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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:

Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
Gustavo de Carvalho Bertoli, Lourenço Alves Pereira, Osamu Saotome, et al.
Computers & Security (2023) Vol. 127, pp. 103106-103106
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability
Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Mohamad Abou Houran, et al.
Ad Hoc Networks (2024) Vol. 155, pp. 103407-103407
Open Access | Times Cited: 43
Efficient intrusion detection toward IoT networks using cloud–edge collaboration
Run Yang, Hui He, Yixiao Xu, et al.
Computer Networks (2023) Vol. 228, pp. 109724-109724
Closed Access | Times Cited: 28
Securing a Smart Home with a Transformer-Based IoT Intrusion Detection System
Minxiao Wang, Ning Yang, Ning Weng
Electronics (2023) Vol. 12, Iss. 9, pp. 2100-2100
Open Access | Times Cited: 25
A novel deep learning-based intrusion detection system for IoT DDoS security
Selman Hızal, Ünal Çavuşoğlu, Devrim Akgün
Internet of Things (2024) Vol. 28, pp. 101336-101336
Closed Access | Times Cited: 7
Network-based Intrusion Detection Through Image-based CNN and Transfer Learning
Pedro Horchulhack, Eduardo K. Viegas, Altair O. Santin, et al.
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 386-391
Closed Access | Times Cited: 6
A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges
Manu Narula, Jasraj Meena, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108128-108128
Closed Access | Times Cited: 5
Enhancing cybersecurity in Edge IIoT networks: An asynchronous federated learning approach with a deep hybrid detection model
Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Mohamad Abou Houran, et al.
Internet of Things (2024) Vol. 27, pp. 101252-101252
Open Access | Times Cited: 5
Semi-asynchronous federated learning-based privacy-preserving intrusion detection for advanced metering infrastructure
Zhuoqun Xia, Hongmei Zhou, Zhenzhen Hu, et al.
International Journal of Critical Infrastructure Protection (2025) Vol. 49, pp. 100742-100742
Closed Access
Chitosan-based materials for emerging contaminants removal: Bibliometric analysis, research progress, and directions
Chong Liu, Grégorio Crini, Éric Lichtfouse, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107327-107327
Closed Access
MAGRU-IDS: A Multi-Head Attention-Based Gated Recurrent Unit for Intrusion Detection in IIoT Networks
Safi Ullah, Wadii Boulila, Anis Koubâa, et al.
IEEE Access (2023) Vol. 11, pp. 114590-114601
Open Access | Times Cited: 13
A novel multi-scale CNN and Bi-LSTM arbitration dense network model for low-rate DDoS attack detection
Xiaochun Yin, Fang Wei, Zengguang Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
SIDS: A federated learning approach for intrusion detection in IoT using Social Internet of Things
Mohammad Amiri-Zarandi, Rozita Dara, Xiaodong Lin
Computer Networks (2023) Vol. 236, pp. 110005-110005
Closed Access | Times Cited: 11
A Novel Mechanism for Misbehavior Detection in Vehicular Networks
Edivaldo Pastori Valentini, Geraldo P. Rocha Filho, Robson E. De Grande, et al.
IEEE Access (2023) Vol. 11, pp. 68113-68126
Open Access | Times Cited: 10
Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption
C. U. Om Kumar, Sudhakaran Gajendran, Suguna Marappan
IEEE Access (2024) Vol. 12, pp. 24879-24893
Open Access | Times Cited: 3
Condition Monitoring and Predictive Maintenance of Assets in Manufacturing Using LSTM-Autoencoders and Transformer Encoders
Xanthi Bampoula, Nikolaos Nikolakis, Kosmas Alexopoulos
Sensors (2024) Vol. 24, Iss. 10, pp. 3215-3215
Open Access | Times Cited: 3
Anomaly-Based Intrusion Detection System for In-Flight and Network Security in UAV Swarm
Leandro Marcos da Silva, Isadora Garcia Ferrão, Catherine Dezan, et al.
2022 International Conference on Unmanned Aircraft Systems (ICUAS) (2023), pp. 812-819
Closed Access | Times Cited: 9
Class imbalance and concept drift invariant online botnet threat detection framework for heterogeneous IoT edge
A Nitish, J. Hanumanthappa, S. P. Shiva Prakash, et al.
Computers & Security (2024) Vol. 141, pp. 103820-103820
Closed Access | Times Cited: 2
A Holistic review and performance evaluation of unsupervised learning methods for network anomaly detection
Niharika Sharma, Bhavna Arora, Shabana R. Ziyad, et al.
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers
C. Rajathi, P. Rukmani
Alexandria Engineering Journal (2024) Vol. 112, pp. 384-396
Open Access | Times Cited: 2
Machine Learning on Public Intrusion Datasets: Academic Hype or Concrete Advances in NIDS?
Marta Catillo, Antonio Pecchia, Umberto Villano
(2023)
Closed Access | Times Cited: 5
Mitigating data imbalance to improve the generalizability in IoT DDoS detection tasks
Qing Yi, Xiangyu Liu, Yanhui Du
The Journal of Supercomputing (2023) Vol. 80, Iss. 7, pp. 9935-9960
Closed Access | Times Cited: 5
Improving Generalization of ML-based IDS with Lifecycle-based Dataset, Auto-Learning Features, and Deep Learning
Didik Sudyana, Ying‐Dar Lin, Miel Verkerken, et al.
IEEE Transactions on Machine Learning in Communications and Networking (2024) Vol. 2, pp. 645-662
Closed Access | Times Cited: 1
Exploring the effect of training-time randomness on the performance of deep neural networks for intrusion detection
Marta Catillo, Antonio Pecchia, Umberto Villano
Soft Computing (2024) Vol. 28, Iss. 3, pp. 1957-1969
Closed Access | Times Cited: 1
Advances in deep learning intrusion detection over encrypted data with privacy preservation: a systematic review
Fatma Hendaoui, Ahlem Ferchichi, Lamia Trabelsi, et al.
Cluster Computing (2024) Vol. 27, Iss. 7, pp. 8683-8724
Closed Access | Times Cited: 1
Harnessing federated learning for anomaly detection in supercomputer nodes
Emmen Farooq, Michela Milano, Andrea Borghesi
Future Generation Computer Systems (2024) Vol. 161, pp. 673-685
Closed Access | Times Cited: 1
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