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 Systematic Literature Review on the Use of Deep Learning in Precision Livestock Detection and Localization Using Unmanned Aerial Vehicles
D. B. Mamehgol Yousefi, Azmin Shakrine Mohd Rafie, S. A. R. Al-Haddad, et al.
IEEE Access (2022) Vol. 10, pp. 80071-80091
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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: 42

Precision Livestock Farming Research: A Global Scientometric Review
Bing Jiang, Wenjie Tang, Lihang Cui, et al.
Animals (2023) Vol. 13, Iss. 13, pp. 2096-2096
Open Access | Times Cited: 33

Advancing animal behaviour research using drone technology
Lucia Pedrazzi, Hemal Naik, Chris Sandbrook, et al.
Animal Behaviour (2025) Vol. 222, pp. 123147-123147
Open Access | Times Cited: 1

Drone Technologies: A Tertiary Systematic Literature Review on a Decade of Improvements
Jurrian Doornbos, Kwabena Ebo Bennin, Önder Babur, et al.
IEEE Access (2024) Vol. 12, pp. 23220-23239
Open Access | Times Cited: 7

A review of deep learning techniques for detecting animals in aerial and satellite images
Zeyu Xu, Tiejun Wang, Andrew K. Skidmore, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103732-103732
Open Access | Times Cited: 7

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

Monitoring of Wildlife Using Unmanned Aerial Vehicle (UAV) With Machine Learning
Zeinab E. Ahmed, Aisha Hassan Abdalla Hashim, Rashid A. Saeed, et al.
Advances in computational intelligence and robotics book series (2024), pp. 97-120
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

Agro Guard Edge AI - Development of Sustainable IoT Framework for Wildlife Intrusion Detection
R. Deepika, P Shalini, Sona Saran S, et al.
Journal of Electrical Engineering and Automation (2025) Vol. 6, Iss. 4, pp. 325-342
Open Access

Artificial Intelligence Applied to Precision Livestock Farming: a Tertiary Study
Damiano Distante, Chiara Albanello, Hira Zaffar, et al.
Smart Agricultural Technology (2025), pp. 100889-100889
Open Access

AI and Data Analytics in the Dairy Farms: A Scoping Review
Osvaldo Palma, Lluís M. Plà‐Aragonès, Alejandro Vergara, et al.
Animals (2025) Vol. 15, Iss. 9, pp. 1291-1291
Open Access

Revolutionizing animal sciences: Multifaceted solutions and transformative impact of AI technologies
Ebrahim Talebi, Maryam Khosravi Nezhad
CABI Reviews (2024)
Closed Access | Times Cited: 3

Smart Farming and Precision Agriculture and Its Need in Today’s World
Sreya John, P. J. Arul Leena Rose
Signals and communication technology (2024), pp. 19-44
Closed Access | Times Cited: 3

Artificial Intelligence and Smart Farming: An Overview
Varsha Kanojia, A. Subeesh, Nand Lal Kushwaha
Advances in geographical and environmental sciences (2024), pp. 3-22
Closed Access | Times Cited: 3

Do you get what you see? Insights of using mAP to select architectures of pretrained neural networks for automated aerial animal detection
Mael Moreni, Jérôme Théau, Samuel Foucher
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284449-e0284449
Open Access | Times Cited: 6

Transfer Learning-Driven Cattle Instance Segmentation Using Deep Learning Modelss
Rotimi-Williams Bello, Pius Adewale Owolawi, Etienne Van Wyk, et al.
Agriculture (2024) Vol. 14, Iss. 12, pp. 2282-2282
Open Access | Times Cited: 2

A Proposal for Decentralized and Secured Data Collection from Unmanned Aerial Vehicles in Livestock Monitoring with Blockchain and IPFS
Julio César Úbeda Ortega, Jesús Rodríguez-Molina, Margarita Martínez, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 471-471
Open Access | Times Cited: 7

Advances in the use of robotics in livestock production
Kees Lokhorst, Tomás Norton
Burleigh Dodds series in agricultural science (2024), pp. 661-688
Open Access | Times Cited: 1

Open Set Vehicle Detection for UAV-Based Images Using an Out-of-Distribution Detector
Fei Zhao, Wenzhong Lou, Yi Sun, et al.
Drones (2023) Vol. 7, Iss. 7, pp. 434-434
Open Access | Times Cited: 1

Management and Monitoring of Livestock in the Farm Using Deep Learning
Makhabane Molapo, Chunling Tu, Deao Du Plessis, et al.
(2023) Vol. 7, pp. 1-6
Closed Access | Times Cited: 1

Deep Learning for Pig Size Detection in Smart Farm Imaging
Chao-Ting Chu, Zhixuan Lin
(2023)
Closed Access | Times Cited: 1

Advanced Technologies in Sheep Extensive Farming on a Climate Change Context
Maria Giovanna Ciliberti, Mariangela Caroprese, Marzia Albenzio
IntechOpen eBooks (2024)
Open Access

A Novel Active RFID and TinyML based system for livestock Localization in Pakistan
Syed Atir Raza Shirazi, Maham Fatima, Abdul Wahab, et al.
Sir Syed University Research Journal of Engineering & Technology (2024) Vol. 14, Iss. 1, pp. 33-38
Open Access

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