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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:

Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data
Lucile Riaboff, L. Shalloo, Alan F. Smeaton, et al.
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106610-106610
Open Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Analysis of Accelerometer and GPS Data for Cattle Behaviour Identification and Anomalous Events Detection
Javier Cabezas, Roberto Yubero, Beatriz Visitación, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 336-336
Open Access | Times Cited: 46
Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions
Axiu Mao, Endai Huang, Xiaoshuai Wang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108043-108043
Closed Access | Times Cited: 40
Development and Analysis of a CNN- and Transfer-Learning-Based Classification Model for Automated Dairy Cow Feeding Behavior Recognition from Accelerometer Data
Victor Bloch, Lilli Frondelius, Claudia Arcidiacono, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2611-2611
Open Access | Times Cited: 25
Cow Behavioural Activities in Extensive Farms: Challenges of Adopting Automatic Monitoring Systems
Dominga Mancuso, Giulia Castagnolo, Simona M.C. Porto
Sensors (2023) Vol. 23, Iss. 8, pp. 3828-3828
Open Access | Times Cited: 23
ActBeCalf: Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
Oshana Dissanayake, Sarah E. Mcpherson, Joseph Allyndrée, et al.
Data in Brief (2025), pp. 111462-111462
Open Access | Times Cited: 1
How do we feed grazing livestock in the future? A case for knowledge‐driven grazing systems
Juliane Horn, J. Isselstein
Grass and Forage Science (2022) Vol. 77, Iss. 3, pp. 153-166
Open Access | Times Cited: 32
Challenges of Pasture Feeding Systems—Opportunities and Constraints
B. Wróbel, W. Zielewicz, Mariola Staniak
Agriculture (2023) Vol. 13, Iss. 5, pp. 974-974
Open Access | Times Cited: 20
Real-time automatic integrated monitoring of barn environment and dairy cattle behaviour: Technical implementation and evaluation on three commercial farms
Lisette M. C. Leliveld, Carlo Brandolese, Matteo Grotto, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108499-108499
Open Access | Times Cited: 20
Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer data
Said Benaissa, Frank Tuyttens, David Plets, et al.
animal (2023) Vol. 17, Iss. 4, pp. 100730-100730
Open Access | Times Cited: 19
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: 19
Enhancing cattle production and management through convolutional neural networks. A review
Jean de Dieu Marcel Ufitikirezi, Roman Bumbálek, Tomáš Zoubek, et al.
Czech Journal of Animal Science (2024) Vol. 69, Iss. 3, pp. 75-88
Open Access | Times Cited: 7
Reducing life cycle environmental impacts of milk production through precision livestock farming
Daniela Lovarelli, Marco Bovo, Claudia Giannone, et al.
Sustainable Production and Consumption (2024)
Open Access | Times Cited: 7
Behavior classification and spatiotemporal analysis of grazing sheep using deep learning
Zhongming Jin, Hang Shu, Tianci Hu, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108894-108894
Closed Access | Times Cited: 6
Assessment of Metaverse wearable technologies for smart livestock farming through a neuro quantum spherical fuzzy decision-making model
Fatih Ecer, İlkin Yaran Ögel, Hasan Di̇nçer, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124722-124722
Closed Access | Times Cited: 6
Livestock feeding behaviour: A review on automated systems for ruminant monitoring
José O. Chelotti, Luciano S. Martinez-Rau, Mariano Ferrero, et al.
Biosystems Engineering (2024) Vol. 246, pp. 150-177
Open Access | Times Cited: 6
Classification and Analysis of Multiple Cattle Unitary Behaviors and Movements Based on Machine Learning Methods
Yong-Feng Li, Hang Shu, Jérôme Bindelle, et al.
Animals (2022) Vol. 12, Iss. 9, pp. 1060-1060
Open Access | Times Cited: 25
Towards a novel method for detecting atypical lying down and standing up behaviors in dairy cows using accelerometers and machine learning
Stijn P. Brouwers, Michael Simmler, P. Savary, et al.
Smart Agricultural Technology (2023) Vol. 4, pp. 100199-100199
Open Access | Times Cited: 15
Literature Review on Technological Applications to Monitor and Evaluate Calves’ Health and Welfare
Flávio G. Silva, Cristina Conceição, Alfredo Manuel Franco Pereira, et al.
Animals (2023) Vol. 13, Iss. 7, pp. 1148-1148
Open Access | Times Cited: 14
Decoding cow behavior patterns from accelerometer data using deep learning
R. Newlin Shebiah, S. Arivazhagan
Journal of Veterinary Behavior (2024) Vol. 74, pp. 68-78
Closed Access | Times Cited: 5
Classifying the posture and activity of ewes and lambs using accelerometers and machine learning on a commercial flock
Emily Price, Joss Langford, Tim W. Fawcett, et al.
Applied Animal Behaviour Science (2022) Vol. 251, pp. 105630-105630
Closed Access | Times Cited: 21
Behavioral Fingerprinting: Acceleration Sensors for Identifying Changes in Livestock Health
Bowen Fan, Racheal H. Bryant, Andrew W. Greer
J — Multidisciplinary Scientific Journal (2022) Vol. 5, Iss. 4, pp. 435-454
Open Access | Times Cited: 20
A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle
Mariano Ferrero, Leandro D. Vignolo, Sebastián R. Vanrell, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106016-106016
Closed Access | Times Cited: 11
A comparative study on time series data-based artificial intelligence approaches for classifying cattle feeding behavior
Khalid El Moutaouakil, Noureddine Falih
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 1, pp. 324-324
Open Access | Times Cited: 4
JTF-Squeezenet: A SqueezeNet Network Based on Joint Time-Frequency Data Representation for Egg-Laying Detection in Individually Caged Ducks
Siting Lv, Yuanyang Mao, Youfu Liu, et al.
Poultry Science (2025) Vol. 104, Iss. 2, pp. 104782-104782
Open Access
Grazing time of dairy cows recorded using two devices based on accelerometers
Romain Guyard, Rémy Delagarde
Applied Animal Behaviour Science (2025) Vol. 283, pp. 106515-106515
Closed Access
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