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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:

Don’t get lost in the crowd: Graph convolutional network for online animal tracking in dense groups
Andrea Parmiggiani, Dong Liu, Eric Psota, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108038-108038
Open Access | Times Cited: 12

Showing 12 citing articles:

An interpretable model based on graph learning for diagnosis of Parkinson’s disease with voice-related EEG
Shuzhi Zhao, Guangyan Dai, Jingting Li, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 13
Advancements in artificial intelligence technology for improving animal welfare: Current applications and research progress
Li Zhang, Wenqiang Guo, Chenrui Lv, et al.
Animal Research and One Health (2023) Vol. 2, Iss. 1, pp. 93-109
Open Access | Times Cited: 20
Deep learning in multiple animal tracking: A survey
Yeqiang Liu, Weiran Li, Xue Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109161-109161
Closed Access | Times Cited: 5
Livestock Biometrics Identification Using Computer Vision Approaches: A Review
Meng Hua, Lina Zhang, Fan Yang, et al.
Agriculture (2025) Vol. 15, Iss. 1, pp. 102-102
Open Access
YOLOR-Stem: Gaussian rotating bounding boxes and probability similarity measure for enhanced tomato main stem detection
Guohua Gao, Lifa Fang, Zihua Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110192-110192
Closed Access
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: 2
Skeleton-based image feature extraction for automated behavioral analysis in human-animal relationship tests
Maciej Oczak, Jean‐Loup Rault, Suzanne Truong, et al.
Applied Animal Behaviour Science (2024) Vol. 277, pp. 106347-106347
Open Access | Times Cited: 1
Peeking into the unseen: Occlusion-resistant segmentation for preweaning piglets under crushing events
Haiming Gan, Francesca Menegon, Aoshen Sun, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108683-108683
Closed Access | Times Cited: 1
Standardisation of the Structure of Pig's Skeleton for Automated Vision Tasks
Maciej Oczak, Sarah Juarez, Aleksandra Kielar, et al.
(2023)
Closed Access | Times Cited: 2
Recognizing pawing behavior of prepartum doe using semantic segmentation and motion history image (MHI) features
Zikang Chen, Ruotong Yang, Shengfu Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122829-122829
Closed Access | Times Cited: 2
Automated Monitoring of Ear Biting in Pigs by Tracking Individuals and Events
Anicetus Odo, Niall McLaughlin, I. Kyriazakis
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7080-7088
Closed Access
Skeleton-Based Image Feature Extraction for Automated Behavioral Analysis in Human-Animal Relationship Tests
Maciej Oczak, Jean‐Loup Rault, Suzanne Truong, et al.
(2024)
Closed Access
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