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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:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 499

Showing 26-50 of 499 citing articles:

Machine Learning Algorithm for Soil Analysis and Classification of Micronutrients in IoT-Enabled Automated Farms
T. Blesslin Sheeba, L. D. Vijay Anand, G. Raj Manohar, et al.
Journal of Nanomaterials (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 38
MangoLeafBD: A comprehensive image dataset to classify diseased and healthy mango leaves
Sarder Iftekhar Ahmed, Muhammad Ibrahim, Md. Nadim, et al.
Data in Brief (2023) Vol. 47, pp. 108941-108941
Open Access | Times Cited: 38
Integrating artificial intelligence and high-throughput phenotyping for crop improvement
Mansoor Sheikh, Farooq Iqra, Hamadani Ambreen, et al.
Journal of Integrative Agriculture (2023) Vol. 23, Iss. 6, pp. 1787-1802
Open Access | Times Cited: 34
Machine learning technology for early prediction of grain yield at the field scale: A systematic review
Joerg Leukel, Tobias Zimpel, Christoph Stumpe
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107721-107721
Closed Access | Times Cited: 29
Machine Learning and Deep Learning for Plant Disease Classification and Detection
Vasileios Balafas, Emmanouil Karantoumanis, Malamati Louta, et al.
IEEE Access (2023) Vol. 11, pp. 114352-114377
Open Access | Times Cited: 28
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: 27
Soybean yield prediction by machine learning and climate
Guilherme Botega Torsoni, Lucas Eduardo de Oliveira Aparecido, Gabriela Marins dos Santos, et al.
Theoretical and Applied Climatology (2023) Vol. 151, Iss. 3-4, pp. 1709-1725
Closed Access | Times Cited: 26
Navigating the future: exploring technological advancements and emerging trends in the sustainable ornamental industry
Muneeb Ahmad Wani, Ambreena Din, Imtiyaz Tahir Nazki, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 25
An Efficient Hybrid CNN Classification Model for Tomato Crop Disease
Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, et al.
Technologies (2023) Vol. 11, Iss. 1, pp. 10-10
Open Access | Times Cited: 24
Human–Robot Interaction in Agriculture: A Systematic Review
Lefteris Benos, Vasileios Moysiadis, Dimitrios Kateris, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6776-6776
Open Access | Times Cited: 24
A Comprehensive Survey of Machine Learning: Advancements, Applications, and Challenges
T. G. Nithya, Vivek Kumar, S. Gayathri, et al.
(2023), pp. 354-361
Closed Access | Times Cited: 23
Machine Learning: Models, Challenges, and Research Directions
Tala Talaei Khoei, Naima Kaabouch
Future Internet (2023) Vol. 15, Iss. 10, pp. 332-332
Open Access | Times Cited: 22
Recent Advances in Digital Twins for Agriculture 5.0: Applications and Open Issues in Livestock Production Systems
Eleni Symeonaki, Chrysanthos Maraveas, Konstantinos G. Arvanitis
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 686-686
Open Access | Times Cited: 12
Digital Twins in Agriculture and Forestry: A Review
Aristotelis C. Tagarakis, Lefteris Benos, George Kyriakarakos, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 3117-3117
Open Access | Times Cited: 12
Detection and monitoring wheat diseases using unmanned aerial vehicles (UAVs)
Pabitra Joshi, Karansher Singh Sandhu, Guriqbal Singh Dhillon, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109158-109158
Closed Access | Times Cited: 11
Mapping of soil suitability for medicinal plants using machine learning methods
S. Roopashree, J. Anitha, Suryateja Challa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Artificial Intelligence: A Promising Tool for Application in Phytopathology
Victoria E. González‐Rodríguez, Inmaculada Izquierdo‐Bueno, Jesús M. Cantoral, et al.
Horticulturae (2024) Vol. 10, Iss. 3, pp. 197-197
Open Access | Times Cited: 10
Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion
Muhammad Ashfaq, Imran Khan, Abdulrahman Alzahrani, et al.
IEEE Access (2024) Vol. 12, pp. 40947-40961
Open Access | Times Cited: 9
A Review of Machine Learning Techniques in Agroclimatic Studies
Dania Tamayo-Vera, Xiuquan Wang, Morteza Mesbah
Agriculture (2024) Vol. 14, Iss. 3, pp. 481-481
Open Access | Times Cited: 9
Smart Indoor Farms: Leveraging Technological Advancements to Power a Sustainable Agricultural Revolution
Anirban Jyoti Hati, Rajiv Ranjan Singh
AgriEngineering (2021) Vol. 3, Iss. 4, pp. 728-767
Open Access | Times Cited: 49
Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap
Santosh Pandey, Upender Kalwa, Taejoon Kong, et al.
Animals (2021) Vol. 11, Iss. 9, pp. 2665-2665
Open Access | Times Cited: 45
Bridging the Gaps in Traceability Systems for Fresh Produce Supply Chains: Overview and Development of an Integrated IoT-Based System
Aristotelis C. Tagarakis, Lefteris Benos, Dimitrios Kateris, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7596-7596
Open Access | Times Cited: 44
A survey of machine learning approaches in animal behaviour
Natasa Kleanthous, Abir Hussain, Wasiq Khan, et al.
Neurocomputing (2022) Vol. 491, pp. 442-463
Open Access | Times Cited: 36
Yield and Quality of Romaine Lettuce at Different Daily Light Integral in an Indoor Controlled Environment
B. Matysiak, Ewa Ropelewska, Anna Wrzodak, et al.
Agronomy (2022) Vol. 12, Iss. 5, pp. 1026-1026
Open Access | Times Cited: 35
Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
Dragana Rajković, Ana Marjanović‐Jeromela, Lato Pezo, et al.
Journal of Food Composition and Analysis (2022) Vol. 115, pp. 105020-105020
Open Access | Times Cited: 34

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