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:

A review of supervised learning methods for classifying animal behavioural states from environmental features
Silas Bergen, Manuela Huso, Adam E. Duerr, et al.
Methods in Ecology and Evolution (2022) Vol. 14, Iss. 1, pp. 189-202
Open Access | Times Cited: 14

Showing 14 citing articles:

Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea
Carla Cherubini, Giulia Cipriano, Leonardo Saccotelli, et al.
Ecological Informatics (2025), pp. 103066-103066
Open Access

“A Data-driven prediction of residual carbon dioxide under different porous media structures”
Eric Richard Shanghvi, Qingbang Meng, Elieneza Nicodemus Abelly, et al.
Gas Science and Engineering (2025), pp. 205602-205602
Closed Access

Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
Pierrick BOUGAULT, Raphael Haddad, Liang Ma
Research Square (Research Square) (2025)
Closed Access

Algorithms going wild – A review of machine learning techniques for terrestrial ecology
Cristina Cipriano, Sergio Noce, Simone Mereu, et al.
Ecological Modelling (2025) Vol. 506, pp. 111164-111164
Open Access

Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
Pierrick BOUGAULT, Raphael Haddad, Liang Ma
Research Square (Research Square) (2025)
Closed Access

Updates to the wild bird abundance and movement models for the early warning system for avian influenza in the EU
Juan Gallego‐Zamorano, Jacob Davies, Roos Reinartz, et al.
EFSA Supporting Publications (2024) Vol. 21, Iss. 10
Open Access | Times Cited: 2

Evidence from interpretable machine learning to inform spatial management of Palau's tuna fisheries
Eric Gilman, Milani Chaloupka
Ecosphere (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 2

Machine Learning to predict cetacean behaviour using social and environmental features
Carla Cherubini, Leonardo Saccotelli, Rocco Caccioppoli, et al.
2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) (2023), pp. 289-293
Closed Access | Times Cited: 1

A machine learning approach to map the potential agroecological complexity in an indigenous community of Colombia
Cintya Katherine Ojeda Riaños, Carlos Alberto Torres, Juan Camilo Zapata Calero, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122655-122655
Closed Access

Using non-continuous accelerometry to identify cryptic nesting events of Galapagos giant tortoises
Edward F. Donovan, Stephen Blake, Sharon L. Deem, et al.
Animal Biotelemetry (2024) Vol. 12, Iss. 1
Open Access

Suitability of a commercial low-cost biologging system for monitoring movement, behaviour and heart rate of grazing dairy cows
Salvatore Raniolo, Andrea Ceppatelli, Marco Berton, et al.
Italian Journal of Animal Science (2024) Vol. 23, Iss. 1, pp. 1797-1811
Open Access

On the integration of large scale time seriesdistance matrices into deep visual analytic tools
Inmaculada Santamaria-Valenzuela, Víctor Rodríguez-Fernández, David Camacho
Research Square (Research Square) (2024)
Open Access

Exploring Multiple Classification Systems for Online Time Series Anomaly Detection
Inmaculada Santamaria-Valenzuela, Víctor Rodríguez-Fernández, David Camacho
(2023), pp. 1-6
Closed Access

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