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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:

Automatic underwater fish species classification with limited data using few-shot learning
Sébastien Villon, Corina Iovan, Morgan Mangeas, et al.
Ecological Informatics (2021) Vol. 63, pp. 101320-101320
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Ten deep learning techniques to address small data problems with remote sensing
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103569-103569
Open Access | Times Cited: 52
CATNet: Cascaded attention transformer network for marine species image classification
Weidong Zhang, Gongchao Chen, Peixian Zhuang, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124932-124932
Closed Access | Times Cited: 20
On the use of deep learning for fish species recognition and quantification on board fishing vessels
Juan Carlos Ovalle, Carlos Vilas, Luís T. Antelo
Marine Policy (2022) Vol. 139, pp. 105015-105015
Open Access | Times Cited: 38
Applications of deep learning in fish habitat monitoring: A tutorial and survey
Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121841-121841
Open Access | Times Cited: 33
Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity
Alexa Sugpatan Abangan, Dorothée Kopp, Robin Faillettaz
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 21
Estimating enhanced fish production on restored shellfish reefs using automated data collection from underwater videos
Rod M. Connolly, César Herrera, J. B. Rasmussen, et al.
Journal of Applied Ecology (2024) Vol. 61, Iss. 4, pp. 633-646
Open Access | Times Cited: 7
Fish Detection and Classification for Automatic Sorting System with an Optimized YOLO Algorithm
Ari Kuswantori, T. Suesut, Worapong Tangsrirat, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3812-3812
Open Access | Times Cited: 17
Evaluating the method reproducibility of deep learning models in biodiversity research
Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König‐Ries, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2618-e2618
Open Access
Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning
Florian Baletaud, Sébastien Villon, Antoine Gilbert, et al.
Frontiers in Marine Science (2025) Vol. 12
Open Access
Confronting Deep-Learning and Biodiversity Challenges for Automatic Video-Monitoring of Marine Ecosystems
Sébastien Villon, Corina Iovan, Morgan Mangeas, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 497-497
Open Access | Times Cited: 21
Ten deep learning techniques to address small data problems with remote sensing
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 11
Exploring coral reef communities in Puerto Rico using Bayesian networks
John F. Carriger, William S. Fisher
Ecological Informatics (2024) Vol. 82, pp. 102665-102665
Open Access | Times Cited: 3
Underwater swimming fish mass estimation based on binocular vision
Yinfeng Hao, Shengkui Guo, Xin-Hui Zhou, et al.
Aquaculture International (2024) Vol. 32, Iss. 6, pp. 7973-7995
Closed Access | Times Cited: 2
Demystifying image-based machine learning: a practical guide to automated analysis of field imagery using modern machine learning tools
Byron T. Belcher, Eliana H. Bower, Benjamin P. Burford, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 7
Automated identification of invasive rabbitfishes in underwater images from the Mediterranean Sea
Valentine Fleuré, Camille Magneville, David Mouillot, et al.
Aquatic Conservation Marine and Freshwater Ecosystems (2024) Vol. 34, Iss. 1
Open Access | Times Cited: 2
A Metric-Based Few-Shot Learning Method for Fish Species Identification with Limited Samples
Jiamin Lu, Song Zhang, Shili Zhao, et al.
Animals (2024) Vol. 14, Iss. 5, pp. 755-755
Open Access | Times Cited: 2
AquaVision: AI-Powered Marine Species Identification
Benjamin Mifsud Scicluna, Adam Gauci, Alan Deidun
Information (2024) Vol. 15, Iss. 8, pp. 437-437
Open Access | Times Cited: 2
Development of object detection and classification with YOLOv4 for similar and structural deformed fish
Ari Kuswantori, T. Suesut, Worapong Tangsrirat, et al.
EUREKA Physics and Engineering (2022), Iss. 2, pp. 154-165
Open Access | Times Cited: 9
Fish surveys on the move: Adapting automated fish detection and classification frameworks for videos on a remotely operated vehicle in shallow marine waters
Rod M. Connolly, Kristin I. Jinks, César Herrera, et al.
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 6
FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification
M. Bhanumathi, B. Arthi
Knowledge and Information Systems (2023) Vol. 66, Iss. 3, pp. 1997-2038
Closed Access | Times Cited: 3
T-KD: two-tier knowledge distillation for a lightweight underwater fish species classification model
Beibei Li, Yiran Liu, Qingling Duan
Aquaculture International (2023) Vol. 32, Iss. 3, pp. 3107-3128
Closed Access | Times Cited: 2
Hierarchy‐guided neural network for species classification
Mohannad Elhamod, Kelly Diamond, A. Murat Maga, et al.
Methods in Ecology and Evolution (2021) Vol. 13, Iss. 3, pp. 642-652
Open Access | Times Cited: 6
Multi-species Fish Identification using Hybrid DeepCNN with Refined Squeeze and Excitation Architecture
Jansi Sella Veluswami, Nivetha Panneerselvam
AQUATIC SCIENCES AND ENGINEERING (2022)
Open Access | Times Cited: 4
Future Trends and Short-Review on Fish Species Classification Models Based on Deep Learning Approaches
M. Bhanumathi, B. Arthi
2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) (2022) Vol. 61, pp. 01-05
Closed Access | Times Cited: 4
Captive trials of a potential predator exclusion device for kea (Nestor notabilis) burrows and analysis of burrow monitoring footage.
Matthew Ireland
(2024)
Open Access
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