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 1-25 of 50 citing articles:

Avoiding confusion: Modelling image identification surveys with classification errors
Michael A. Spence, Jon Barry, Thomas Bartos, et al.
Methods in Ecology and Evolution (2025)
Open Access

An integrative machine learning approach to understanding South Pacific Ocean albacore tuna habitat features
Lei Liu, Rong Wan, Feng Wu, et al.
ICES Journal of Marine Science (2025) Vol. 82, Iss. 1
Open Access

Quantifying the Relative Contributions of Forcings to the Variability of Estuarine Surface Suspended Sediments Using a Machine Learning Framework
Juliana Távora, Roy El Hourany, Elisa Helena Leão Fernandes, et al.
Continental Shelf Research (2025), pp. 105429-105429
Closed Access

Machine learning for ecological analysis
Zhengyang Yu, Chongfeng Bu, Yanjie Li
Chemical Engineering Journal (2025), pp. 160780-160780
Closed Access

Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery
Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 715-715
Open Access

Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network
Seth McCammon, Nathan Formel, Sierra Jarriel, et al.
The Journal of the Acoustical Society of America (2025) Vol. 157, Iss. 3, pp. 1665-1683
Closed Access

Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery
Nerea Goikoetxea, Izaro Goienetxea, José A. Fernandes, et al.
Ecological Informatics (2024) Vol. 81, pp. 102577-102577
Open Access | Times Cited: 4

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

On the use of hydrodynamic modelling and random forest classifiers for the prediction of hypoxia in coastal lagoons
Irene Simonetti, Claudio Lubello, Lorenzo Cappietti
The Science of The Total Environment (2024) Vol. 951, pp. 175424-175424
Open Access | Times Cited: 3

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: 3

Meanders on the Move: Can AI-Based Solutions Predict Where They Will Be Located?
Hossein Amini, Federico Monegaglia, Reza Shakeri, et al.
Water (2024) Vol. 16, Iss. 17, pp. 2460-2460
Open Access | Times Cited: 2

Deep Learning-Based Fishing Ground Prediction Using Asymmetric Spatiotemporal Scales: A Case Study of Ommastrephes bartramii
Mingyang Xie, Bin Liu, Xinjun Chen, et al.
Fishes (2024) Vol. 9, Iss. 2, pp. 64-64
Open Access | Times Cited: 2

Walleye (Sander vitreus, Mitchill 1818) age and sex classification using innovative supervised and unsupervised machine learning and soft computing methodologies
Despina Selina Spanou, Panagiota Petroudi, Elli Dimou, et al.
Fisheries Research (2024) Vol. 275, pp. 107031-107031
Closed Access | Times Cited: 2

Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings
Clea Parcerisas, Elena Schall, Kees te Velde, et al.
Frontiers in Remote Sensing (2024) Vol. 5
Open Access | Times Cited: 1

Advancing artificial intelligence in fisheries requires novel cross-sector collaborations
Kate Wing, Benjamin Woodward
ICES Journal of Marine Science (2024) Vol. 81, Iss. 10, pp. 1912-1919
Open Access | Times Cited: 1

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.
Deleted Journal (2024) Vol. 1, pp. 100014-100014
Open Access | Times Cited: 1

Enhanced Detection and Classification of Microplastics in Marine Environments Using Deep Learning
Pensiri Akkajit, Md Eshrat E. Alahi, Arsanchai Sukkuea
Regional Studies in Marine Science (2024), pp. 103880-103880
Closed Access | Times Cited: 1

From Data to Insight: Machine Learning Approaches for Fish Age Prediction in European Hake
Dimitris Klaoudatos, Maria Vlachou, Alexandros I. Theocharis
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 9, pp. 1466-1466
Open Access | Times Cited: 1

Machine learning reveals biological activities as the dominant factor in controlling deoxygenation in the South Yellow Sea
Qingyi Liu, Chunli Liu, Qicheng Meng, et al.
Continental Shelf Research (2024) Vol. 283, pp. 105348-105348
Closed Access | Times Cited: 1

The ZooScan and the ZooCAM zooplankton imaging systems are intercomparable: A benchmark on the Bay of Biscay zooplankton
Nina Grandrémy, Christine Dupuy, Pierre Petitgas, et al.
Limnology and Oceanography Methods (2023) Vol. 21, Iss. 11, pp. 718-733
Open Access | Times Cited: 3

An integrated coastal ecosystem monitoring strategy: Pilot case in Naf-Saint Martin Peninsula, Bangladesh
Subrata Sarker, Lilian Anne Krug, Kazi Mainul Islam, et al.
The Science of The Total Environment (2023) Vol. 913, pp. 169718-169718
Closed Access | Times Cited: 3

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