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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:

Deep learning based classification of sheep behaviour from accelerometer data with imbalance
Kirk E. Turner, A. N. Thompson, Ian Harris, et al.
Information Processing in Agriculture (2022) Vol. 10, Iss. 3, pp. 377-390
Open Access | Times Cited: 23

Showing 23 citing articles:

Application of deep learning for livestock behaviour recognition: A systematic literature review
Ali Rohan, Muhammad Saad Rafaq, Md Junayed Hasan, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109115-109115
Open Access | Times Cited: 18
Comparative Analysis using Various Performance Metrics in Imbalanced Data for Multi-class Text Classification
Slamet Riyanto, Imas Sukaesih Sitanggang, Taufik Djatna, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 18
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: 8
Lambing event detection using deep learning from accelerometer data
Kirk E. Turner, Ferdous Sohel, Ian Harris, et al.
Computers and Electronics in Agriculture (2023) Vol. 208, pp. 107787-107787
Open Access | Times Cited: 16
Machine learning‐based LoRa localisation using multiple received signal features
Khondoker Ziaul Islam, David W. Murray, Dean Diepeveen, et al.
IET Wireless Sensor Systems (2023) Vol. 13, Iss. 4, pp. 133-150
Open Access | Times Cited: 14
Integrating computer vision algorithms and RFID system for identification and tracking of group-housed animals: an example with pigs
Mónica Mora, Miriam Piles, Ingrid David, et al.
Journal of Animal Science (2024) Vol. 102
Open Access | Times Cited: 5
AnimalAccML: An open-source graphical user interface for automated behavior analytics of individual animals using triaxial accelerometers and machine learning
Guoming Li, Lilong Chai
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107835-107835
Open Access | Times Cited: 12
Non-invasive monitoring for precision sheep farming: Development, challenges, and future perspectives
Yanchao Wang, Xiaoshuai Wang, Kai Liu, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110050-110050
Closed Access
Behavior detection of dairy goat based on YOLO11 and ELSlowFast-LSTM
Junpeng Zhang, Zihan Bai, Yifan Wei, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110224-110224
Closed Access
Effectiveness of gyroscopes and triaxial accelerometers paired with deep learning algorithms in detecting dairy camel behavior
Chayma Chaouch Aoun, Moufida Atigui, Paolo Balasso, et al.
Applied Animal Behaviour Science (2025), pp. 106643-106643
Closed Access
Sheep-YOLO: improved and lightweight YOLOv8n for precise and intelligent recognition of fattening lambs’ behaviors and vitality statuses
Mengjie Zhang, Danfeng Hong, Jiabao Wu, et al.
Computers and Electronics in Agriculture (2025) Vol. 236, pp. 110413-110413
Closed Access
Comparison of two tri-axial accelerometers for measuring locomotor activity in ewes and lambs
J.A. Abecia, Carlos Aguerri, Francisco Canto
Smart Agricultural Technology (2024) Vol. 8, pp. 100496-100496
Open Access | Times Cited: 3
Ephedra sinica Influences the Grazing Activities of Mixed Grazing Cattle and Sheep in Desert Steppe
Z Zhang, Xiaowei Gou, Yuping Rong, et al.
Land Degradation and Development (2025)
Closed Access
Rumination Detection in Sheep: A Systematic Review of Sensor-Based Approaches
Stephanie Janet Schneidewind, Mohamed Rabih Al Merestani, Sven Schmidt, et al.
Animals (2023) Vol. 13, Iss. 24, pp. 3756-3756
Open Access | Times Cited: 6
Cattle behavior recognition from accelerometer data: Leveraging in-situ cross-device model learning
Reza Arablouei, Greg Bishop-Hurley, Neil Bagnall, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109546-109546
Open Access | Times Cited: 2
Identification of reindeer fine-scale foraging behaviour using tri-axial accelerometer data
Heidi Rautiainen, Moudud Alam, Paul G. Blackwell, et al.
Movement Ecology (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 10
A review on beef cattle supplementation technologies
Guilherme Defalque, Ricardo Santos, Marcio Carneiro Brito Pache, et al.
Information Processing in Agriculture (2023)
Open Access | Times Cited: 5
Potential role of biologgers to automate detection of lame ewes and lambs
Kate Lewis, Emily Price, Darren P. Croft, et al.
Applied Animal Behaviour Science (2023) Vol. 259, pp. 105847-105847
Open Access | Times Cited: 4
Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms
Mónica Mora, Lucile Riaboff, Ingrid David, et al.
Smart Agricultural Technology (2024), pp. 100675-100675
Open Access | Times Cited: 1
Sheep-YOLO: a lightweight daily behavior identification and counting method for housed sheep
Jie Wang, Yahong Zhai, Lan Zhu, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 2, pp. 026001-026001
Closed Access | Times Cited: 1
Sheep health behavior analysis in machine learning: A short comprehensive survey
Alam Noor, Murray J. Corke, Eduardo Tovar
Smart Agricultural Technology (2023) Vol. 6, pp. 100366-100366
Open Access | Times Cited: 2
An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling
Guanjin Wang, Stephen Wai Hang Kwok, Daniel Axford, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110831-110831
Open Access | Times Cited: 1
Behavior Classification and Spatiotemporal Analysis of Grazing Sheep Using Deep Learning
Zhongming Jin, Hang Shu, Tianci Hu, et al.
(2023)
Closed Access
Detection of Broiler Behaviors Through a Wearable Sensor System and Machine Learning Methods
Mohammad Sakib, Sk. Shah Alam, M. Mofazzal Hossain
(2023), pp. 1-6
Closed Access
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