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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:

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

Showing 1-25 of 34 citing articles:

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
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
Automatic Position Detection and Posture Recognition of Grouped Pigs Based on Deep Learning
Hengyi Ji, Jionghua Yu, Fengdan Lao, et al.
Agriculture (2022) Vol. 12, Iss. 9, pp. 1314-1314
Open Access | Times Cited: 26
EmbeddedPigCount: Pig Counting with Video Object Detection and Tracking on an Embedded Board
Jonggwan Kim, Yooil Suh, Junhee Lee, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2689-2689
Open Access | Times Cited: 25
A lightweight CNN-based model for early warning in sow oestrus sound monitoring
Yuan Wang, Shouxiao Li, Hang Zhang, et al.
Ecological Informatics (2022) Vol. 72, pp. 101863-101863
Closed Access | Times Cited: 23
YOLOv5-KCB: A New Method for Individual Pig Detection Using Optimized K-Means, CA Attention Mechanism and a Bi-Directional Feature Pyramid Network
Guangbo Li, Guolong Shi, Jun Jiao
Sensors (2023) Vol. 23, Iss. 11, pp. 5242-5242
Open Access | Times Cited: 16
Barriers to computer vision applications in pig production facilities
Jiangong Li, Angela R Green-Miller, Xiaodan Hu, et al.
Computers and Electronics in Agriculture (2022) Vol. 200, pp. 107227-107227
Open Access | Times Cited: 21
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
From machine learning to deep learning in agriculture – the quantitative review of trends
Kristian Đokić, Lucija Blašković, Dubravka Mandušić
IOP Conference Series Earth and Environmental Science (2020) Vol. 614, Iss. 1, pp. 012138-012138
Open Access | Times Cited: 31
EnsemblePigDet: Ensemble Deep Learning for Accurate Pig Detection
Hanse Ahn, Seungwook Son, Heegon Kim, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5577-5577
Open Access | Times Cited: 22
Visual detection on posture transformation characteristics of sows in late gestation based on Libra R-CNN
Longshen Liu, Jie Zhou, Bo Zhang, et al.
Biosystems Engineering (2022) Vol. 223, pp. 219-231
Closed Access | Times Cited: 15
Extracting Accurate Long-term Behavior Changes from a Large Pig Dataset
Luca Bergamini, Stefano Pini, Alessandro Simoni, et al.
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2021), pp. 524-533
Open Access | Times Cited: 19
Investigation of Pig Activity Based on Video Data and Semi-Supervised Neural Networks
Martin Wutke, Armin O. Schmitt, Imke Traulsen, et al.
AgriEngineering (2020) Vol. 2, Iss. 4, pp. 581-595
Open Access | Times Cited: 20
GAN-Based Video Denoising with Attention Mechanism for Field-Applicable Pig Detection System
Bo Zhao, Othmane Atif, Jonguk Lee, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3917-3917
Open Access | Times Cited: 11
Enhancing welfare assessment: Automated detection and imaging of dorsal and lateral views of swine carcasses for identification of welfare indicators
Francis Ferri, Juan Yepez, Mahyar Ahadi, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109058-109058
Open Access | Times Cited: 2
Is Deep Learning useful for decision making in pig production?
Yun Bao, Pol Llagostera, Lluís M. Plà‐Aragonès
Internet of Things (2024) Vol. 26, pp. 101229-101229
Open Access | Times Cited: 2
Enhanced Swine Behavior Detection with YOLOs and a Mixed Efficient Layer Aggregation Network in Real Time
J.‐C. Lee, Yo Han Choi, Han-sung Lee, et al.
Animals (2024) Vol. 14, Iss. 23, pp. 3375-3375
Open Access | Times Cited: 2
Field-Applicable Pig Anomaly Detection System Using Vocalization for Embedded Board Implementations
Minki Hong, Hanse Ahn, Othmane Atif, et al.
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6991-6991
Open Access | Times Cited: 17
Posture Detection of Individual Pigs Based on Lightweight Convolution Neural Networks and Efficient Channel-Wise Attention
Yizhi Luo, Zhixiong Zeng, Huazhong Lu, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8369-8369
Open Access | Times Cited: 15
Smart metering system data analytics platform using multicore edge computing
Juan Carlos Olivares, Enrique Reyes-Archundia, José Antonio Gutiérrez Gnecchi, et al.
International Journal of Reconfigurable and Embedded Systems (IJRES) (2021) Vol. 10, Iss. 1, pp. 11-11
Open Access | Times Cited: 12
Social density detection for suckling piglets based on convolutional neural network combined with local outlier factor algorithm
Qian Ding, Longshen Liu, Mingzhou Lu, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107423-107423
Closed Access | Times Cited: 7
On-Device Object Detection for More Efficient and Privacy-Compliant Visual Perception in Context-Aware Systems
Iván Rodríguez, Celso Campos, Florentino Fdez‐Riverola
Applied Sciences (2021) Vol. 11, Iss. 19, pp. 9173-9173
Open Access | Times Cited: 6
Cloud-assisted collaborative inference of convolutional neural networks for vision tasks on resource-constrained devices
Iván Rodríguez, Celso Campos, Florentino Fdez‐Riverola
Neurocomputing (2023) Vol. 560, pp. 126835-126835
Closed Access | Times Cited: 2
An efficient anchor‐free method for pig detection
Morann Mattina, Abdesslam Benzinou, Kamal Nasreddine, et al.
IET Image Processing (2022) Vol. 17, Iss. 2, pp. 613-626
Open Access | Times Cited: 4
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