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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:

A Service-based Joint Model Used for Distributed Learning: Application for Smart Agriculture
Dixon Vimalajeewa, Chamil Kulatunga, D.P. Berry, et al.
IEEE Transactions on Emerging Topics in Computing (2021), pp. 1-1
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data
Lucile Riaboff, L. Shalloo, Alan F. Smeaton, et al.
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106610-106610
Open Access | Times Cited: 127
Advancing Agriculture through IoT, Big Data, and AI: A Review of Smart Technologies Enabling Sustainability
Nurzaman Ahmed, Nadia Shakoor
Smart Agricultural Technology (2025), pp. 100848-100848
Open Access | Times Cited: 2
Lightweight Federated Learning for Rice Leaf Disease Classification Using Non Independent and Identically Distributed Images
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12149-12149
Open Access | Times Cited: 33
Harvesting a sustainable future: An overview of smart agriculture's role in social, economic, and environmental sustainability
Zulfadli Hazim Zul Azlan, Syahrul Nizam Junaini, Noor Alamshah Bolhassan, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 140338-140338
Closed Access | Times Cited: 21
Federated learning-based UAVs for the diagnosis of Plant Diseases
Fawad Salam Khan, Sikandar Khan, Mohd. Norzali Haji Mohd, et al.
2021 International Conference on Engineering and Emerging Technologies (ICEET) (2022)
Closed Access | Times Cited: 23
Federated Transfer Learning for Rice-Leaf Disease Classification across Multiclient Cross-Silo Datasets
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, et al.
Agronomy (2023) Vol. 13, Iss. 10, pp. 2483-2483
Open Access | Times Cited: 16
Data sharing and exchanging with incentive and optimization: a survey
Liyuan Liu, Meng Han
Discover Data (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 5
Federated Learning on Internet of Things: Extensive and Systematic Review
Meenakshi Aggarwal, Vikas Khullar, Sunita Rani, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 1795-1834
Open Access | Times Cited: 5
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
IoT-Based Smart Farming Architecture Using Federated Learning: a Nitrous Oxide Emission Prediction Use Case
Patrick Killeen, Ci Lin, Futong Li, et al.
ACM Journal on Computing and Sustainable Societies (2025)
Closed Access
Contemporary and Futuristic Intelligent Technologies for Rice Leaf Disease Detection
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022), pp. 1-6
Closed Access | Times Cited: 17
A comprehensive review of federated learning: Methods, applications, and challenges in privacy-preserving collaborative model training
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal
CRC Press eBooks (2024), pp. 570-575
Open Access | Times Cited: 3
A Blockchain-Assisted Trusted Federated Learning for Smart Agriculture
T Manoj, Krishnamoorthi Makkithaya, V G Narendra
SN Computer Science (2025) Vol. 6, Iss. 3
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
Futuristic Technologies in Agriculture Challenges and Future Prospects
Upinder Kaur, Manjit Kaur, Alex Khang
Advances in environmental engineering and green technologies book series (2023), pp. 347-364
Closed Access | Times Cited: 9
Agriculture data analysis using parallel k-nearest neighbour classification algorithm
Vimala Rani M, Rajeev Ranjan
International Journal of Reconfigurable and Embedded Systems (IJRES) (2024) Vol. 13, Iss. 2, pp. 332-332
Open Access | Times Cited: 2
FedAAR: A Novel Federated Learning Framework for Animal Activity Recognition with Wearable Sensors
Axiu Mao, Endai Huang, Haiming Gan, et al.
Animals (2022) Vol. 12, Iss. 16, pp. 2142-2142
Open Access | Times Cited: 11
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 2
Closed Access | Times Cited: 6
Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia
Larisa Hrustek, Martina Tomičić Furjan, Filip Varga, et al.
Interdisciplinary Description of Complex Systems (2022) Vol. 19, Iss. 4, pp. 491-499
Open Access | Times Cited: 9
Privacy-Encoded Federated Learning Against Gradient-Based Data Reconstruction Attacks
Hongfu Liu, Bin Li, Changlong Gao, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 5860-5875
Closed Access | Times Cited: 5
Deep learning based Rice plant Disease Identification with Transfer learning
C. Sherin Shibi, R. Babitha Lincy, Jency Rubia J, et al.
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2022), pp. 697-702
Closed Access | Times Cited: 7
susFL: Federated Learning-based Monitoring for Sustainable, Attack-Resistant Smart Farms
Dian Chen, Paul Yang, Dong Sam Ha, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 199-208
Closed Access | Times Cited: 1
Distributed Clustering for Cooperative Multi-Task Learning Networks
Jiani Li, Weihan Wang, Waseem Abbas, et al.
IEEE Transactions on Network Science and Engineering (2023), pp. 1-10
Closed Access | Times Cited: 3
Data Governance in the Dairy Industry
R.I. Cue, Mark Doornink, Regi George, et al.
Animals (2021) Vol. 11, Iss. 10, pp. 2981-2981
Open Access | Times Cited: 6
PlantBalance: An Automated Ensemble Learning Framework for Plant Disease Detection
Pranjal Joshi, Amita Dev, Arun Sharma, et al.
2022 IEEE Delhi Section Conference (DELCON) (2022), pp. 1-6
Closed Access | Times Cited: 3
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