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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:

A Review of Machine Learning and Deep Learning Techniques for Anomaly Detection in IoT Data
Redhwan Al-amri, Raja Kumar Murugesan, Mustafa Man, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5320-5320
Open Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

Anomaly Detection in Connected and Autonomous Vehicles: A Survey, Analysis, and Research Challenges
Sihem Baccari, Mohamed Hadded, Hakim Ghazzai, et al.
IEEE Access (2024) Vol. 12, pp. 19250-19276
Open Access | Times Cited: 18
Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance
Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 29-29
Open Access | Times Cited: 46
Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey
Sehar Zehra, Ummay Faseeha, Hassan Jamil Syed, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5340-5340
Open Access | Times Cited: 24
Predictive Maintenance for Smart Industrial Systems: A Roadmap
Meriem Hafsi, Hamour Nora, Samir Ouchani
Procedia Computer Science (2023) Vol. 220, pp. 645-650
Open Access | Times Cited: 23
Improve quality of service for the Internet of Things using Blockchain & machine learning algorithms
Lawrence Nforh CheSuh, Ramón Ángel Fernández Díaz, Jose Manuel Alija-Perez, et al.
Internet of Things (2024) Vol. 26, pp. 101123-101123
Open Access | Times Cited: 13
Technology-enabled financing of sustainable infrastructure: A case for blockchains and decentralized oracle networks
Kenneth Hsien Yung Chung, Dan Li, Peter Adriaens
Technological Forecasting and Social Change (2022) Vol. 187, pp. 122258-122258
Closed Access | Times Cited: 31
Unsupervised Deep Learning for IoT Time Series
Ya Liu, Yingjie Zhou, Kai Yang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14285-14306
Open Access | Times Cited: 21
Analyzing Threats and Attacks in Edge Data Analytics within IoT Environments
Poornima Mahadevappa, Redhwan Al-amri, Gamal Alkawsi, et al.
IoT (2024) Vol. 5, Iss. 1, pp. 123-154
Open Access | Times Cited: 7
Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Future Internet (2024) Vol. 16, Iss. 9, pp. 324-324
Open Access | Times Cited: 7
Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework
Janmenjoy Nayak, Bighnaraj Naik, Pandit Byomakesha Dash, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 36, pp. 100805-100805
Closed Access | Times Cited: 23
Anomaly detection for streaming data based on grid-clustering and Gaussian distribution
Beiji Zou, Kangkang Yang, Xiaoyan Kui, et al.
Information Sciences (2023) Vol. 638, pp. 118989-118989
Closed Access | Times Cited: 15
Extension of LoRa Coverage and Integration of an Unsupervised Anomaly Detection Algorithm in an IoT Water Quality Monitoring System
Armando Daniel Blanco Jáquez, María Teresa Alarcón Herrera, Ana Elizabeth Marín Celestino, et al.
Water (2023) Vol. 15, Iss. 7, pp. 1351-1351
Open Access | Times Cited: 14
Anomaly Detection In IoT Sensor Data Using Machine Learning Techniques For Predictive Maintenance In Smart Grids
Edwin Omol, Lucy Waruguru Mburu, Dorcas Awino Onyango
International Journal Of Science Technology & Management (2024) Vol. 5, Iss. 1, pp. 201-210
Open Access | Times Cited: 6
Securing the Internet of Things in Logistics
Syed Nizam Ud Din, Syeda Mariam Muzammal, Ruqia Bibi, et al.
Advances in logistics, operations, and management science book series (2024), pp. 133-165
Closed Access | Times Cited: 5
Anomaly Detection of Water Level Using Deep Autoencoder
Isack Thomas Nicholaus, Jun Ryeol Park, Kyuil Jung, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6679-6679
Open Access | Times Cited: 30
Blockchain applications for Internet of Things (IoT): A review
Asif Ali Laghari, Hang Li, Shoulin Yin, et al.
Multiagent and Grid Systems (2024) Vol. 19, Iss. 4, pp. 363-379
Closed Access | Times Cited: 4
Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model
Sanjay Chakraborty, Saroj Kumar Pandey, Saikat Ranjan Maity, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access | Times Cited: 4
ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest
Andrey Ageev, Andrei V. Konstantinov, Lev V. Utkin
Informatics and Automation (2025) Vol. 24, Iss. 1, pp. 329-357
Open Access
Time series anomaly detection hybrid model based on SARIMA and LSTM
Wenjuan Wu, Mingqiang Guo, Shangfei Wang, et al.
Journal of Computing and Electronic Information Management (2025) Vol. 16, Iss. 1, pp. 63-69
Closed Access
Machine Learning Models for Anomaly Detection in Data Mining
S. Dhanalakshmi, Eswarappa Pradeep Bulagonda, Balusupati Anil Kumar, et al.
Cognitive science and technology (2025), pp. 149-161
Closed Access
Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data
Jin-Seong Choi, So-Won Choi, Eul‐Bum Lee
Sustainability (2023) Vol. 15, Iss. 9, pp. 7676-7676
Open Access | Times Cited: 10
A high-throughput architecture for anomaly detection in streaming data using machine learning algorithms
Chellammal Surianarayanan, Saranya Kunasekaran, Pethuru Raj Chelliah
International Journal of Information Technology (2023) Vol. 16, Iss. 1, pp. 493-506
Closed Access | Times Cited: 10
Unleashing the power of Bat optimized CNN-BiLSTM model for advanced network anomaly detection: Enhancing security and performance in IoT environments
Franciskus Antonius, J. C. Sekhar, Vuda Sreenivasa Rao, et al.
Alexandria Engineering Journal (2023) Vol. 84, pp. 333-342
Open Access | Times Cited: 10
An Analytical Paradigm for Exploration of Diabetes Using Machine Learning
Ritu Chauhan, Anurag Mishra, Ruchi Jakhmola Mani, et al.
2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM) (2025), pp. 1-8
Closed Access
Insights into user behavioral-based insider threat detection: systematic review
K. Kartheeban, E. Uma
International Journal of Information Security (2025) Vol. 24, Iss. 2
Closed Access
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