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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 1-25 of 84 citing articles:

Fusion of Federated Learning and Industrial Internet of Things: A survey
M. Parimala, Swarna Priya Ramu, Quoc‐Viet Pham, et al.
Computer Networks (2022) Vol. 212, pp. 109048-109048
Open Access | Times Cited: 181
Precision Irrigation Management Using Machine Learning and Digital Farming Solutions
Abiodun Emmanuel Abioye, Oliver Hensel, Travis J. Esau, et al.
AgriEngineering (2022) Vol. 4, Iss. 1, pp. 70-103
Open Access | Times Cited: 146
A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network
Randhir Kumar, Prabhat Kumar, Rakesh Tripathi, et al.
Journal of Parallel and Distributed Computing (2022) Vol. 164, pp. 55-68
Closed Access | Times Cited: 108
Malware Analysis and Detection Using Machine Learning Algorithms
Muhammad Shoaib Akhtar, Tao Feng
Symmetry (2022) Vol. 14, Iss. 11, pp. 2304-2304
Open Access | Times Cited: 89
P2TIF: A Blockchain and Deep Learning Framework for Privacy-Preserved Threat Intelligence in Industrial IoT
Prabhat Kumar, Randhir Kumar, Govind P. Gupta, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 9, pp. 6358-6367
Closed Access | Times Cited: 84
Smart and sustainable agriculture: Fundamentals, enabling technologies, and future directions
Yaser Jararweh, Sana Fatima, Moath Jarrah, et al.
Computers & Electrical Engineering (2023) Vol. 110, pp. 108799-108799
Closed Access | Times Cited: 66
The Impact of Adversarial Attacks on Federated Learning: A Survey
K. Naveen Kumar, C. Krishna Mohan, Linga Reddy Cenkeramaddi
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 5, pp. 2672-2691
Closed Access | Times Cited: 58
Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm
Hossein Asgharzadeh, Ali Ghaffari, Mohammad Masdari, et al.
Journal of Parallel and Distributed Computing (2023) Vol. 175, pp. 1-21
Closed Access | Times Cited: 57
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu, Fan Dong, Henry Leung, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-41
Open Access | Times Cited: 21
Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
Ηλίας Δρίτσας, Μαρία Τρίγκα
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 1, pp. 9-9
Open Access | Times Cited: 2
Fairness and privacy preserving in federated learning: A survey
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, et al.
Information Fusion (2023) Vol. 105, pp. 102198-102198
Open Access | Times Cited: 28
Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions
Jean-Paul A. Yaacoub, Hassan Noura, Ola Salman
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 155-179
Open Access | Times Cited: 27
Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
Danish Javeed, Muhammad Shahid Saeed, Ijaz Ahmad, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 577-597
Open Access | Times Cited: 9
BDTwin: An Integrated Framework for Enhancing Security and Privacy in Cybertwin-Driven Automotive Industrial Internet of Things
Randhir Kumar, Prabhat Kumar, Rakesh Tripathi, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 18, pp. 17110-17119
Closed Access | Times Cited: 40
PPSS: A privacy-preserving secure framework using blockchain-enabled federated deep learning for Industrial IoTs
Djallel Hamouda, Mohamed Amine Ferrag, Nadjette Benhamida, et al.
Pervasive and Mobile Computing (2022) Vol. 88, pp. 101738-101738
Closed Access | Times Cited: 31
Design and Implementation of SEMAR IoT Server Platform with Applications
Yohanes Yohanie Fridelin Panduman, Nobuo Funabiki, Pradini Puspitaningayu, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6436-6436
Open Access | Times Cited: 30
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
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 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
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
FedBirdAg: A Low-Energy Federated Learning Platform for Bird Detection with Wireless Smart Cameras in Agriculture 4.0
Samy Benhoussa, Gil de Sousa, Jean-Pierre Chanet
AI (2025) Vol. 6, Iss. 4, pp. 63-63
Open Access
Deep malware detection framework for IoT-based smart agriculture
Santosh K. Smmarwar, Govind P. Gupta, Sanjay Kumar
Computers & Electrical Engineering (2022) Vol. 104, pp. 108410-108410
Closed Access | Times Cited: 24
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
Image-based crop disease detection with federated learning
Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
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