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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 and Machine Vision Approaches for Posture Detection of Individual Pigs
Abozar Nasirahmadi, Barbara Sturm, S.A. Edwards, et al.
Sensors (2019) Vol. 19, Iss. 17, pp. 3738-3738
Open Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

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
Artificial intelligence in animal farming: A systematic literature review
Jun Bao, Qiuju Xie
Journal of Cleaner Production (2021) Vol. 331, pp. 129956-129956
Closed Access | Times Cited: 132
Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review
Guoming Li, Yanbo Huang, Zhiqian Chen, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1492-1492
Open Access | Times Cited: 127
The quiet revolution in machine vision - a state-of-the-art survey paper, including historical review, perspectives, and future directions
Melvyn Smith, Lyndon Smith, Mark Hansen
Computers in Industry (2021) Vol. 130, pp. 103472-103472
Closed Access | Times Cited: 118
Digital transformation in the agri-food industry: recent applications and the role of the COVID-19 pandemic
Abdo Hassoun, H.J.P. Marvin, Yamine Bouzembrak, et al.
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 43
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
Leveraging the potential of convolutional neural networks in poultry farming: a 5-year overview
Sandra Nicole Umurungi, Jean de Dieu Marcel Ufitikirezi, Tomáš Zoubek, et al.
World s Poultry Science Journal (2025), pp. 1-32
Closed Access | Times Cited: 2
Physics informed machine learning: Seismic wave equation
Sadegh Karimpouli, Pejman Tahmasebi
Geoscience Frontiers (2020) Vol. 11, Iss. 6, pp. 1993-2001
Open Access | Times Cited: 121
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 livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence
Sigfredo Fuentes, Claudia Gonzalez Viejo, Eden Tongson, et al.
Animal Health Research Reviews (2022) Vol. 23, Iss. 1, pp. 59-71
Open Access | Times Cited: 62
Information Technologies for Welfare Monitoring in Pigs and Their Relation to Welfare Quality®
Mona Lilian Vestbjerg Larsen, Meiqing Wang, Tomás Norton
Sustainability (2021) Vol. 13, Iss. 2, pp. 692-692
Open Access | Times Cited: 59
Applications of Smart Technology as a Sustainable Strategy in Modern Swine Farming
Shad Mahfuz, Hong‐Seok Mun, Muhammad Ammar Dilawar, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2607-2607
Open Access | Times Cited: 55
Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect
Man Cheng, Hongbo Yuan, Qifan Wang, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107010-107010
Closed Access | Times Cited: 46
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
Farmers’ Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors
Idan Kopler, U. Marchaim, Ildikó Edit Tikász, et al.
Animals (2023) Vol. 13, Iss. 18, pp. 2868-2868
Open Access | Times Cited: 23
PAB-Mamba-YOLO: VSSM assists in YOLO for aggressive behavior detection among weaned piglets
Xue Xia, Ning Zhang, Zhibin Guan, et al.
Artificial Intelligence in Agriculture (2025)
Open Access | Times Cited: 1
Automatic recognition of feeding and foraging behaviour in pigs using deep learning
Ali Alameer, I. Kyriazakis, Hillary A. Dalton, et al.
Biosystems Engineering (2020) Vol. 197, pp. 91-104
Open Access | Times Cited: 68
Automatic behavior recognition of group-housed goats using deep learning
Min Jiang, Yuan Rao, Jingyao Zhang, et al.
Computers and Electronics in Agriculture (2020) Vol. 177, pp. 105706-105706
Closed Access | Times Cited: 67
A review of video-based pig behavior recognition
Qiumei Yang, Deqin Xiao
Applied Animal Behaviour Science (2020) Vol. 233, pp. 105146-105146
Closed Access | Times Cited: 67
Welfare Health and Productivity in Commercial Pig Herds
Przemysław Racewicz, Agnieszka Ludwiczak, Ewa Skrzypczak, et al.
Animals (2021) Vol. 11, Iss. 4, pp. 1176-1176
Open Access | Times Cited: 55
Evaluation of Deep Learning for Automatic Multi-View Face Detection in Cattle
Beibei Xu, Wensheng Wang, Leifeng Guo, et al.
Agriculture (2021) Vol. 11, Iss. 11, pp. 1062-1062
Open Access | Times Cited: 46
Intelligent Posture Training: Machine-Learning-Powered Human Sitting Posture Recognition Based on a Pressure-Sensing IoT Cushion
Katia Bourahmoune, Karlos Ishac, Toshiyuki Amagasa
Sensors (2022) Vol. 22, Iss. 14, pp. 5337-5337
Open Access | Times Cited: 35
Global Application of Regenerative Agriculture: A Review of Definitions and Assessment Approaches
S. Jayasinghe, D. Thomas, Jonathan P. Anderson, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 15941-15941
Open Access | Times Cited: 22
Multi-Mode Electric Wheelchair with Health Monitoring and Posture Detection Using Machine Learning Techniques
Jehangir Arshad, Muhammad Adil Ashraf, Hafiza Mahnoor Asim, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1132-1132
Open Access | Times Cited: 17
Automated Video Behavior Recognition of Pigs Using Two-Stream Convolutional Networks
Kaifeng Zhang, Dan Li, Jiayun Huang, et al.
Sensors (2020) Vol. 20, Iss. 4, pp. 1085-1085
Open Access | Times Cited: 45
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