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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:

Design of an Intelligent Variable-Flow Recirculating Aquaculture System Based on Machine Learning Methods
Fudi Chen, Yishuai Du, Tianlong Qiu, et al.
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6546-6546
Open Access | Times Cited: 17

Showing 17 citing articles:

The role of smart optical biosensors and devices on predictive analytics for the future of aquaculture systems
Maria Simone Soares, Ragini Singh, Santosh Kumar, et al.
Optics & Laser Technology (2024) Vol. 177, pp. 111049-111049
Open Access | Times Cited: 9
A backwater technology for enhancing pollutants discharge from aquaculture tanks in a Litopenaeus vannamei recirculating aquaculture system: Performance and control models
Jianping Xu, Yishuai Du, Jiawei Zhang, et al.
Aquaculture Reports (2025) Vol. 40, pp. 102642-102642
Closed Access | Times Cited: 1
AI-driven aquaculture: A review of technological innovations and their sustainable impacts
Hang Yang, Feng Qi, Shibin Xia, et al.
Artificial Intelligence in Agriculture (2025)
Open Access | Times Cited: 1
Comparison of Water Quality Prediction for Red Tilapia Aquaculture in an Outdoor Recirculation System Using Deep Learning and a Hybrid Model
Roongparit Jongjaraunsuk, Wara Taparhudee, Pimlapat Suwannasing
Water (2024) Vol. 16, Iss. 6, pp. 907-907
Open Access | Times Cited: 6
Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
Majid Bagheri, Nakisa Farshforoush, Karim Bagheri, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 10-22
Open Access | Times Cited: 15
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
Artificial intelligence in aquaculture: basis, applications, and future perspectives
Wilfredo Vásquez-Quispesivana, Marianela Inga, Indira Betalleluz‐Pallardel
Scientia Agropecuaria (2022) Vol. 13, Iss. 1, pp. 79-96
Open Access | Times Cited: 11
An automatic body length estimating method for Micropterus salmoides using local water surface stereo vision
Yuxuan Deng, Hequn Tan, Dianzhuo Zhou, et al.
Biosystems Engineering (2023) Vol. 235, pp. 166-179
Closed Access | Times Cited: 6
Retrofitting Sea Cucumber Nursery Tanks to Recirculating Aquaculture Systems for Highly Intensive Litopenaeus vannamei Aquaculture
Yishuai Du, Jianping Xu, Li Zhou, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9478-9478
Open Access | Times Cited: 6
A Review of Factors Affecting Farmed Atlantic Salmon (Salmo salar) Welfare in Australia and Beyond
Craig A. Layman, Julianna Kadar, Brianne Lyall, et al.
(2024)
Open Access
Modeling and control of dissolved oxygen in recirculating aquaculture systems: A circadian rhythm analysis approach and GSMPC controller
Fu Chai, Quanwu Ge, Yihan Yin, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109515-109515
Closed Access
Predictive Model Proposal in Telemetry Using Machine Learning Techniques to Anticipate Water Degradation in Aquaculture
Néstor Rafael Salinas Buestán, Francisco Alexander Zambrano-Varela, Ángel Iván Torres Quijije, et al.
Communications in computer and information science (2024), pp. 193-207
Closed Access
Data Augmentation Technique Based on Improved Time-Series Generative Adversarial Networks for Power Load Forecasting in Recirculating Aquaculture Systems
Jun Li, Xingzhao Zhang, Qingsong Hu, et al.
Sustainability (2024) Vol. 16, Iss. 23, pp. 10721-10721
Open Access
The Development of Intelligent VR Systems Based on Deep Learning
Yaohui An, Xinkai Wang, Wei Wu, et al.
Smart innovation, systems and technologies (2024), pp. 183-192
Closed Access
Improving denitrification estimation by joint inclusion of suspended particles and chlorophyll a in aquaculture ponds
Li Zhang, Xuemei Zhao, Xing Yan, et al.
Journal of Environmental Management (2024) Vol. 365, pp. 121681-121681
Closed Access
Optimization of water reuse and modelling by saline composition with nanoparticles based on machine learning architectures
Koppula Srinivas Rao, Vineet Tirth, Hamad Almujibah, et al.
Water Science & Technology (2023) Vol. 87, Iss. 11, pp. 2793-2805
Open Access | Times Cited: 1
Policy issues and options in aquatic food systems: Review of frameworks, tools, and studies
Catherine Ragasa, Sarah Alobo Loison
(2022)
Closed Access | Times Cited: 1
Special Issue on the Engineering of Smart Agriculture
Paweł Kiełbasa, Tadeusz Juliszewski, S. Kurpaska
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8523-8523
Open Access
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