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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:

Fish growth trajectory tracking using Q-learning in precision aquaculture
Abderrazak Chahid, Ibrahima N’Doye, John E. Majoris, et al.
Aquaculture (2021) Vol. 550, pp. 737838-737838
Open Access | Times Cited: 21

Showing 21 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: 43
Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects
Martin Føre, Morten Omholt Alver, Jo Arve Alfredsen, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108676-108676
Open Access | Times Cited: 16
Investigation of influential parameters in rainbow trout aquaculture based on robust mass production planning
Zahra Sadaghiani Farimani, Hossein Karimi, Mohsen Ziaee
Aquaculture International (2025) Vol. 33, Iss. 2
Closed Access
FishMet: A Digital Twin Framework for Appetite, Feeding Decisions and Growth in Salmonid Fish
Sergey Budaev, Giovanni Marco Cusimano, Ivar Rønnestad
Aquaculture Fish and Fisheries (2025) Vol. 5, Iss. 2
Open Access
Digital Twin Architecture Evaluation for Intelligent Fish Farm Management Using Modified Analytic Hierarchy Process
Hsun-Yu Lan, Naomi A. Ubina, Shyi‐Chyi Cheng, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 141-141
Open Access | Times Cited: 18
Intelligent detection and behavior tracking under ammonia nitrogen stress
Juan Li, Weimei Chen, Zhu Yihao, et al.
Neurocomputing (2023) Vol. 559, pp. 126809-126809
Closed Access | Times Cited: 7
A review of dynamic optimization in aquaculture production economics
Roger Domínguez‐May, Juan M. Hernández, Iván Velázquez‐Abunader
Reviews in Aquaculture (2024) Vol. 16, Iss. 4, pp. 1696-1717
Closed Access | Times Cited: 2
Optimization of Feed Ration Size in Aquatic System According to the Optimal Control Approach: Implications of Using the von Bertalanffy Growth Model
Roger Domínguez‐May, Gaspar Román Poot‐López, Juan M. Hernández, et al.
Aquaculture Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
Co-evolution of synchronization and cooperation with multi-agent Q-learning
Peican Zhu, Zhaoheng Cao, Chen Liu, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 3
Closed Access | Times Cited: 6
AgTech: A Survey on Digital Twins Based Aquaculture Systems
Ngoc-Bao-Van Le, Hanchul Woo, Daesung Lee, et al.
IEEE Access (2024) Vol. 12, pp. 125751-125767
Open Access | Times Cited: 2
Overview of aquaculture Artificial Intelligence (AAI) applications: enhance sustainability and productivity, reduce labor costs, and increase the quality of aquatic products
Sherine Ragab, Seyed Hossein Hoseinifar, Hien Van Doan, et al.
Annals of Animal Science (2024)
Open Access | Times Cited: 2
Fish weight prediction using empirical and data-driven models in aquaculture systems
Xiao Chen, Ibrahima N’Doye, Fahad Aljehani, et al.
2021 IEEE Conference on Control Technology and Applications (CCTA) (2024) Vol. 17, pp. 369-374
Closed Access | Times Cited: 2
Feeding control and water quality monitoring on bioenergetic fish growth modeling: Opportunities and challenges
Fahad Aljehani, Ibrahima N’Doye, Taous‐Meriem Laleg‐Kirati
Aquacultural Engineering (2024), pp. 102511-102511
Closed Access | Times Cited: 2
Model-based versus model-free feeding control and water-quality monitoring for fish-growth tracking in aquaculture systems
Fahad Aljehani, Ibrahima N’Doye, Taous‐Meriem Laleg‐Kirati
IFAC Journal of Systems and Control (2023) Vol. 26, pp. 100226-100226
Open Access | Times Cited: 4
Modeling Nile Tilapia Heterogeneous Growth under Different Stocking Densities during Pre-Grow-Out Stage
Víctor Hugo Fuentes-Andraca, Marcelo Araneda‐Padilla, Roger Domínguez‐May, et al.
Aquaculture Research (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 4
An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture
Aristeidis Karras, Christos Karras, Spyros Sioutas, et al.
Information (2023) Vol. 14, Iss. 11, pp. 583-583
Open Access | Times Cited: 4
Fishmet: A Digital Twin Framework for Appetite, Feeding Decisions and Growth in Salmonid Fish
Sergey Budaev, Giovanni Marco Cusimano, Ivar Rønnestad
(2024)
Closed Access | Times Cited: 1
A bioenergetics approach to modelling tolerance limits under acute thermal stress in farmed finfish
Orestis Stavrakidis-Zachou, Nikos Papandroulakis, Konstadia Lika
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 3
Optimal Aquaculture Planning While Accounting for the Size Spectrum
Hidekazu Yoshioka
Operations Research Forum (2023) Vol. 4, Iss. 3
Closed Access | Times Cited: 3
Avoiding excess computation in asynchronous evolutionary algorithms
Eric O. Scott, Mark Coletti, Catherine D. Schuman, et al.
Expert Systems (2022) Vol. 40, Iss. 5
Open Access | Times Cited: 3
Reinforcement Learning Based Production Planning in the Aquaculture Industry
Manuel Luna, Olaya Pérez-Mon, Rafael Rosillo, et al.
(2023), pp. 434-438
Closed Access
Training reinforcement learning models via an adversarial evolutionary algorithm
Mark Coletti, Chathika Gunaratne, Catherine D. Schuman, et al.
(2022), pp. 1-6
Open Access
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