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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:

Anomaly detection for fault detection in wireless community networks using machine learning
Llorenç Cerdà‐Alabern, Gabriel Iuhasz, Gabriele Gemmi
Computer Communications (2023) Vol. 202, pp. 191-203
Open Access | Times Cited: 19

Showing 19 citing articles:

Nonlinear Model Predictive Control Energy Management Strategy for Hybrid Power Ships Based on Working Condition Identification
Yucheng Yan, Zhichao Chen, Diju Gao
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 269-269
Open Access | Times Cited: 1
Enhancing Intrusion Detection in Wireless Sensor Networks Using a GSWO-CatBoost Approach
Thuan Minh Nguyen, Hanh Hong-Phuc Vo, Myungsik Yoo
Sensors (2024) Vol. 24, Iss. 11, pp. 3339-3339
Open Access | Times Cited: 6
A Novel Framework for Credit Card Fraud Detection
Ayoub Mniai, Mouna Tarik, Khalid Jebari
IEEE Access (2023) Vol. 11, pp. 112776-112786
Open Access | Times Cited: 13
Data Anomaly Detection in Wireless Sensor Network Using Principal Component Analysis and Decision Tree
Rahul Mishra, S. Jha
Communications in computer and information science (2025), pp. 114-124
Closed Access
Enhancing Metro Rail Efficiency: A Predictive Maintenance Approach Leveraging Machine Learning and Deep Learning Technologies
Vishak Nair, M. Premalatha, R. Srinivasa Perumal, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
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
Network Intrusion Detection Using Knapsack Optimization, Mutual Information Gain, and Machine Learning
Akindele Segun Afolabi, Olubunmi Adewale Akinola
Journal of Electrical and Computer Engineering (2024) Vol. 2024, pp. 1-21
Open Access | Times Cited: 2
Machine Learning in Action: An Analysis of its Application for Fault Detection in Wireless Sensor Networks
Aigul Adamova, Tamara Zhukabayeva, Yerik Mardenov
2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) (2023), pp. 506-511
Closed Access | Times Cited: 4
Inverse Coupled Simulated Annealing for Enhanced OSPF Convergence in IoT Networks
Chengsheng Pan, Huangjie Lu, Huaifeng Shi, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4332-4332
Open Access | Times Cited: 1
Dataset for anomaly detection in a production wireless mesh community network
Llorenç Cerdà‐Alabern, Gabriel Iuhasz
Data in Brief (2023) Vol. 49, pp. 109342-109342
Open Access | Times Cited: 3
Enhancing Fault Detection in Wireless Sensor Networks Through Support Vector Machines: A Comprehensive Study
Yerik Mardenov, Aigul Adamova, Tamara Zhukabayeva, et al.
Journal of Robotics and Control (JRC) (2023) Vol. 4, Iss. 6, pp. 868-877
Open Access | Times Cited: 3
Evaluating the Performance and Challenges of Machine Learning Models in Network Anomaly Detection
Sakshi Bakhare, Sudhir W. Mohod
International Journal of Scientific Research in Science Engineering and Technology (2024) Vol. 11, Iss. 3, pp. 42-52
Open Access
Approaches to Detecting Threats in Wireless Sensor Networks for Data Transmission Security
M. Karthikeyan, S. Thanga Revathi
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-7
Closed Access
Bi-objective model for community detection in weighted complex networks
Gilberto-Sinuhe Torres-Cockrell, Román Anselmo Mora-Gutíerrez, Eric Alfredo Rincón-García, et al.
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (2024) Vol. 11, Iss. 4
Open Access
Explainable Stacking Models based on Complementary Traffic Embeddings
Luca Gioacchini, Welton Santos, Barbara Lopes, et al.
(2024), pp. 261-272
Closed Access
Anomaly detection and confidence interval‐based replacement in decay state coefficient of ship power system
Xingshan Chang, Xinping Yan, Bohua Qiu, et al.
IET Intelligent Transport Systems (2024)
Open Access
Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities
S. Abisheg, M. R. Gauthama Raman, Aditya P. Mathur
Communications in computer and information science (2024), pp. 218-228
Closed Access
Robust Methodology Design to Detect Anomalies Over Wireless Sensor Networks Using Predictive Learning Strategy
R Rajeshwari, Ajai Athithya, M Gowthamkumar, et al.
(2024), pp. 1-7
Closed Access
Performance and Compliance Anomaly Detection
Gabriel Iuhasz
(2023), pp. 20-25
Closed Access
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