Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Federated Learning-Based Crop Yield Prediction for Agricultural Production Risk Management
T Manoj, Krishnamoorthi Makkithaya, V G Narendra
2022 IEEE Delhi Section Conference (DELCON) (2022)
Closed Access | Times Cited: 22

Showing 22 citing articles:

Empowering Farmers with AI: Federated Learning of CNNs for Wheat Diseases Multi-Classification
Shiva Mehta, Vinay Kukreja, Satvik Vats
(2023), pp. 1-6
Closed Access | Times Cited: 74
Advanced Mango Leaf Disease Detection and Severity Analysis with Federated Learning and CNN
Shiva Mehta, Vinay Kukreja, Rishika Yadav
(2023), pp. 1-6
Closed Access | Times Cited: 33
Spinach Leaf Disease Detection and Severity Analysis: Breaking New Ground with Federated Learning and CNN
Shiva Mehta, Vinay Kukreja, Vikrant Sharma
(2023), pp. 1-6
Closed Access | Times Cited: 20
Agriculture Breakthrough: Federated ConvNets for Unprecedented Maize Disease Detection and Severity Estimation
Shiva Mehta, Vinay Kukreja, Prateek Srivastava
(2023)
Closed Access | Times Cited: 17
Agricultural data privacy and federated learning: A review of challenges and opportunities
Rahool Dembani, Ioannis Karvelas, Nur Arifin Akbar, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110048-110048
Open Access
A systematic literature review on the applications of federated learning and enabling technologies for livestock management
Ricardo Garro, Carrie S Wilson, David L. Swain, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110180-110180
Open Access
A Systematic Literature Review of the IoT in Agriculture - Global Adoption, Innovations, Security Privacy Challenges
Asma Naseer, Muhammad Shmoon, Tanzeela Shakeel, et al.
IEEE Access (2024) Vol. 12, pp. 60986-61021
Open Access | Times Cited: 4
Harnessing the power of machine learning for crop improvement and sustainable production
Seyed Mahdi Hosseiniyan Khatibi, Jauhar Ali
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Federated learning: a deep learning model based on resnet18 dual path for lung nodule detection
Lixin Liu, Kefeng Fan, Mengzhen Yang
Multimedia Tools and Applications (2022) Vol. 82, Iss. 11, pp. 17437-17450
Closed Access | Times Cited: 15
Federated Learning for Smart Agriculture: Challenges and Opportunities
Hari Kishan Kondaveeti, Guduru Balamanikanta Sai, Shaik Asneem Athar, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 2
Federated Learning as a Solution for Problems Related to Intergovernmental Data Sharing
Jan Schmidt, Benjamin Köhler, Hagen Borstell
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)
Open Access | Times Cited: 1
Federated Learning Models in Decentralized Critical Infrastructure
Ilias Siniosoglou, Stamatia Bibi, Konstantinos-Filippos Kollias, et al.
River Publishers eBooks (2023), pp. 95-115
Open Access | Times Cited: 3
Applying Federated Learning on Decentralized Smart Farming: A Case Study
Ilias Siniosoglou, Konstantinos Xouveroudis, Vasileios Argyriou, et al.
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2023), pp. 1295-1300
Closed Access | Times Cited: 2
Federated Learning in Smart Agriculture: An Overview
Duy-Dong Le, Minh-Son Dao, Tran Anh Khoa, et al.
(2023), pp. 1-4
Closed Access | Times Cited: 2
Bean Leaf Lesions Image Classification: A Robust Ensemble Deep Learning Approach
Raj Gaurang Tiwari, Anurag Kumar
(2024), pp. 986-993
Closed Access
Federated learning methods for collaborative multiclass classification of dry beans
Ankush Kumar Gaur, J. Arul Valan
Genetic Resources and Crop Evolution (2024)
Closed Access
IoT based Distributed Framework for Agricultural Decision Support System
Binita Acharya, Arun Kumar Timalsina, Basanta Joshi, et al.
(2023), pp. 83-93
Closed Access | Times Cited: 1
Transforming Okra Cultivation: A Study on Leaf Disease Using Federated Learning CNNs
Varun Jindal, Vinay Kukreja, Shiva Mehta, et al.
(2023)
Closed Access | Times Cited: 1
Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-Classification
Shiva Mehta, Vinay Kukreja, Satvik Vats
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
Modernizing Lung Cancer Detection: The Federated Learning CNN Approach
Varun Jindal, Vinay Kukreja, Devesh Pratap Singh, et al.
(2023), pp. 1-6
Closed Access
Federated Learning CNN's in Agriculture: Unveiling Disease Severity Analysis of Java Plum Leaf's
Satvik Vats, Shiva Mehta, Vinay Kukreja, et al.
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023), pp. 1-6
Closed Access
Federated Learning for Mango Ripeness Classification: Evaluating Pre-Trained Deep Learning Frameworks
Raj Gaurang Tiwari, Himani Maheshwari, Ambuj Kumar Agarwal, et al.
(2023), pp. 23-28
Closed Access
Page 1

Scroll to top