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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:

Automatic recognition of sow nursing behaviour using deep learning-based segmentation and spatial and temporal features
Aqing Yang, Huasheng Huang, Xunmu Zhu, et al.
Biosystems Engineering (2018) Vol. 175, pp. 133-145
Closed Access | Times Cited: 59

Showing 1-25 of 59 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
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
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
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
A review of deep learning algorithms for computer vision systems in livestock
Dário Augusto Borges Oliveira, Luiz Gustavo Ribeiro Pereira, Tiago Bresolin, et al.
Livestock Science (2021) Vol. 253, pp. 104700-104700
Open Access | Times Cited: 102
A deep semantic segmentation-based algorithm to segment crops and weeds in agronomic color images
Sovi Guillaume Sodjinou, Vahid Mohammadi, Amadou Tidjani Sanda Mahama, et al.
Information Processing in Agriculture (2021) Vol. 9, Iss. 3, pp. 355-364
Closed Access | Times Cited: 61
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
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 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
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
Transforming the Adaptation Physiology of Farm Animals through Sensors
Suresh Neethirajan
Animals (2020) Vol. 10, Iss. 9, pp. 1512-1512
Open Access | Times Cited: 63
Mounting Behaviour Recognition for Pigs Based on Deep Learning
Dan Li, Yifei Chen, Kaifeng Zhang, et al.
Sensors (2019) Vol. 19, Iss. 22, pp. 4924-4924
Open Access | Times Cited: 62
An automatic recognition framework for sow daily behaviours based on motion and image analyses
Aqing Yang, Huasheng Huang, Bin Zheng, et al.
Biosystems Engineering (2020) Vol. 192, pp. 56-71
Closed Access | Times Cited: 51
Automatic monitoring and detection of tail-biting behavior in groups of pigs using video-based deep learning methods
Franziska Hakansson, Dan Børge Jensen
Frontiers in Veterinary Science (2023) Vol. 9
Open Access | Times Cited: 20
Automatic recognition of lactating sow postures by refined two-stream RGB-D faster R-CNN
Xunmu Zhu, Changxin Chen, Bin Zheng, et al.
Biosystems Engineering (2019) Vol. 189, pp. 116-132
Closed Access | Times Cited: 50
Development and application of an image acquisition system for characterizing sow behaviors in farrowing stalls
Suzanne M Leonard, H. Xin, T. M. Brown-Brandl, et al.
Computers and Electronics in Agriculture (2019) Vol. 163, pp. 104866-104866
Open Access | Times Cited: 46
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
Pig mounting behaviour recognition based on video spatial–temporal features
Qiumei Yang, Deqin Xiao, Jiahao Cai
Biosystems Engineering (2021) Vol. 206, pp. 55-66
Closed Access | Times Cited: 37
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
Automated detection and analysis of social behaviors among preweaning piglets using key point-based spatial and temporal features
Haiming Gan, Mingqiang Ou, Endai Huang, et al.
Computers and Electronics in Agriculture (2021) Vol. 188, pp. 106357-106357
Closed Access | Times Cited: 33
Deep Learning in Diverse Intelligent Sensor Based Systems
Yanming Zhu, Min Wang, Xuefei Yin, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 62-62
Open Access | Times Cited: 27
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
Spatiotemporal graph convolutional network for automated detection and analysis of social behaviours among pre-weaning piglets
Haiming Gan, Chengguo Xu, Wenhao Hou, et al.
Biosystems Engineering (2022) Vol. 217, pp. 102-114
Closed Access | Times Cited: 21
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