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 deep learning approach for intrusion detection in Internet of Things using focal loss function
Ayesha S. Dina, A. B. Siddique, D. Manivannan
Internet of Things (2023) Vol. 22, pp. 100699-100699
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: a survey
Saqib Ali, Qianmu Li, Abdullah Yousafzai
Ad Hoc Networks (2023) Vol. 152, pp. 103320-103320
Closed Access | Times Cited: 60

Enhancing IoT network security through deep learning-powered Intrusion Detection System
Shahid Allah Bakhsh, Muhammad Almas Khan, Fawad Ahmed, et al.
Internet of Things (2023) Vol. 24, pp. 100936-100936
Open Access | Times Cited: 59

A lightweight multi-vector DDoS detection framework for IoT-enabled mobile health informatics systems using deep learning
Aswani Devi Aguru, E. Suresh Babu
Information Sciences (2024) Vol. 662, pp. 120209-120209
Closed Access | Times Cited: 18

A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
Han Liao, Mohd Zamri Murah, Mohammad Kamrul Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 4745-4761
Open Access | Times Cited: 17

An explainable efficient flow-based Industrial IoT intrusion detection system
Mohammed M. Alani
Computers & Electrical Engineering (2023) Vol. 108, pp. 108732-108732
Closed Access | Times Cited: 25

Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks
Tarek Gaber, Joseph Bamidele Awotunde, Mohamed Torky, et al.
Internet of Things (2023) Vol. 24, pp. 100977-100977
Open Access | Times Cited: 22

Deep2Pep: A Deep Learning Method in Multi-label Classification of Bioactive Peptide
Lihua Chen, Zhenkang Hu, Yuzhi Rong, et al.
Computational Biology and Chemistry (2024), pp. 108021-108021
Closed Access | Times Cited: 10

Meta-IDS: Meta-Learning-Based Smart Intrusion Detection System for Internet of Medical Things (IoMT) Network
Umer Zukaib, Xiaohui Cui, Chengliang Zheng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23080-23095
Closed Access | Times Cited: 8

Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things
D. Manivannan
Journal of Network and Computer Applications (2024) Vol. 229, pp. 103925-103925
Closed Access | Times Cited: 8

A new concatenated Multigraph Neural Network for IoT intrusion detection
Tanzeela Altaf, Xu Wang, Wei Ni, et al.
Internet of Things (2023) Vol. 22, pp. 100818-100818
Closed Access | Times Cited: 16

VBQ-Net: A Novel Vectorization-Based Boost Quantized Network Model for Maximizing the Security Level of IoT System to Prevent Intrusions
Ganeshkumar Perumal, S. Gopalakrishnan, Qaisar Abbas, et al.
Systems (2023) Vol. 11, Iss. 8, pp. 436-436
Open Access | Times Cited: 16

Insights into Modern Intrusion Detection Strategies for Internet of Things Ecosystems
Bassey Isong, Otshepeng Kgote, Adnan M. Abu‐Mahfouz
Electronics (2024) Vol. 13, Iss. 12, pp. 2370-2370
Open Access | Times Cited: 6

A hybrid approach for efficient feature selection in anomaly intrusion detection for IoT networks
Aya G. Ayad, Nehal A. Sakr, Noha A. Hikal
The Journal of Supercomputing (2024) Vol. 80, Iss. 19, pp. 26942-26984
Open Access | Times Cited: 5

Feature efficiency in IoMT security: A comprehensive framework for threat detection with DNN and ML
Merve Pınar, A. Aktas, Eyüp Emre Ülkü
Computers in Biology and Medicine (2025) Vol. 186, pp. 109603-109603
Closed Access

Image steganalysis using active learning and hyperparameter optimization
Li Bohang, Ningxin Li, Jing Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

A Novel Approach to IoT Device Identification via Anti‐Interference Dynamic Integral Neural Network and Multiobjective Fitness‐Dependent Optimizer Algorithm
E. Anbalagan, M. Kanchana, G. Manikandan, et al.
International Journal of Communication Systems (2025) Vol. 38, Iss. 7
Closed Access

Network traffic inspection to enhance anomaly detection in the Internet of Things using attention-driven Deep Learning
Mireya Lucia Hernandez-Jaimes, Alfonso Martínez-Cruz, Kelsey Alejandra Ramírez-Gutiérrez, et al.
Integration (2025), pp. 102398-102398
Closed Access

IoT Intrusion Detection System Based on Machine Learning
Bayi Xu, Lei Sun, Xiuqing Mao, et al.
Electronics (2023) Vol. 12, Iss. 20, pp. 4289-4289
Open Access | Times Cited: 13

Strengthening Network Security: Deep Learning Models for Intrusion Detection with Optimized Feature Subset and Effective Imbalance Handling
Bayi Xu, Lei Sun, Xiuqing Mao, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 2, pp. 1995-2022
Open Access | Times Cited: 4

Design of a Federated Ensemble Model for Intrusion Detection in Distributed IIoT Networks for Enhancing Cybersecurity
Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, et al.
Journal of Industrial Information Integration (2025), pp. 100800-100800
Closed Access

Enhancing Object Detection with a Novel Fusion Framework Integrating Cnns, Seattention, and Multi-Scale Attention in Yolov11l
Md. Sakib Bin Islam, Muhammad E. H. Chowdhury, Sumaiya Islam, et al.
(2025)
Closed Access

Deep GraphSAGE enhancements for intrusion detection: Analyzing attention mechanisms and GCN integration
Samia Saidane, Francesco Telch, Kussai Shahin, et al.
Journal of Information Security and Applications (2025) Vol. 90, pp. 104013-104013
Open Access

Toward Personal Identification Using Multi-Angle-Captured Ear Images: A Feasibility Study
Ryoji Fukuda, Yuto Yokoyanagi, Chotirose Prathom, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3329-3329
Open Access

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