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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:

ChickTrack – A quantitative tracking tool for measuring chicken activity
Suresh Neethirajan
Measurement (2022) Vol. 191, pp. 110819-110819
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

An Attention Mechanism-Improved YOLOv7 Object Detection Algorithm for Hemp Duck Count Estimation
Kailin Jiang, Tianyu Xie, Rui Yan, et al.
Agriculture (2022) Vol. 12, Iss. 10, pp. 1659-1659
Open Access | Times Cited: 128
Artificial intelligence applications in the agrifood sectors
Innocent Kutyauripo, Munyaradzi Charles Rushambwa, Lyndah Chiwazi
Journal of Agriculture and Food Research (2023) Vol. 11, pp. 100502-100502
Open Access | Times Cited: 75
Precision Livestock Farming Applications (PLF) for Grazing Animals
Christos Tzanidakis, Ouranios Tzamaloukas, Panagiotis Simitzis, et al.
Agriculture (2023) Vol. 13, Iss. 2, pp. 288-288
Open Access | Times Cited: 44
Object detection and tracking in Precision Farming: a systematic review
Mar Ariza-Sentís, Sergio Vélez, Raquel Martínez‐Peña, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108757-108757
Open Access | Times Cited: 35
Mislaying behavior detection in cage-free hens with deep learning technologies
Ramesh Bahadur Bist, Xiao Yang, Sachin Subedi, et al.
Poultry Science (2023) Vol. 102, Iss. 7, pp. 102729-102729
Open Access | Times Cited: 27
A computer vision approach to monitor activity in commercial broiler chickens using trajectory-based clustering analysis
Mairead Campbell, Paul Miller, Katerine Díaz-Chito, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108591-108591
Open Access | Times Cited: 7
Monitoring activity index and behaviors of cage-free hens with advanced deep learning technologies
Xiao Yang, Ramesh Bahadur Bist, Bidur Paneru, et al.
Poultry Science (2024) Vol. 103, Iss. 11, pp. 104193-104193
Open Access | Times Cited: 7
YOLO-Based Model for Automatic Detection of Broiler Pathological Phenomena through Visual and Thermal Images in Intensive Poultry Houses
Wael M. Elmessery, Joaquín Gutiérrez, Gomaa Galal Abd El-wahhab, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1527-1527
Open Access | Times Cited: 17
SY-Track: A tracking tool for measuring chicken flock activity level
Xinjie Tan, Chengcheng Yin, Xiaoxin Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108603-108603
Closed Access | Times Cited: 6
Using artificial intelligence to improve poultry productivity – a review
Hassan M. Taleb, Khalid Mahrose, Amal A. Abdel-Halim, et al.
Annals of Animal Science (2024)
Open Access | Times Cited: 6
On-Device Feeding Behavior Analysis of Grazing Cattle
Luciano S. Martinez-Rau, José O. Chelotti, Leonardo L. Giovanini, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 5
Chicken Diseases Detection and Classification Based on Fecal Images Using EfficientNetB7 Model
Vandana Bharti, Kuldeep Kumar Yogi, Satya Prakash Yadav
Evergreen (2024) Vol. 11, Iss. 1, pp. 314-330
Open Access | Times Cited: 5
Computer Vision-Based cybernetics systems for promoting modern poultry Farming: A critical review
Xiao Yang, Ramesh Bahadur Bist, Bidur Paneru, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109339-109339
Closed Access | Times Cited: 5
Aggressive Behavior Recognition and Welfare Monitoring in Yellow-Feathered Broilers Using Fctr and Wearable Identity Tags
Hongcheng Xue, Jie Ma, Yakun Yang, et al.
(2025)
Closed Access
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
A two-stage deep learning approach for identifying low-yield hens in stacked cage systems
Yanchao Wang, Kaixuan Cuan, Wei Pei, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109958-109958
Closed Access
PCCNet: A Point Supervised Dense Chickens Flock Counting Network
Yubin Guo, Zhipeng Wu, Zhiwei Su, et al.
Smart Agricultural Technology (2025), pp. 100795-100795
Open Access
Smart technologies to improve the management and resilience to climate change of livestock housing: a systematic and critical review
Francesco Bordignon, Giorgio Provolo, Elisabetta Riva, et al.
Italian Journal of Animal Science (2025) Vol. 24, Iss. 1, pp. 376-392
Open Access
Automatic monitoring of activity intensity in a chicken flock using a computer vision-based background image subtraction technique: an experimental infection study with fowl adenovirus
Hiroshi Iseki, Eri Furukawa, Toshiaki Shimasaki, et al.
Smart Agricultural Technology (2025), pp. 100821-100821
Open Access
TSO-HA*-Net: A Hybrid Global Path Planner for the Inspection Vehicles Used in Caged Poultry Houses
Yueping Sun, Zhanxue Cao, Wei Yan, et al.
Agriculture (2025) Vol. 15, Iss. 5, pp. 532-532
Open Access
ACMSPT: Automated Counting and Monitoring System for Poultry Tracking
Edmanuel Cruz, Miguel Hidalgo-Rodriguez, Adiz Mariel Acosta-Reyes, et al.
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 86-86
Open Access
Y-BGD: Broiler counting based on multi-object tracking
Ximing Li, Zeyong Zhao, Jingyi Wu, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107347-107347
Closed Access | Times Cited: 23
Developing Edge AI Computer Vision for Smart Poultry Farms Using Deep Learning and HPC
Stevan Čakić, Tomo Popović, Srdjan Krčo, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3002-3002
Open Access | Times Cited: 15
Towards Early Poultry Health Prediction through Non-Invasive and Computer Vision-Based Dropping Classification
Arnas Nakrošis, Agnė Paulauskaitė-Tarasevičienė, Vidas Raudonis, et al.
Animals (2023) Vol. 13, Iss. 19, pp. 3041-3041
Open Access | Times Cited: 12
Automating poultry farm management with artificial intelligence: Real-time detection and tracking of broiler chickens for enhanced and efficient health monitoring
Bharani Kumar Depuru, Sreekanth Putsala, Pragya Mishra
Tropical Animal Health and Production (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 4
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