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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:

Automated classification of fauna in seabed photographs: The impact of training and validation dataset size, with considerations for the class imbalance
Jennifer M. Durden, Brett Hosking, Brian J. Bett, et al.
Progress In Oceanography (2021) Vol. 196, pp. 102612-102612
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Machine learning in marine ecology: an overview of techniques and applications
Peter Rubbens, Stephanie Brodie, Tristan Cordier, et al.
ICES Journal of Marine Science (2023) Vol. 80, Iss. 7, pp. 1829-1853
Open Access | Times Cited: 54
Surveying the deep: A review of computer vision in the benthos
Cameron Trotter, Huw J. Griffiths, Rowan J. Whittle
Ecological Informatics (2025), pp. 102989-102989
Open Access | Times Cited: 2
A review of machine learning techniques for identifying weeds in corn
Akhil Venkataraju, Dharanidharan Arumugam, Calvin Stepan, et al.
Smart Agricultural Technology (2022) Vol. 3, pp. 100102-100102
Open Access | Times Cited: 37
Improving the classification accuracy of fishes and invertebrates using residual convolutional neural networks
Zhiyu Zhou, Yang Xiang, Haodong Ji, et al.
ICES Journal of Marine Science (2023) Vol. 80, Iss. 5, pp. 1256-1266
Open Access | Times Cited: 22
Underwater Image Classification Based on EfficientnetB0 and Two-Hidden-Layer Random Vector Functional Link
Zhiyu Zhou, Mingxuan Liu, Haodong Ji, et al.
Journal of Ocean University of China (2024) Vol. 23, Iss. 2, pp. 392-404
Closed Access | Times Cited: 5
Deep learning–assisted biodiversity assessment in deep-sea benthic megafauna communities: a case study in the context of polymetallic nodule mining
Daphné Cuvelier, Martin Zurowietz, Tim W. Nattkemper
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 5
Bringing seascape ecology to the deep seabed: A review and framework for its application
Denise Swanborn, Veerle A.I. Huvenne, Simon J. Pittman, et al.
Limnology and Oceanography (2021) Vol. 67, Iss. 1, pp. 66-88
Open Access | Times Cited: 31
Performance of predictive supervised classification models of trace elements in magnetite for mineral exploration
Émilie Bédard, Victor De Bronac de Vazelhes, Georges Beaudoin
Journal of Geochemical Exploration (2022) Vol. 236, pp. 106959-106959
Closed Access | Times Cited: 20
New interactive machine learning tool for marine image analysis
H. Poppy Clark, Abraham George Smith, Daniel McKay Fletcher, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 4
Automated species classification and counting by deep-sea mobile crawler platforms using YOLO
Luciano Ortenzi, Jacopo Aguzzi, Corrado Costa, et al.
Ecological Informatics (2024) Vol. 82, pp. 102788-102788
Open Access | Times Cited: 4
Fast and accurate mapping of fine scale abundance of a VME in the deep sea with computer vision
Nils Piechaud, Kerry L. Howell
Ecological Informatics (2022) Vol. 71, pp. 101786-101786
Open Access | Times Cited: 19
Deep sea spy: An online citizen science annotation platform for science and ocean literacy
Marjolaine Matabos, Pierre Cottais, Riwan Leroux, et al.
Ecological Informatics (2025), pp. 103065-103065
Open Access
Practical application of artificial intelligence for ecological image analysis: Trialling different levels of taxonomic classification to promote convolutional neural network performance
Amelia E.H. Bridges, Eleanor R. Cross, Kyran P. Graves, et al.
Ecological Informatics (2025), pp. 103146-103146
Open Access
A deep learning perspective on electro-hydrodynamic micro-droplet interface deformation characteristics
Guanqiu Hao, En-Hui Li, Jiaxin Li, et al.
Chemical Engineering Science (2023) Vol. 276, pp. 118772-118772
Closed Access | Times Cited: 9
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: 8
Convolutional neural networks for hydrothermal vents substratum classification: An introspective study
Pedro Juan Soto Vega, Panagiotis Papadakis, Marjolaine Matabos, et al.
Ecological Informatics (2024) Vol. 80, pp. 102535-102535
Open Access | Times Cited: 2
High-resolution 3D mapping of cold-water coral reefs using machine learning
Larissa Macêdo Cruz de Oliveira, Aaron Lim, Luís Américo Conti, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 7
EchoAI: A deep-learning based model for classification of echinoderms in global oceans
Zhinuo Zhou, Ge‐Yi Fu, Yi Fang, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 4
The North-east Atlantic Margin: A Review of the Geology, Geography, Oceanography, and Vulnerable Megabenthic Ecosystems of the Continental Slope of Ireland and the United Kingdom
Declan Morrissey, Aaron Lim, Kerry L. Howell, et al.
CRC Press eBooks (2023), pp. 219-291
Open Access | Times Cited: 4
Machine learning for non-experts: A more accessible and simpler approach to automatic benthic habitat classification
Chloe A. Game, Michael B. Thompson, Graham D. Finlayson
Ecological Informatics (2024) Vol. 81, pp. 102619-102619
Open Access | Times Cited: 1
Comparison of Extremely Randomized Survival Trees and Random Survival Forests: A Simulation Study
Mohamad Solehudin Zaenal, Anwar Fitrianto, Hari Wijayanto
Scientific Journal of Informatics (2024) Vol. 11, Iss. 3, pp. 635-644
Open Access | Times Cited: 1
Defining the target population to make marine image-based biological data FAIR
Jennifer M. Durden, Timm Schoening, Emma J. Curtis, et al.
Ecological Informatics (2024) Vol. 80, pp. 102526-102526
Open Access | Times Cited: 1
Classification of Batik Authenticity Using Convolutional Neural Network Algorithm with Transfer Learning Method
Farrel Athaillah Putra, Dwi Anggun Cahyati Jamil, Briliantino Abhista Prabandanu, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 8
Integrating ocean observations across body‐size classes to deliver benthic invertebrate abundance and distribution information
Henry A. Ruhl, Brian J. Bett, Jeroen Ingels, et al.
Limnology and Oceanography Letters (2023) Vol. 8, Iss. 5, pp. 692-706
Open Access | Times Cited: 3
A deep learning algorithm with smart-sized training data for transient thermal performance prediction
Zhe Wu, Xia Chen, Yufeng Mao, et al.
Case Studies in Thermal Engineering (2022) Vol. 39, pp. 102420-102420
Open Access | Times Cited: 5
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