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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:

Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach
Trương Thu Hương, Ta Phuong Bac, Dao Minh Long, et al.
Computers in Industry (2021) Vol. 132, pp. 103509-103509
Open Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges
Gen Li, Jason J. Jung
Information Fusion (2022) Vol. 91, pp. 93-102
Closed Access | Times Cited: 146
Design and Development of RNN Anomaly Detection Model for IoT Networks
Imtiaz Ullah, Qusay H. Mahmoud
IEEE Access (2022) Vol. 10, pp. 62722-62750
Open Access | Times Cited: 134
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks
Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi, et al.
Computers in Industry (2022) Vol. 144, pp. 103801-103801
Closed Access | Times Cited: 127
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems
Trương Thu Hương, Bac Phuong Ta, Quang Anh Le, et al.
Computers in Industry (2022) Vol. 140, pp. 103692-103692
Open Access | Times Cited: 81
Distributed Anomaly Detection in Smart Grids: A Federated Learning-Based Approach
J. Jithish, Bithin Alangot, Nagarajan Mahalingam, et al.
IEEE Access (2023) Vol. 11, pp. 7157-7179
Open Access | Times Cited: 78
SCADA vulnerabilities and attacks: A review of the state‐of‐the‐art and open issues
Manar Alanazi, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury
Computers & Security (2022) Vol. 125, pp. 103028-103028
Open Access | Times Cited: 72
A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems
Nicholas Jeffrey, Qing Tan, José R. Villar
Electronics (2023) Vol. 12, Iss. 15, pp. 3283-3283
Open Access | Times Cited: 54
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
Gustavo de Carvalho Bertoli, Lourenço Alves Pereira, Osamu Saotome, et al.
Computers & Security (2023) Vol. 127, pp. 103106-103106
Open Access | Times Cited: 48
Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems
Trương Thu Hương, Ta Phuong Bac, Kieu Ngan Ha, et al.
IEEE Access (2022) Vol. 10, pp. 53854-53872
Open Access | Times Cited: 52
Federated-SRUs: A Federated-Simple-Recurrent-Units-Based IDS for Accurate Detection of Cyber Attacks Against IoT-Augmented Industrial Control Systems
Izhar Ahmed Khan, Dechang Pi, Muhammad Zahid Abbas, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 10, pp. 8467-8476
Closed Access | Times Cited: 41
Industrial cyber-physical systems protection: A methodological review
Roberto Canonico, Giancarlo Sperlì
Computers & Security (2023) Vol. 135, pp. 103531-103531
Open Access | Times Cited: 23
Synchronizing Object Detection: Applications, Advancements and Existing Challenges
Md. Tanzib Hosain, Asif Zaman, Mushfiqur Rahman Abir, et al.
IEEE Access (2024) Vol. 12, pp. 54129-54167
Open Access | Times Cited: 9
A review of federated learning applications in intrusion detection systems
Aitor Belenguer, José A. Pascual, Javier Navaridas
Computer Networks (2025), pp. 111023-111023
Open Access | Times Cited: 1
Federated learning at the edge in Industrial Internet of Things: A review
Sunil Kumar, Maryam Vahabi, Hossein Fotouhi
Sustainable Computing Informatics and Systems (2025), pp. 101087-101087
Open Access | Times Cited: 1
Security and privacy of industrial big data: Motivation, opportunities, and challenges
Naveed Anjum, Zohaib Latif, Hongsong Chen
Journal of Network and Computer Applications (2025) Vol. 237, pp. 104130-104130
Closed Access | Times Cited: 1
An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things
Amir Namavar Jahromi, Hadis Karimipour, Ali Dehghantanha
Computer Communications (2022) Vol. 198, pp. 108-116
Closed Access | Times Cited: 33
Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment
Nenavath Chander, M. Upendra Kumar
Cluster Computing (2022) Vol. 26, Iss. 3, pp. 1801-1819
Closed Access | Times Cited: 30
EEFED: Personalized Federated Learning of Execution&Evaluation Dual Network for CPS Intrusion Detection
Xianting Huang, Jing Liu, Yingxu Lai, et al.
IEEE Transactions on Information Forensics and Security (2022) Vol. 18, pp. 41-56
Open Access | Times Cited: 29
Privacy-Preserving Adaptive Resilient Consensus for Multiagent Systems Under Cyberattacks
C. F. Ying, Ning Zheng, Yiming Wu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1630-1640
Closed Access | Times Cited: 21
IDSoft: A federated and softwarized intrusion detection framework for massive internet of things in 6G network
Asma Alotaibi, Ahmed Barnawi
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101575-101575
Open Access | Times Cited: 17
Anomaly Detection for Industrial Internet of Things Cyberattacks
Rehab Alanazi, Ahamed Aljuhani
Computer Systems Science and Engineering (2022) Vol. 44, Iss. 3, pp. 2361-2378
Open Access | Times Cited: 27
Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders
Majdi I. Radaideh, Chris H. Pappas, Jared Walden, et al.
Digital Signal Processing (2022) Vol. 130, pp. 103704-103704
Open Access | Times Cited: 27
Decentralized Federated Learning for Internet of Things Anomaly Detection
Zhuotao Lian, Chunhua Su
Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security (2022)
Closed Access | Times Cited: 26
A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios
Yanzhi Wang, Jinhong Wu, Ziyang Yu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107091-107091
Closed Access | Times Cited: 14
A review of on-device machine learning for IoT: An energy perspective
Nazlı Tekin, Ahmet Arış, Abbas Acar, et al.
Ad Hoc Networks (2023) Vol. 153, pp. 103348-103348
Closed Access | Times Cited: 14
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