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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:

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: 50

Showing 26-50 of 50 citing articles:

Machine learning driven image segmentation and shape clustering of algal microscopic images obtained from various water types
Filippo Nelli, Zongyuan Ge, Linda L. Blackall, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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
Automated Species Classification and Counting by Deep-Sea Mobile Crawler Platforms Using Yolo
Luciano Ortenzi, Jacopo Aguzzi, Corrado Costa, et al.
(2024)
Closed Access
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
On the Use of Hydrodynamic Modelling and Random Forest Classifiers for the Prediction of Hypoxia in Coastal Lagoons
Irene Simonetti, Claudio Lubello, Lorenzo Cappietti
(2024)
Closed Access
Using Fishery-Related Data, Scientific Expertise and Machine Learning to Improve Marine Habitat Mapping in Northeastern Mediterranean Waters
Loukas Katikas, Sofia Reizopoulou, Paraskevi Drakopoulou, et al.
(2024)
Closed Access
Random Forest Classifier for Marine Biodiversity Analysis
Houria Braikia, Sana Ben Hamida, Marta Rukoz
(2024), pp. 1-8
Open Access
Random forest regression models in ecology: Accounting for messy biological data and producing predictions with uncertainty
Caitlin I. Allen Akselrud
Fisheries Research (2024) Vol. 280, pp. 107161-107161
Closed Access
Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea
Kilian Bürgi, Charles Bouveyron, Diane Lingrand, et al.
Ecological Informatics (2024) Vol. 85, pp. 102959-102959
Open Access
Enhancing Length at First Maturity Estimation Using Machine Learning for Fisheries Resource Management: A Case Study on Small Yellow Croaker (Larimichthys polyactis) in South Korea
Hee Joong Kang, Sang Chul Yoon
Fishes (2024) Vol. 9, Iss. 10, pp. 373-373
Open Access
An Experimental Methodology for Automated Detection of Surface Turbulence Features in Tidal Stream Environments
James Slingsby, Beth E. Scott, Louise Kregting, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6170-6170
Open Access
Using artificial intelligence algorithms in the investigation of mixed layer depth seasonal changes in the Barents Sea
В. А. Ившин
Trudy VNIRO (2024) Vol. 197, pp. 121-133
Open Access
Can automatic measuring replace humans when evaluating a shrimp fishery?
Bent Herrmann, Elling Ruud Øye, Jonatan Sjølund Dyrstad, et al.
Regional Studies in Marine Science (2024) Vol. 79, pp. 103852-103852
Open Access
Species assignment from seal diet samples using shape analyses in a machine learning framework
Monica Mion, Florian Berg, Francesco Saltalamacchia, et al.
ICES Journal of Marine Science (2024)
Open Access
An Easily Customizable Approach for Automated Species-Specific Detection of Anuran Calls Using the European Green Toad as an Example
Lukas Landler, Yurii V. Kornilev, Stephan Burgstaller, et al.
Information (2024) Vol. 15, Iss. 10, pp. 610-610
Open Access
Machine Learning Applications for Fisheries—At Scales from Genomics to Ecosystems
Bernhard Kühn, Arjay Cayetano, Jennifer I. Fincham, et al.
Reviews in Fisheries Science & Aquaculture (2024), pp. 1-24
Open Access
An interactive AI-driven platform for fish age reading
Arjay Cayetano, Christoph Stransky, Andreas Birk, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0313934-e0313934
Open Access
Comparing Pixel-and Object-Based Approaches for Classifying Benthic Habitats
H. Clifton Simmons, Oli Dalby, Daniel Ierodiaconou, et al.
Research Square (Research Square) (2024)
Open Access
Self-supervised feature learning for acoustic data analysis
Ahmet Pala, Anna Oleynik, Ketil Malde, et al.
Ecological Informatics (2024), pp. 102878-102878
Open Access
Characterization of Synanthropic Habitats on Shallow Seabeds Using Map Clustering Techniques: A Case Study in Taranto, Apulia, Italy
Carmine Massarelli, Claudia Campanale, Vito Felice Uricchio
Ecologies (2024) Vol. 5, Iss. 4, pp. 627-646
Open Access
Machine learning for modeling North Atlantic right whale presence to support offshore wind energy development in the U.S. Mid-Atlantic
Jiaxiang Ji, Jeeva Ramasamy, Laura Nazzaro, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Broadscale reconnaissance of coral reefs from citizen science and deep learning
Christopher L. Lawson, Katie Chartrand, Chris Roelfsema, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sustainable seafood: advances in traceability, assessment, monitoring and resource management
Ian G. Gleadall, Amos Barkai, Zdeněk Lajbner, et al.
African Journal of Marine Science (2024) Vol. 46, Iss. 4, pp. 239-245
Closed Access
Making ecosystem modelling operational - a novel distributed execution framework to systematically explore ecological responses to divergent climate trajectories
Jeroen Steenbeek, Pablo Ortega, Raffaele Bernardello, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 1
DeepLOKI- a deep learning based approach to identify zooplankton taxa on high-resolution images from the optical plankton recorder LOKI
Ellen Oldenburg, Raphael M. Kronberg, Barbara Niehoff, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access
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