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:
Shrimpseed_Net: Counting of Shrimp Seed Using Deep Learning on Smartphones for Aquaculture
Dan Liu, Bingqi Xu, Yuan Cheng, et al.
IEEE Access (2023) Vol. 11, pp. 85441-85450
Open Access | Times Cited: 7
Dan Liu, Bingqi Xu, Yuan Cheng, et al.
IEEE Access (2023) Vol. 11, pp. 85441-85450
Open Access | Times Cited: 7
Showing 7 citing articles:
Artificial Intelligence of Things (AIoT) Advances in Aquaculture: A Review
Yo‐Ping Huang, Simon Peter Khabusi
Processes (2025) Vol. 13, Iss. 1, pp. 73-73
Open Access | Times Cited: 1
Yo‐Ping Huang, Simon Peter Khabusi
Processes (2025) Vol. 13, Iss. 1, pp. 73-73
Open Access | Times Cited: 1
Artificial intelligence methods used in various aquaculture applications: A systematic literature review
Thurein Aung, Rafiza Abdul Razak, Adibi M. Nor
Journal of the World Aquaculture Society (2024)
Open Access | Times Cited: 4
Thurein Aung, Rafiza Abdul Razak, Adibi M. Nor
Journal of the World Aquaculture Society (2024)
Open Access | Times Cited: 4
Shrimp larvae detection and counting in aquaculture using multiscale feature fusion networks
Thai-Ha Dang, Minh Dang, Thang Viet Tran
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 109850-109850
Closed Access
Thai-Ha Dang, Minh Dang, Thang Viet Tran
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 109850-109850
Closed Access
Automatic Shrimp Fry Counting Method Using Multi-Scale Attention Fusion
Xiaohong Peng, Tianyu Zhou, Ying Zhang, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2916-2916
Open Access | Times Cited: 1
Xiaohong Peng, Tianyu Zhou, Ying Zhang, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2916-2916
Open Access | Times Cited: 1
A Low-Cost Computer Vision Approach for Counting Juvenile Shrimp Using OpenCV and Smartphone
Huynh Viet Hung, Le Trong Nguyen, Ho Phuoc Nguyen, et al.
Lecture notes in networks and systems (2024), pp. 413-423
Closed Access
Huynh Viet Hung, Le Trong Nguyen, Ho Phuoc Nguyen, et al.
Lecture notes in networks and systems (2024), pp. 413-423
Closed Access
Shrimp Larvae Counting Based on Improved YOLOv5 Model with Regional Segmentation
Hong-chao Duan, Jun Wang, Yuan Zhang, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6328-6328
Open Access
Hong-chao Duan, Jun Wang, Yuan Zhang, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6328-6328
Open Access
A Comprehensive Design of Hybrid R(2+1)D-CNN and Dense Network with Multi-Modal Sensor for Fish Appetite Detection
Infall Syafalni, Agape D'sky, Nana Sutisna, et al.
IEEE Access (2024) Vol. 12, pp. 159719-159737
Open Access
Infall Syafalni, Agape D'sky, Nana Sutisna, et al.
IEEE Access (2024) Vol. 12, pp. 159719-159737
Open Access
