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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:

Engineering the application of machine learning in an IDS based on IoT traffic flow
Nuno Prazeres, Rogério Luís de C. Costa, Leonel Santos, et al.
Intelligent Systems with Applications (2023) Vol. 17, pp. 200189-200189
Open Access | Times Cited: 20

Showing 20 citing articles:

The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review
Irshaad Jada, Thembekile O. Mayayise
Data and Information Management (2023) Vol. 8, Iss. 2, pp. 100063-100063
Open Access | Times Cited: 31
GPT and Interpolation-Based Data Augmentation for Multiclass Intrusion Detection in IIoT
Francisco S. Melícias, Tiago Ribeiro, Carlos Rabadão, et al.
IEEE Access (2024) Vol. 12, pp. 17945-17965
Open Access | Times Cited: 10
Prospects of Cybersecurity in Smart Cities
Fernando Almeida
Future Internet (2023) Vol. 15, Iss. 9, pp. 285-285
Open Access | Times Cited: 17
Smart infrastructure design: Machine learning solutions for securing modern cities
Wei Shuhan, Yu Chengzhi, Liao Xiaoxiao, et al.
Sustainable Cities and Society (2024) Vol. 107, pp. 105439-105439
Closed Access | Times Cited: 6
Optimizing XGBoost hyperparameters using the dragonfly algorithm for enhanced cyber attack detection in the internet of healthcare things (IoHT)
SURBHI SURBHI, Nupa Ram Chauhan, Neeraj Dahiya
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
IoT Anomaly Detection to Strengthen Cybersecurity in the Critical Infrastructure of Smart Cities
William Villegas-Ch, Jaime Govea, Ángel Jaramillo-Alcázar
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10977-10977
Open Access | Times Cited: 10
Machine Learning Algorithms for Intrusion Detection in IoT Prediction and Performance Analysis
Ennaji Elmahfoud, Salah Elhajla, Yassine Maleh, et al.
Procedia Computer Science (2024) Vol. 236, pp. 460-467
Open Access | Times Cited: 3
IoMT-TrafficData: Dataset and Tools for Benchmarking Intrusion Detection in Internet of Medical Things
José Areia, Ivo Afonso Bispo, Leonel Santos, et al.
IEEE Access (2024) Vol. 12, pp. 115370-115385
Open Access | Times Cited: 3
Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency
Surjeet Dalal, Umesh Kumar Lilhore, Nidhi Sharma, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1939-e1939
Open Access | Times Cited: 2
Implementing and evaluating a GDPR-compliant open-source SIEM solution
A Vazao, Leonel Santos, Rogério Luís de C. Costa, et al.
Journal of Information Security and Applications (2023) Vol. 75, pp. 103509-103509
Open Access | Times Cited: 6
Exploring Lightweight Deep Learning Techniques for Intrusion Detection Systems in IoT Networks: A Survey
Hind Ali abdul Hassan
Deleted Journal (2024) Vol. 20, Iss. 4s, pp. 1944-1958
Open Access | Times Cited: 1
Overview of Mobile Attack Detection and Prevention Techniques Using Machine Learning
Ahmad K. Al Hwaitat, Hussam N. Fakhouri, Moatsum Alawida, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2024) Vol. 18, Iss. 10, pp. 125-157
Open Access | Times Cited: 1
Artificial Intelligence-Enabled Cybersecurity and Internet of Things Applications in Smart Cities
Wasswa Shafik
Advances in civil and industrial engineering book series (2024), pp. 301-334
Closed Access | Times Cited: 1
Analysis of Datasets for Machine Learning-Based Cybersecurity Models
Tarcízio Ferrão, Guedes António Caetano, Sidónio Cipriano Turra
(2024)
Closed Access
Farm-flow dataset: Intrusion detection in smart agriculture based on network flows
Rafael Ferreira, Ivo Afonso Bispo, Carlos Rabadão, et al.
Computers & Electrical Engineering (2024) Vol. 121, pp. 109892-109892
Open Access
COMPUTATIONALLY EFFICIENT DEEP FEDERATED LEARNING WITH OPTIMIZED FEATURE SELECTION FOR IOT BOTNET DETECTION
Lambert Kofi Gyan Danquah, Stanley Yaw Appiah, Victoria Adzovi Mantey, et al.
Intelligent Systems with Applications (2024), pp. 200462-200462
Open Access
Using Artificial Intelligence to Defend Internet of Things for Smart City Networks
Amy Nunn, P. W. C. Prasad
Lecture notes in electrical engineering (2024), pp. 345-367
Closed Access
Tackling Okiru Attacks in IoT with AI-Driven Detection and Mitigation Strategies
Aadil Khan, Ishu Sharma
(2023), pp. 336-341
Closed Access | Times Cited: 1
Machine Learning-based Traffic Classification and Channel Allocation in IoT: A Survey
Santosh Lavate, Priyeshu Srivastava
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023), pp. 1-7
Closed Access
Enhancing Identity and Access Management Systems with Behavioral Analytics: A Novel Approach to Detecting Anomalous Activities
Shanmugavelan Ramakrishnan
Journal of Engineering and Applied Sciences Technology (2022), pp. 1-7
Open Access
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