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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:

Federated Learning-based Misbehaviour detection on an emergency message dissemination scenario for the 6G-enabled Internet of Vehicles
L. Jai Vinita, V. Vetriselvi
Ad Hoc Networks (2023) Vol. 144, pp. 103153-103153
Closed Access | Times Cited: 23

Showing 23 citing articles:

Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution
Bin Cao, Jianwei Zhao, Xin Liu, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 7
Closed Access | Times Cited: 8
Federated learning-based misbehavior classification system for VANET intrusion detection
Devendra S. Gurjar, Jyoti Grover, Vanisha Kheterpal, et al.
Journal of Intelligent Information Systems (2025)
Closed Access
Federated learning for secure and efficient vehicular communications in open RAN
Muhammad Asad, Saima Shaukat, Jin Nakazato, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
Security of 6G-Enabled Vehicle-to-Everything Communication in Emerging Federated Learning and Blockchain Technologies
Myoungsu Kim, Insu Oh, Kangbin Yim, et al.
IEEE Access (2023) Vol. 12, pp. 33972-34001
Open Access | Times Cited: 13
A Novel Mechanism for Misbehavior Detection in Vehicular Networks
Edivaldo Pastori Valentini, Geraldo P. Rocha Filho, Robson E. De Grande, et al.
IEEE Access (2023) Vol. 11, pp. 68113-68126
Open Access | Times Cited: 10
The future service scenarios of 6G telecommunications technology
Hyunjin Shin, Sang‐Hyun Park, Leehee Kim, et al.
Telecommunications Policy (2023) Vol. 48, Iss. 2, pp. 102678-102678
Closed Access | Times Cited: 10
Federated Learning for Intrusion Detection Systems in Internet of Vehicles: A General Taxonomy, Applications, and Future Directions
Jadil Alsamiri, Khalid Alsubhi
Future Internet (2023) Vol. 15, Iss. 12, pp. 403-403
Open Access | Times Cited: 10
A Taxonomy and Analysis of Misbehaviour Detection in Cooperative Intelligent Transport Systems: A Systematic Review
Mohamed Ahzam Amanullah, Seng W. Loke, Mohan Baruwal Chhetri, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-38
Closed Access | Times Cited: 9
Proposed Supercluster-Based UMBBFS Routing Protocol for Emergency Message Dissemination in Edge-RSU for 5G VANET
Ma'ath Abdulla A. Arabi Albeyar, Ikram Smaoui, Hassène Mnif, et al.
Computers (2024) Vol. 13, Iss. 8, pp. 208-208
Open Access | Times Cited: 2
Blockchain and AI for Collaborative Intrusion Detection in 6G-enabled IoT Networks
Massinissa Chelghoum, Gueltoum Bendiab, Mohamed Aymen Labiod, et al.
(2024), pp. 179-184
Closed Access | Times Cited: 2
Private and utility enhanced intrusion detection based on attack behavior analysis with local differential privacy on IoV
Rui Chen, Xiaoyu Chen, Jing Zhao
Computer Networks (2024) Vol. 250, pp. 110560-110560
Closed Access | Times Cited: 1
PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network
Made Adi Paramartha Putra, Nyoman Karna, Revin Naufal Alief, et al.
IEEE Access (2024) Vol. 12, pp. 82413-82426
Open Access | Times Cited: 1
FBMP-IDS: FL-Based Blockchain-Powered Lightweight MPC-Secured IDS for 6G Networks
Sabrina Sakraoui, Ahmed Ahmim, Makhlouf Derdour, et al.
IEEE Access (2024) Vol. 12, pp. 105887-105905
Open Access | Times Cited: 1
A Review and Bibliometric Analysis of the Current Studies for the 6G Networks
Qusay Medhat Salih, Md. Arafatur Rahman, Ahmad Firdaus, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 3, pp. 2165-2206
Open Access
Federated Learning in Automated Vehicles
Sonal Shamkuwar, Arijit Mondal, Rohan More, et al.
(2024), pp. 301-314
Closed Access
A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
Abdelaziz Amara Korba, Souad Sebaa, Malik Mabrouki, et al.
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 1773-1778
Open Access
Comparative Analysis of Machine Learning Techniques for Enhanced Vehicle Tracking and Analysis
Seema Rani, Sandeep Dalal
Transportation Engineering (2024), pp. 100271-100271
Open Access
The Impact of Federated Learning on Urban Computing
José R. F. Souza, Shéridan Z. L. N. Oliveira, Helder Oliveira
Journal of Internet Services and Applications (2024) Vol. 15, Iss. 1, pp. 380-409
Open Access
AutoMHS-GPT: Automação de Seleção de Modelos e Hiperparâmetros por meio de Modelo Generativo para Detecção de Anomalias em Redes Veiculares
Lucas Airam Castro de Souza, Matteo Sammarco, Nadjib Achir, et al.
(2024), pp. 952-965
Open Access
Advanced optical modulation for integrated computing and networking toward 6G requirement
Zhou He, Hao Huang, Peng Zhang, et al.
Chinese Optics Letters (2024) Vol. 22, Iss. 11, pp. 110603-110603
Closed Access
IoVST: An anomaly detection method for IoV based on spatiotemporal feature fusion
Jinhui Cao, Xiaoqiang Di, Jinqing Li, et al.
Future Generation Computer Systems (2024), pp. 107636-107636
Closed Access
Tackling Sybil Attacks in Intelligent connected vehicles: A Review of Machine Learning and Deep Learning Techniques
Yongchao Zhong, Bo Yang, Ying Li, et al.
(2023)
Closed Access | Times Cited: 1
SEAFL: Transforming Federated Learning for Enhanced Privacy in 6G-Enabled Vehicles
L. Jai Vinita, V. Vetriselvi
(2023), pp. 1-8
Closed Access | Times Cited: 1
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