana Keruzel, Jungho Kang, Kyung-Chang Lee, et al.
Journal of the Korean Society of Manufacturing Process Engineers (2024) Vol. 23, Iss. 5, pp. 47-53
Closed Access
Advancing Crayfish Disease Detection: A Comparative Study of Deep Learning and Canonical Machine Learning Techniques
Yasin Atilkan, Berk Kirik, Koray Açıcı, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6211-6211
Open Access
FilletCam AI: A handheld tool for precise fillet color profiling of Atlantic salmon and rainbow trout
Rakesh Ranjan, Harsh Shroff, Kata Sharrer, et al.
Journal of Agriculture and Food Research (2024) Vol. 18, pp. 101461-101461
Open Access
Evaluation of an Artificial Intelligence-Based Tool and a Universal Low-Cost Robotized Microscope for the Automated Diagnosis of Malaria
Carles Rubio Maturana, Allisson Dantas de Oliveira, Francesc Zarzuela, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 22, Iss. 1, pp. 47-47
Open Access
Efficient-YOLOv8: Multi-Scale ConvNet for Underwater Object Detection
Lin Xu, Hurriyatul Fitriyah, Craig A. Styan, et al.
(2023), pp. 119-128
Closed Access
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