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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:

Pattern detection and prediction using deep learning for intelligent decision support to identify fish behaviour in aquaculture
S Shreesha, M. M. Manohara Pai, Radhika M. Pai, et al.
Ecological Informatics (2023) Vol. 78, pp. 102287-102287
Closed Access | Times Cited: 14

Showing 14 citing articles:

Does Artificial Intelligence (AI) enhance green economy efficiency? The role of green finance, trade openness, and R&D investment
Qiang Wang, Tingting Sun, Rongrong Li
Humanities and Social Sciences Communications (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 8
An ensembled method for predicting dissolved oxygen level in aquaculture environment
Dachun Feng, Qianyu Han, Longqin Xu, et al.
Ecological Informatics (2024) Vol. 80, pp. 102501-102501
Open Access | Times Cited: 12
A deep learning-based biomonitoring system for detecting water pollution using Caenorhabditis elegans swimming behaviors
Seung‐Ho Kang, In-Seon Jeong, Hyeong-Seok Lim
Ecological Informatics (2024) Vol. 80, pp. 102482-102482
Open Access | Times Cited: 7
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
Smart integrated aquaponics system: Hybrid solar-hydro energy with deep learning forecasting for optimized energy management in aquaculture and hydroponics
Tresna Dewi, Pola Risma, Yurni Oktarina, et al.
Energy Sustainable Development/Energy for sustainable development (2025) Vol. 85, pp. 101683-101683
Closed Access
EcoGuard: Advancing IoT-based Aquaculture with Machine Learning for Enhanced Productivity and Automation
Jarin Nooder Esty, Abu Salyh Muhammad Mussa, Md. Fazle Rabbi, et al.
Journal of ISMAC (2025) Vol. 7, Iss. 1, pp. 18-41
Closed Access
YOLOv8-TF: Transformer-Enhanced YOLOv8 for Underwater Fish Species Recognition with Class Imbalance Handling
Chiranjibi Shah, M M Nabi, Simegnew Yihunie Alaba, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1846-1846
Open Access
Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU
Arepalli Peda Gopi, K. Jairam Naik
Ecological Informatics (2023) Vol. 79, pp. 102405-102405
Open Access | Times Cited: 15
Hypoxia monitoring of fish in intensive aquaculture based on underwater multi-target tracking
Yuxiang Li, Hequn Tan, Yuxuan Deng, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110127-110127
Closed Access
Multiscale convolutional transformer for robust detection of aquaculture defects
Wilayat Khan, Taimur Hassan, Mobeen Ur Rehman, et al.
Expert Systems with Applications (2025), pp. 126820-126820
Closed Access
Fish Disease Detection in Aquaculture using Pseudo Hamiltonian Neural network Optimized with Philippine Eagle Optimization Algorithm
Mr. Prasanna kumar M, Saravana Kumar K, K. P., et al.
Knowledge-Based Systems (2025), pp. 113374-113374
Closed Access
Computer vision based approaches for fish monitoring systems: a comprehensive study
Said Al‐Abri, Sanaz Keshvari, Khalfan M. Al-Rashdi, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
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
Multifeature extraction based MobileViTv3 model for fish feeding behavior recognition from video streaming
Zheng Zhang, Menglu Chen, Qingsong Hu, et al.
Ecological Informatics (2024), pp. 102931-102931
Open Access | Times Cited: 1
Adaptive artificial multiple intelligence fusion system (A-AMIFS) for enhanced disease detection in Nile Tilapia
Achara Jutagate, Rapeepan Pitakaso, Surajet Khonjun, et al.
Aquaculture Reports (2024) Vol. 39, pp. 102418-102418
Open Access
Revolutionizing Climbing Perch Disease Management: AI-Driven Solutions for Sustainable Aquaculture
Kosit Sriputhorn, Rapeepan Pitakaso, Surasak Matitopanum, et al.
Smart Agricultural Technology (2024), pp. 100746-100746
Open Access
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