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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:

Detection of aggressive behaviours in pigs using a RealSence depth sensor
Chen Chen, Weixing Zhu, Dong Liu, et al.
Computers and Electronics in Agriculture (2019) Vol. 166, pp. 105003-105003
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

An adaptive pig face recognition approach using Convolutional Neural Networks
Mathieu Marsot, Jiangqiang Mei, Xiaocai Shan, et al.
Computers and Electronics in Agriculture (2020) Vol. 173, pp. 105386-105386
Open Access | Times Cited: 141
Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning
Chen Chen, Weixing Zhu, Tomás Norton
Computers and Electronics in Agriculture (2021) Vol. 187, pp. 106255-106255
Open Access | Times Cited: 132
Exploring the Potential of Precision Livestock Farming Technologies to Help Address Farm Animal Welfare
Juliette Schillings, Richard Bennett, David Christian Rose
Frontiers in Animal Science (2021) Vol. 2
Open Access | Times Cited: 108
Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions
Sarah Morrone, Corrado Dimauro, Filippo Gambella, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4319-4319
Open Access | Times Cited: 103
A time-series neural network for pig feeding behavior recognition and dangerous detection from videos
Yan Zhang, Xinze Yang, Yufei Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108710-108710
Closed Access | Times Cited: 32
A computer vision-based method for spatial-temporal action recognition of tail-biting behaviour in group-housed pigs
Dong Liu, Maciej Oczak, Kristina Maschat, et al.
Biosystems Engineering (2020) Vol. 195, pp. 27-41
Open Access | Times Cited: 101
A Systematic Review on Validated Precision Livestock Farming Technologies for Pig Production and Its Potential to Assess Animal Welfare
Yaneth Gómez, Anna H. Stygar, I.J.M.M. Boumans, et al.
Frontiers in Veterinary Science (2021) Vol. 8
Open Access | Times Cited: 100
Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory
Chen Chen, Weixing Zhu, Juan P. Steibel, et al.
Computers and Electronics in Agriculture (2019) Vol. 169, pp. 105166-105166
Open Access | Times Cited: 98
An overview of the current trends in precision pig farming technologies
Christos Tzanidakis, Panagiotis Simitzis, Konstantinos G. Arvanitis, et al.
Livestock Science (2021) Vol. 249, pp. 104530-104530
Closed Access | Times Cited: 70
The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming
Shunli Wang, Honghua Jiang, Yongliang Qiao, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6541-6541
Open Access | Times Cited: 45
A review on the application of computer vision and machine learning in the tea industry
Huajia Wang, Jinan Gu, Mengni Wang
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 27
The quest to develop automated systems for monitoring animal behavior
Janice M. Siegford, Juan P. Steibel, Junjie Han, et al.
Applied Animal Behaviour Science (2023) Vol. 265, pp. 106000-106000
Open Access | Times Cited: 25
Classification of drinking and drinker-playing in pigs by a video-based deep learning method
Chen Chen, Weixing Zhu, Juan P. Steibel, et al.
Biosystems Engineering (2020) Vol. 196, pp. 1-14
Open Access | Times Cited: 63
The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals
Elanchezhian Arulmozhi, Anil Bhujel, Byeong-Eun Moon, et al.
Animals (2021) Vol. 11, Iss. 8, pp. 2343-2343
Open Access | Times Cited: 45
A two-stage recognition method based on deep learning for sheep behavior
Zishuo Gu, Haoyu Zhang, Zhiqiang He, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108143-108143
Open Access | Times Cited: 18
Dual attention-guided feature pyramid network for instance segmentation of group pigs
Zhiwei Hu, Hua Yang, Tiantian Lou
Computers and Electronics in Agriculture (2021) Vol. 186, pp. 106140-106140
Closed Access | Times Cited: 36
Detection of Pig Movement and Aggression Using Deep Learning Approaches
Jiacheng Wei, Xi Tang, Jinxiu Liu, et al.
Animals (2023) Vol. 13, Iss. 19, pp. 3074-3074
Open Access | Times Cited: 16
EmbeddedPigDet—Fast and Accurate Pig Detection for Embedded Board Implementations
Jihyun Seo, Hanse Ahn, Daewon Kim, et al.
Applied Sciences (2020) Vol. 10, Iss. 8, pp. 2878-2878
Open Access | Times Cited: 34
Automated detection and analysis of piglet suckling behaviour using high-accuracy amodal instance segmentation
Haiming Gan, Mingqiang Ou, Chengpeng Li, et al.
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107162-107162
Closed Access | Times Cited: 22
Automated detection and quantification of contact behaviour in pigs using deep learning
Ali Alameer, Stephanie Buijs, N.E. O’Connell, et al.
Biosystems Engineering (2022) Vol. 224, pp. 118-130
Open Access | Times Cited: 21
Pattern Mining-Based Pig Behavior Analysis for Health and Welfare Monitoring
Hassan Seif Mluba, Othmane Atif, Jonguk Lee, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2185-2185
Open Access | Times Cited: 4
Depth-Oriented Gray Image for Unseen Pig Detection in Real Time
Jongwoong Seo, Seungwook Son, Seunghyun Yu, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 988-988
Open Access
Recent advances in pig behavior detection based on information perception technology
Jinyang Xu, Yibin Ying, Dihua Wu, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110327-110327
Closed Access
Methods and challenges in computer vision-based livestock anomaly detection, a systematic review
Yutong Deng, Hongchun Qu, Ansong Leng, et al.
Biosystems Engineering (2025) Vol. 253, pp. 104135-104135
Closed Access
A Lightweight Pig Aggressive Behavior Recognition Model by Effective Integration of Spatio-Temporal Features
Ying Pu, Yaqin Zhao, Hao Ma, et al.
Animals (2025) Vol. 15, Iss. 8, pp. 1159-1159
Open Access
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