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 Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
Li Yang, Abdallah Shami
IEEE Internet of Things Magazine (2021) Vol. 4, Iss. 2, pp. 96-101
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
Khalid Albulayhi, Qasem Abu Al‐Haija, Suliman A. Alsuhibany, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5015-5015
Open Access | Times Cited: 116

ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
Qasem Abu Al‐Haija, Muawya N. Al Dalaien
Journal of Sensor and Actuator Networks (2022) Vol. 11, Iss. 1, pp. 18-18
Open Access | Times Cited: 97

A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
Li Yang, Abdallah Shami
ICC 2022 - IEEE International Conference on Communications (2022), pp. 2774-2779
Open Access | Times Cited: 77

Host-based IDS: A review and open issues of an anomaly detection system in IoT
Inês Martins, João S. Resende, Patrícia R. Sousa, et al.
Future Generation Computer Systems (2022) Vol. 133, pp. 95-113
Closed Access | Times Cited: 67

Ensemble-Learning Framework for Intrusion Detection to Enhance Internet of Things’ Devices Security
Yazeed Alotaibi, Mohammad Ilyas
Sensors (2023) Vol. 23, Iss. 12, pp. 5568-5568
Open Access | Times Cited: 40

Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning
Franklin Oliveira, Daniel G. Costa, Flávio Assis, et al.
Internet of Things (2024) Vol. 26, pp. 101153-101153
Open Access | Times Cited: 27

IoT-enabled smart cities: a hybrid systematic analysis of key research areas, challenges, and recommendations for future direction
Hossein Omrany, Karam M. Al-Obaidi, Mohataz Hossain, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 16

IoT data analytics in dynamic environments: From an automated machine learning perspective
Li Yang, Abdallah Shami
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105366-105366
Open Access | Times Cited: 48

Zero-touch networks: Towards next-generation network automation
Mirna El Rajab, Li Yang, Abdallah Shami
Computer Networks (2024) Vol. 243, pp. 110294-110294
Open Access | Times Cited: 13

PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams
Li Yang, Dimitrios Michael Manias, Abdallah Shami
2015 IEEE Global Communications Conference (GLOBECOM) (2021), pp. 01-06
Open Access | Times Cited: 45

An Intrusion Detection and Classification System for IoT Traffic with Improved Data Engineering
Abdulaziz A. Alsulami, Qasem Abu Al‐Haija, Ahmad Tayeb, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12336-12336
Open Access | Times Cited: 33

Concept Drift Detection Based on Deep Neural Networks and Autoencoders
Lisha Hu, Y. P. Lu, Yuehua Feng
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3056-3056
Open Access

MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles
Li Yang, Abdallah Moubayed, Abdallah Shami
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 1, pp. 616-632
Open Access | Times Cited: 38

Enhancement performance of random forest algorithm via one hot encoding for IoT IDS
Adil Yousef Hussein, Paolo Falcarin, Ahmed T. Sadiq
Periodicals of Engineering and Natural Sciences (PEN) (2021) Vol. 9, Iss. 3, pp. 579-579
Open Access | Times Cited: 35

LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles
Li Yang, Abdallah Shami, G.C. Stevens, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2022), pp. 3545-3550
Open Access | Times Cited: 23

Adaptive short-term wind power forecasting with concept drifts
Yanting Li, Zhenyu Wu, Yan Su
Renewable Energy (2023) Vol. 217, pp. 119146-119146
Closed Access | Times Cited: 12

Online Learning Algorithm Based on Streaming Data
丽丽 张
Advances in Applied Mathematics (2025) Vol. 14, Iss. 02, pp. 463-473
Closed Access

CAEAID: An incremental contrast learning-based intrusion detection framework for IoT networks
Zinuo Yin, Hongchang Chen, Hailong Ma, et al.
Computer Networks (2025), pp. 111161-111161
Closed Access

GEN-DRIFT: Generative AI-driven drift handling for beyond 5G networks
Venkateswarlu Gudepu, Bhargav Chirumamilla, Venkatarami Reddy Chintapalli, et al.
Computer Networks (2025), pp. 111237-111237
Closed Access

Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection
Li Yang, Abdallah Moubayed, Abdallah Shami, et al.
IEEE Transactions on Network and Service Management (2021) Vol. 19, Iss. 1, pp. 686-705
Open Access | Times Cited: 31

Concept Drift Detection in Federated Networked Systems
Dimitrios Michael Manias, Ibrahim Shaer, Li Yang, et al.
2015 IEEE Global Communications Conference (GLOBECOM) (2021)
Open Access | Times Cited: 29

Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network
Ming Zhou, Jie Lü, Yiliao Song, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12828-12841
Closed Access | Times Cited: 12

A novel anomaly detection approach based on ensemble semi-supervised active learning (ADESSA)
Zequn Niu, Xu‐Guang Guo, Jingfeng Xue, et al.
Computers & Security (2023) Vol. 129, pp. 103190-103190
Closed Access | Times Cited: 11

Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study
Chen‐Fu Chien, Chien-Chun Ku, Yiyun Lu
Computers & Industrial Engineering (2023) Vol. 185, pp. 109670-109670
Closed Access | Times Cited: 10

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