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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:

PEFL: Deep Privacy-Encoding-Based Federated Learning Framework for Smart Agriculture
Prabhat Kumar, Govind P. Gupta, Rakesh Tripathi
IEEE Micro (2021) Vol. 42, Iss. 1, pp. 33-40
Closed Access | Times Cited: 84

Showing 26-50 of 84 citing articles:

A Review of Federated Learning in Agriculture
Krista Rizman Žalik, Mitja Žalik
Sensors (2023) Vol. 23, Iss. 23, pp. 9566-9566
Open Access | Times Cited: 13
Achieving Organizational Effectiveness through Machine Learning Based Approaches for Malware Analysis and Detection
Md. Alimul Haque, Sultan Ahmad, Deepa Sonal, et al.
Data & Metadata (2023) Vol. 2, pp. 139-139
Open Access | Times Cited: 13
APFed: Adaptive personalized federated learning for intrusion detection in maritime meteorological sensor networks
Xin Su, Guifu Zhang
Digital Communications and Networks (2024)
Open Access | Times Cited: 4
Fed-MPS: Federated learning with local differential privacy using model parameter selection for resource-constrained CPS
Shui Jiang, Xiaoding Wang, Youxiong Que, et al.
Journal of Systems Architecture (2024) Vol. 150, pp. 103108-103108
Closed Access | Times Cited: 4
Unleashing the prospective of blockchain-federated learning fusion for IoT security: A comprehensive review
Mansi Gupta, Mohit Kumar, Renu Dhir
Computer Science Review (2024) Vol. 54, pp. 100685-100685
Closed Access | Times Cited: 4
Federated learning based reference evapotranspiration estimation for distributed crop fields
Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0314921-e0314921
Open Access
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
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
Block chain fostered cycle‐consistent generative adversarial network framework espoused intrusion detection for protecting IoT network
G. Sugitha, A. Solairaj, J. Suresh
Transactions on Emerging Telecommunications Technologies (2022) Vol. 33, Iss. 11
Closed Access | Times Cited: 20
Securing Cloud-Based Internet of Things: Challenges and Mitigations
Nivedita Singh, Rajkumar Buyya, Hyoungshick Kim
Sensors (2024) Vol. 25, Iss. 1, pp. 79-79
Open Access | Times Cited: 3
Collaborative DDoS Detection in Distributed Multi-Tenant IoT using Federated Learning
Euclides Carlos Pinto Neto, Sajjad Dadkhah, Ali A. Ghorbani
(2022), pp. 1-10
Closed Access | Times Cited: 16
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
Smart connected farms and networked farmers to improve crop production, sustainability and profitability
Asheesh K. Singh, Behzad J. Balabaygloo, Barituka Bekee, et al.
Frontiers in Agronomy (2024) Vol. 6
Closed Access | Times Cited: 3
Intrusion Detection in Internet of Things Based Smart Farming Using Hybrid Deep Learning Framework
Keerthi Kethineni, G. Pradeepini
Research Square (Research Square) (2023)
Open Access | Times Cited: 7
E-CropReco: a dew-edge-based multi-parametric crop recommendation framework for internet of agricultural things
Somnath Bera, Tanushree Dey, Anwesha Mukherjee, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 11, pp. 11965-11999
Closed Access | Times Cited: 7
Improved Intelligent Malware Detection Model in Cloud Environment
Gayathri Karthick, B. Rebecca Jeyavadhanam, V. Ramalingam, et al.
Lecture notes in networks and systems (2024), pp. 343-353
Closed Access | Times Cited: 2
FWICSS-Federated Watermarked Ideal Client Selection Strategy for Internet of Things (IoT) Intrusion Detection System
R. Alexander, Krishan Kumar
Wireless Personal Communications (2024) Vol. 137, Iss. 4, pp. 2121-2143
Closed Access | Times Cited: 2
AsyFed: Accelerated Federated Learning With Asynchronous Communication Mechanism
Zhixin Li, Chunpu Huang, Keke Gai, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 10, pp. 8670-8683
Closed Access | Times Cited: 11
Secure and Efficient Federated Gradient Boosting Decision Trees
Xue Zhao, Xiaohui Li, Shuang Sun, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4283-4283
Open Access | Times Cited: 6
Feature Cluster-Based Secure Data Transmission Method for Social Internet of Vehicles
Ling Xing, Lulu Liu, Honghai Wu, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2180-2180
Open Access | Times Cited: 6
Blockchain and Federated Learning Based Integrated Approach for Agricultural Internet of Things
Vikram Puri, Vijender Kumar Solanki, Gloria Jeanette Rincón Aponte
Lecture notes in networks and systems (2023), pp. 240-246
Closed Access | Times Cited: 5
Social Networking Security during COVID-19: A Systematic Literature Review
Rabia Abid, Muhammad Rizwan, Peter Veselý, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 9
A novel hybrid optimization enabled robust CNN algorithm for an IoT network intrusion detection approach
Ahmed Bahaa, Abdalla Sayed, Laila Elfangary, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0278493-e0278493
Open Access | Times Cited: 9
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu, Steve Drew, Fan Dong, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Advances in deep learning intrusion detection over encrypted data with privacy preservation: a systematic review
Fatma Hendaoui, Ahlem Ferchichi, Lamia Trabelsi, et al.
Cluster Computing (2024) Vol. 27, Iss. 7, pp. 8683-8724
Closed Access | Times Cited: 1

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