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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:

Automated cattle counting using Mask R-CNN in quadcopter vision system
Beibei Xu, Wensheng Wang, Greg Falzon, et al.
Computers and Electronics in Agriculture (2020) Vol. 171, pp. 105300-105300
Open Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Arunabha M. Roy, Jayabrata Bhaduri
Advanced Engineering Informatics (2023) Vol. 56, pp. 102007-102007
Closed Access | Times Cited: 156
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
Artificial intelligence in animal farming: A systematic literature review
Jun Bao, Qiuju Xie
Journal of Cleaner Production (2021) Vol. 331, pp. 129956-129956
Closed Access | Times Cited: 130
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
Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation
Yongliang Qiao, He Kong, Cameron Clark, et al.
Computers and Electronics in Agriculture (2021) Vol. 185, pp. 106143-106143
Open Access | Times Cited: 127
Animal Welfare Implications of Digital Tools for Monitoring and Management of Cattle and Sheep on Pasture
Anders Herlin, Emma Brunberg, Jan Hultgren, et al.
Animals (2021) Vol. 11, Iss. 3, pp. 829-829
Open Access | Times Cited: 107
Mask YOLOv7-Based Drone Vision System for Automated Cattle Detection and Counting
Rotimi-Williams Bello, Mojisola Abosede Oladipo
Artificial Intelligence and Applications (2024)
Open Access | Times Cited: 16
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 | Times Cited: 2
Image analysis for individual identification and feeding behaviour monitoring of dairy cows based on Convolutional Neural Networks (CNN)
Brahim Achour, Malika Belkadi, Idir Filali, et al.
Biosystems Engineering (2020) Vol. 198, pp. 31-49
Closed Access | Times Cited: 104
Applications, databases and open computer vision research from drone videos and images: a survey
Younes Akbari, Noor Almaadeed, Somaya Al‐Maadeed, et al.
Artificial Intelligence Review (2021) Vol. 54, Iss. 5, pp. 3887-3938
Closed Access | Times Cited: 84
A systematic literature review on deep learning applications for precision cattle farming
Md Sultan Mahmud, Azlan Zahid, Anup Das, et al.
Computers and Electronics in Agriculture (2021) Vol. 187, pp. 106313-106313
Closed Access | Times Cited: 83
Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach
Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque, et al.
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 39-39
Open Access | Times Cited: 78
Application of image processing and convolutional neural networks for flood image classification and semantic segmentation
R. Pally, S. Samadi
Environmental Modelling & Software (2021) Vol. 148, pp. 105285-105285
Open Access | Times Cited: 73
Real-time detection of particleboard surface defects based on improved YOLOV5 target detection
Ziyu Zhao, Xiaoxia Yang, Yucheng Zhou, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 72
An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety
Irina V. Pustokhina, Denis A. Pustokhin, Thavavel Vaiyapuri, et al.
Safety Science (2021) Vol. 142, pp. 105356-105356
Closed Access | Times Cited: 66
Livestock Management With Unmanned Aerial Vehicles: A Review
Mohammed Ateeq Alanezi, Mohammad Shoaib Shahriar, Md. Bakhtiar Hasan, et al.
IEEE Access (2022) Vol. 10, pp. 45001-45028
Open Access | Times Cited: 58
A systematic review of machine learning techniques for cattle identification: Datasets, methods and future directions
Md Ekramul Hossain, Muhammad Ashad Kabir, Lihong Zheng, et al.
Artificial Intelligence in Agriculture (2022) Vol. 6, pp. 138-155
Open Access | Times Cited: 49
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
Automatic shrimp counting method using local images and lightweight YOLOv4
Lu Zhang, Xinhui Zhou, Beibei Li, et al.
Biosystems Engineering (2022) Vol. 220, pp. 39-54
Closed Access | Times Cited: 42
Deep-learning-based counting methods, datasets, and applications in agriculture: a review
Guy Farjon, Liu Hui-jun, Yael Edan
Precision Agriculture (2023) Vol. 24, Iss. 5, pp. 1683-1711
Closed Access | Times Cited: 36
Comparing State-of-the-Art Deep Learning Algorithms for the Automated Detection and Tracking of Black Cattle
Su Myat Noe, Thi Thi Zin, Pyke Tin, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 532-532
Open Access | Times Cited: 35
Monitoring the respiratory behavior of multiple cows based on computer vision and deep learning
Dihua Wu, Mengxuan Han, Huaibo Song, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 4, pp. 2963-2979
Open Access | Times Cited: 25
Towards evaluation of the PID criteria based UAVs observation and tracking head within resizable selection by COA algorithm
Noorulden Basil, Hamzah M. Marhoon
Results in Control and Optimization (2023) Vol. 12, pp. 100279-100279
Open Access | Times Cited: 25
Application of Precision Technologies to Characterize Animal Behavior: A Review
Abdellah Hlimi, Samira El Otmani, Fouad Elame, et al.
Animals (2024) Vol. 14, Iss. 3, pp. 416-416
Open Access | Times Cited: 10
Technological Tools and Artificial Intelligence in Estrus Detection of Sows—A Comprehensive Review
Md Sharifuzzaman, Hong‐Seok Mun, Keiven Mark B. Ampode, et al.
Animals (2024) Vol. 14, Iss. 3, pp. 471-471
Open Access | Times Cited: 8
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