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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:

Development and application of a machine learning algorithm for classification of elasmobranch behaviour from accelerometry data
Lauran R. Brewster, Jonathan J. Dale, T. L. Guttridge, et al.
Marine Biology (2018) Vol. 165, Iss. 4
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Machine learning for inferring animal behavior from location and movement data
Guiming Wang
Ecological Informatics (2018) Vol. 49, pp. 69-76
Open Access | Times Cited: 124
Hybrid Physical Education Teaching and Curriculum Design Based on a Voice Interactive Artificial Intelligence Educational Robot
Dapeng Yang, Eung-Soo Oh, Yingchun Wang
Sustainability (2020) Vol. 12, Iss. 19, pp. 8000-8000
Open Access | Times Cited: 76
Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19
Navchetan Awasthi, Aveen Dayal, Linga Reddy Cenkeramaddi, et al.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2021) Vol. 68, Iss. 6, pp. 2023-2037
Open Access | Times Cited: 69
Defining an epidemiological landscape that connects movement ecology to pathogen transmission and pace‐of‐life
Kezia R. Manlove, M. Wilber, Lauren A. White, et al.
Ecology Letters (2022) Vol. 25, Iss. 8, pp. 1760-1782
Closed Access | Times Cited: 42
Activity seascapes highlight central place foraging strategies in marine predators that never stop swimming
Yannis P. Papastamatiou, Yuuki Watanabe, Urška Demšar, et al.
Movement Ecology (2018) Vol. 6, Iss. 1
Open Access | Times Cited: 75
Biologging Tags Reveal Links Between Fine-Scale Horizontal and Vertical Movement Behaviors in Tiger Sharks (Galeocerdo cuvier)
Samantha Andrzejaczek, Adrian C. Gleiss, Karissa O. Lear, et al.
Frontiers in Marine Science (2019) Vol. 6
Open Access | Times Cited: 55
Early Life Experience Shapes Male Behavior and Social Networks in Drosophila
Assa Bentzur, Shir Ben-Shaanan, Jennifer I. C. Benichou, et al.
Current Biology (2020) Vol. 31, Iss. 3, pp. 486-501.e3
Open Access | Times Cited: 51
Teaching Evaluation System by use of Machine Learning and Artificial Intelligence Methods
Jingjing Hu
International Journal of Emerging Technologies in Learning (iJET) (2021) Vol. 16, Iss. 05, pp. 87-87
Open Access | Times Cited: 49
Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images
Daniel Skomedal Breland, Aveen Dayal, Ajit Jha, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26602-26614
Closed Access | Times Cited: 42
Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars
Erik Versluijs, Laura J. Niccolai, Mélanie Spedener, et al.
Frontiers in Animal Science (2023) Vol. 4
Open Access | Times Cited: 20
Applications of Machine Learning in Chemical and Biological Oceanography
Balamurugan Sadaiappan, Preethiya Balakrishnan, Vishal C.R., et al.
ACS Omega (2023) Vol. 8, Iss. 18, pp. 15831-15853
Open Access | Times Cited: 18
Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures
Bence Ferdinandy, L. Gerencsér, Luca Corrieri, et al.
PLoS ONE (2020) Vol. 15, Iss. 7, pp. e0236092-e0236092
Open Access | Times Cited: 49
Thermal performance responses in free-ranging elasmobranchs depend on habitat use and body size
Karissa O. Lear, Nicholas M. Whitney, David L. Morgan, et al.
Oecologia (2019) Vol. 191, Iss. 4, pp. 829-842
Closed Access | Times Cited: 47
Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology
Lorène Jeantet, Víctor Planas‐Bielsa, Simon Benhamou, et al.
Royal Society Open Science (2020) Vol. 7, Iss. 5, pp. 200139-200139
Open Access | Times Cited: 46
Automatic drowsiness detection for safety-critical operations using ensemble models and EEG signals
Plìnio M. S. Ramos, Caio Bezerra Souto Maior, Márcio das Chagas Moura, et al.
Process Safety and Environmental Protection (2022) Vol. 164, pp. 566-581
Closed Access | Times Cited: 28
The auditory system of cartilaginous fishes
Lucille Chapuis, Shaun P. Collin
Reviews in Fish Biology and Fisheries (2022) Vol. 32, Iss. 2, pp. 521-554
Closed Access | Times Cited: 25
Identifying animal behaviours from accelerometers: Improving predictive accuracy of machine learning by refining the variables selected, data frequency, and sample duration
Carolyn E. Dunford, Nikki J. Marks, Rory P. Wilson, et al.
Ecology and Evolution (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 5
Assessing the effects of sampling frequency on behavioural classification of accelerometer data
Jenna L. Hounslow, Lauran R. Brewster, Karissa O. Lear, et al.
Journal of Experimental Marine Biology and Ecology (2019) Vol. 512, pp. 22-30
Open Access | Times Cited: 41
Using tri-axial accelerometer loggers to identify spawning behaviours of large pelagic fish
Thomas M. Clarke, Sasha K. Whitmarsh, Jenna L. Hounslow, et al.
Movement Ecology (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 31
Powering Ocean Giants: The Energetics of Shark and Ray Megafauna
Christopher L. Lawson, Lewis G. Halsey, Graeme C. Hays, et al.
Trends in Ecology & Evolution (2019) Vol. 34, Iss. 11, pp. 1009-1021
Open Access | Times Cited: 33
Using Artificial Intelligence to Predict Survivability Likelihood and Need for Surgery in Horses Presented With Acute Abdomen (Colic)
Mohammad Fraiwan, Sameeh M. Abutarbush
Journal of Equine Veterinary Science (2020) Vol. 90, pp. 102973-102973
Closed Access | Times Cited: 31
Fully Convolutional Neural Network: A solution to infer animal behaviours from multi-sensor data
Lorène Jeantet, Vincent Vigon, Sébastien Geiger, et al.
Ecological Modelling (2021) Vol. 450, pp. 109555-109555
Open Access | Times Cited: 24
First Insights Into the Fine-Scale Movements of the Sandbar Shark, Carcharhinus plumbeus
Samantha Andrzejaczek, Adrian C. Gleiss, Charitha Pattiaratchi, et al.
Frontiers in Marine Science (2018) Vol. 5
Open Access | Times Cited: 29
Abiotic drivers of the space use and activity of gray reef sharks Carcharhinus amblyrhynchos in a dynamic tidal environment
Anaïs Laurioux, Charlie Huveneers, Yannis P. Papastamatiou, et al.
Journal of Fish Biology (2024)
Open Access | Times Cited: 3
A benchmark for computational analysis of animal behavior, using animal-borne tags
Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, et al.
Movement Ecology (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 3
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