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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 deep learning for anomaly detection in the internet of things
Xiaofeng Wang, Yonghong Wang, Zahra Javaheri, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108651-108651
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks
Vijayalakshmi Kandasamy, A. Ameelia Roseline
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning
Umesh Kumar Lilhore, Surjeet Dalal, Sarita Simaiya
Computers & Security (2023) Vol. 136, pp. 103560-103560
Closed Access | Times Cited: 26
A Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions
Kwok Tai Chui, Brij B. Gupta, Jiaqi Liu, et al.
Information (2023) Vol. 14, Iss. 7, pp. 388-388
Open Access | Times Cited: 22
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, et al.
IEEE Communications Surveys & Tutorials (2024), pp. 1-1
Open Access | Times Cited: 10
GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening
Iacovos Ioannou, Prabagarane Nagaradjane, Pelin Angın, et al.
Computer Communications (2024) Vol. 218, pp. 209-239
Closed Access | Times Cited: 7
Collaborative Botnet Detection in Heterogeneous Devices of Internet of Things using Federated Deep Learning
Aulia Arif Wardana, Parman Sukarno, Muhammad Salman
(2024), pp. 287-291
Open Access | Times Cited: 5
Federated Learning-enabled Network Incident Anomaly Detection Optimization for Drone Swarms
Kevin Kostage, R S Adepu, Jenaya Monroe, et al.
(2025), pp. 104-114
Closed Access
FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection
Van Tuan Nguyen, Răzvan Beuran
Computers & Security (2025), pp. 104337-104337
Closed Access
Review of filtering based feature selection for Botnet detection in the Internet of Things
Mohamed Saied, Shawkat K. Guirguis, Magda M. Madbouly
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction
Shumaila Hussain, Muhammad Nadeem, Junaid Baber, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Intelligent chatbot interaction system capable for sentimental analysis using hybrid machine learning algorithms
Ma Dongbo, Sami Miniaoui, Fen Li, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103440-103440
Closed Access | Times Cited: 10
Billiard based optimization with deep learning driven anomaly detection in internet of things assisted sustainable smart cities
P. Manickam, M. Girija, Sailesh Sathish, et al.
Alexandria Engineering Journal (2023) Vol. 83, pp. 102-112
Open Access | Times Cited: 8
Edge-assisted federated learning for anomaly detection in diverse IoT network
Priya Sharma, Sanjay Kumar Sharma, Diksha Dani
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Anomaly detection framework for highly scattered and dynamic data on large-scale networks using AWS
Richa Singh, Nidhi Srivastava, Ashwani Kumar
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Federated Learning enabled software-defined optical network with intelligent control plane architecture
Srija Chakraborty, Ashok Kumar Turuk, Bibhudatta Sahoo
Computers & Electrical Engineering (2024) Vol. 118, pp. 109329-109329
Closed Access | Times Cited: 2
Mathematical model and artificial intelligence for diagnosis of Alzheimer’s disease
Afsaneh Davodabadi, B. Daneshian, Saber Saati, et al.
The European Physical Journal Plus (2023) Vol. 138, Iss. 5
Open Access | Times Cited: 7
Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection
Demóstenes Zegarra Rodríguez, Ogobuchi Daniel Okey, Siti Sarah Maidin, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0286652-e0286652
Open Access | Times Cited: 7
A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems
Kimleang Kea, Youngsun Han, Young-Jae Min
IEEE Access (2024) Vol. 12, pp. 67525-67536
Open Access | Times Cited: 2
Deep learning applications in the Internet of Things: a review, tools, and future directions
Parisa Raoufi, Atefeh Hemmati, Amir Masoud Rahmani
Evolutionary Intelligence (2024)
Closed Access | Times Cited: 2
A framework for anomaly classification in Industrial Internet of Things systems
Martha Rodríguez, Diana P. Tobón, Danny Múnera
Internet of Things (2024), pp. 101446-101446
Open Access | Times Cited: 2
Air pollution prediction system using XRSTH-LSTM algorithm
Harshit Srivastava, Santos Kumar Das
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 60, pp. 125313-125327
Closed Access | Times Cited: 4
A Network Intrusion Detection Method for Various Information Systems Based on Federated and Deep Learning
Qi Zhou, Chun Shi
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-28
Open Access | Times Cited: 1
An efficient algorithm for data transmission certainty in IIoT sensing network: A priority-based approach
Kemal Gökhan NALBANT, Sultan Almutairi, Asma Hassan Alshehri, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0305092-e0305092
Open Access | Times Cited: 1
Enhanced federated anomaly detection through autoencoders using summary statistics-based thresholding
Sofiane Laridi, Gregory M. Palmer, Kam-Ming Mark Tam
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Communication-efficient federated multi-domain learning for network anomaly detection
Chunjiong Zhang, Gaoyang Shan, Byeong‐hee Roh
Digital Communications and Networks (2024)
Open Access | Times Cited: 1
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