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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:

Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos
Mohammad Jahanbakht, Mostafa Rahimi Azghadi, Nathan J. Waltham
Ecological Informatics (2023) Vol. 78, pp. 102303-102303
Open Access | Times Cited: 13

Showing 13 citing articles:

MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility
Ahsan Baidar Bakht, Zikai Jia, Muhayy Ud Din, et al.
Ecological Informatics (2024) Vol. 81, pp. 102631-102631
Open Access | Times Cited: 4
Multi-species identification and number counting of fish passing through fishway at hydropower stations with LigTraNet
Jianyuan Li, Chunna Liu, Luhai Wang, et al.
Ecological Informatics (2024) Vol. 82, pp. 102704-102704
Open Access | Times Cited: 4
DeepFins: Capturing dynamics in underwater videos for fish detection
Ahsan Jalal, Ahmad Salman, Ajmal Mian, et al.
Ecological Informatics (2025), pp. 103013-103013
Open Access
Neural Network for Underwater Fish Image Segmentation Using an Enhanced Feature Pyramid Convolutional Architecture
Guang Yang, Junyi Yang, Wenyao Fan, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 238-238
Open Access
Optimizing feature map matching for marine benthic organism detection
Xinzhi Li, Yong Liu, Peng Yan
The Visual Computer (2025)
Closed Access
How to track and segment fish without human annotations: a self-supervised deep learning approach
Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 1
Open Access | Times Cited: 2
Semi-supervised learning advances species recognition for aquatic biodiversity monitoring
Dongliang Ma, Jine Wei, Likai Zhu, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access
Inconsistency-based active learning with adaptive pseudo-labeling for fish species identification
M M Nabi, Chiranjibi Shah, Simegnew Yihunie Alaba, et al.
(2024)
Closed Access
Novel use of deep neural networks on photographic identification of epaulette sharks (Hemiscyllium ocellatum) across life stages
M. Lonati, Mohammad Jahanbakht, Danielle Atkins, et al.
Journal of Fish Biology (2024)
Open Access
Marine Resources: Identification, Restoring, and Monitoring of Fisheries Food Resources Using Deep Learning and Image Processing
N. Nasurudeen Ahamed, Amreen Ayesha
(2024), pp. 101-121
Closed Access
Fisheries Management with Deep Learning-Based Fish Species Detection: A Sustainable Approach
Nemi Rishi, Akhil Kumar, Richa Golash
Lecture notes in networks and systems (2024), pp. 359-369
Closed Access
Hierarchical deep learning framework for automated marine vegetation and fauna analysis using ROV video data
Bjørn Christian Weinbach, Rajendra Akerkar, Marianne Nilsen, et al.
Ecological Informatics (2024), pp. 102966-102966
Open Access
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
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