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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:

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: 105

Showing 1-25 of 105 citing articles:

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
Yuzhen Lu, Dong Chen, Ebenezer O. Olaniyi, et al.
Computers and Electronics in Agriculture (2022) Vol. 200, pp. 107208-107208
Open Access | Times Cited: 183
Applications and perspectives of Generative Artificial Intelligence in agriculture
Federico Pallottino, Simona Violino, Simone Figorilli, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109919-109919
Closed Access | Times Cited: 3
Behavioural Indicators of Infectious Disease in Managed Animals
Christine J Nicol
Applied Animal Behaviour Science (2025), pp. 106573-106573
Open Access | Times Cited: 2
Uncertainty-driven ensembles of multi-scale deep architectures for image classification
Juan E. Arco, Andrés Ortíz, Javier Ramı́rez, et al.
Information Fusion (2022) Vol. 89, pp. 53-65
Open Access | Times Cited: 43
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
AI-Powered Cow Detection in Complex Farm Environments
Voncarlos M. Araújo, Ines Rili, Thomas Gisiger, et al.
Smart Agricultural Technology (2025), pp. 100770-100770
Open Access | Times Cited: 1
Image processing strategies for pig liveweight measurement: Updates and challenges
Suvarna Bhoj, Ayon Tarafdar, Anuj Chauhan, et al.
Computers and Electronics in Agriculture (2022) Vol. 193, pp. 106693-106693
Closed Access | Times Cited: 33
Efficient Aggressive Behavior Recognition of Pigs Based on Temporal Shift Module
Hengyi Ji, Guanghui Teng, Jionghua Yu, et al.
Animals (2023) Vol. 13, Iss. 13, pp. 2078-2078
Open Access | Times Cited: 19
Detection and coverage estimation of purple nutsedge in turf with image classification neural networks
Xiaojun Jin, Kang Han, Hua Zhao, et al.
Pest Management Science (2024) Vol. 80, Iss. 7, pp. 3504-3515
Closed Access | Times Cited: 8
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: 27
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
Deep transfer learning-based computer vision for real-time harvest period classification and impurity detection of Porphyra haitnensis
Zhenchang Gao, Jinxian Huang, Jiashun Chen, et al.
Aquaculture International (2024) Vol. 32, Iss. 4, pp. 5171-5198
Closed Access | Times Cited: 6
Livestock feeding behaviour: A review on automated systems for ruminant monitoring
José O. Chelotti, Luciano S. Martinez-Rau, Mariano Ferrero, et al.
Biosystems Engineering (2024) Vol. 246, pp. 150-177
Open Access | Times Cited: 6
Real-Time Identification of Geological Factuals by Integrating Formation Micro Resistivity Imaging Logs With Computer Vision
Amr Gharieb, Mohamed Adel Gabry, Ahmed Algarhy, et al.
(2024)
Closed Access | Times Cited: 5
A state-of-the-art review of image motion deblurring techniques in precision agriculture
Yu Huihui, Daoliang Li, Chen Yingyi
Heliyon (2023) Vol. 9, Iss. 6, pp. e17332-e17332
Open Access | Times Cited: 12
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping
Tomas Klingström, Emelie Zonabend König, Avhashoni Agnes Zwane
Briefings in Functional Genomics (2024)
Open Access | Times Cited: 4
Collectively advancing deep learning for animal detection in drone imagery: Successes, challenges, and research gaps
Daniel Axford, Ferdous Sohel, Mathew A. Vanderklift, et al.
Ecological Informatics (2024), pp. 102842-102842
Open Access | Times Cited: 4
ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: The progression of data analytics and artificial intelligence in support of sustainable development in animal science
L. O. Tedeschi
Journal of Animal Science (2022) Vol. 100, Iss. 6
Open Access | Times Cited: 19
A Lightweight Neural Network-Based Method for Detecting Estrus Behavior in Ewes
Longhui Yu, Yuhai Pu, Honglei Cen, et al.
Agriculture (2022) Vol. 12, Iss. 8, pp. 1207-1207
Open Access | Times Cited: 18
Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview
P. Curti, Alana Selli, Diógenes Lodi Pinto, et al.
Animal Reproduction (2023) Vol. 20, Iss. 2
Open Access | Times Cited: 11
Vision Transformers for Automated Detection of Pig Interactions in groups
Gbadegesin Adetayo Taiwo, Sunil Vadera, Ali Alameer
Smart Agricultural Technology (2025), pp. 100774-100774
Open Access
Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro
Mohamed G. Embaby, Toqi Tahamid Sarker, Amer AbuGhazaleh, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Comparative Result Analysis of Cauliflower Disease Classification Based on Deep Learning Approach VGG16, Inception v3, ResNet, and a Custom CNN Model
Asif Shahriar Arnob, Ashfakul Karim Kausik, Zohirul Islam, et al.
Hybrid Advances (2025), pp. 100440-100440
Open Access
Detection of External Defects of Tomato Crop Using Appearance Parameters by Convolutional Neural Networks
Nima Noorali, Ali Rajabipour, Hamed Sardari, et al.
Future Foods (2025), pp. 100611-100611
Open Access
Leveraging computer vision, large language models, and multimodal machine learning for optimal decision-making in dairy farming
Rafael E P Ferreira, João Ricardo Rebouças Dórea
Journal of Dairy Science (2025)
Open Access
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