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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:

Feed-forward neural network for Network Intrusion Detection
Arnaud Rosay, Florent Carlier, Pascal Leroux
(2020), pp. 1-6
Closed Access | Times Cited: 23

Showing 23 citing articles:

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: 78
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
Anum Talpur, Mohan Gurusamy
IEEE Communications Surveys & Tutorials (2021) Vol. 24, Iss. 1, pp. 346-379
Open Access | Times Cited: 59
Federated intelligence of anomaly detection agent in IoTMD-enabled Diabetes Management Control System
Philip Virgil Astillo, Daniel Gerbi Duguma, Hoonyong Park, et al.
Future Generation Computer Systems (2021) Vol. 128, pp. 395-405
Closed Access | Times Cited: 42
TL-CNN-IDS: transfer learning-based intrusion detection system using convolutional neural network
Fengru Yan, Guanghua Zhang, Dongwen Zhang, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 15, pp. 17562-17584
Closed Access | Times Cited: 21
A transfer learning-based intrusion detection system for zero-day attack in communication-based train control system
Lu He, Yanan Zhao, Yajing Song, et al.
Cluster Computing (2024) Vol. 27, Iss. 6, pp. 8477-8492
Closed Access | Times Cited: 7
XAIEnsembleTL-IoV: A New eXplainable Artificial Intelligence Ensemble Transfer Learning for Zero-Day Botnet Attack Detection in the Internet of Vehicles
Yakub Kayode Saheed, Joshua Ebere Chukwuere
Results in Engineering (2024), pp. 103171-103171
Open Access | Times Cited: 6
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
Intrusion detection system for vehicular ad hoc network attacks based on machine learning techniques
Wasim A. Ali, Michèle Roccotelli, Gennaro Boggia, et al.
Information Security Journal A Global Perspective (2024) Vol. 33, Iss. 6, pp. 659-677
Closed Access | Times Cited: 5
Detection of IPv6 routing attacks using ANN and a novel IoT dataset
Murat Emeç
ETRI Journal (2025)
Open Access
TL-NID: Deep Neural Network with Transfer Learning for Network Intrusion Detection
Mohammad Masum, Hossain Shahriar
(2020), pp. 1-7
Closed Access | Times Cited: 30
A lightweight intrusion detection system for internet of vehicles based on transfer learning and MobileNetV2 with hyper-parameter optimization
Yingqing Wang, Guihe Qin, Mi Zou, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 22347-22369
Closed Access | Times Cited: 10
Intrusion Detection System Based on Machine Learning Algorithms: A Review
Sandy Victor Amanoul, Adnan Mohsin Abdulazeez
(2022)
Closed Access | Times Cited: 14
Intrusion Detection System for Vehicular Networks Based on MobileNetV3
Shaoqiang Wang, Y. Wang, Baosen Zheng, et al.
IEEE Access (2024) Vol. 12, pp. 106285-106302
Open Access | Times Cited: 1
SDToW: A Slowloris Detecting Tool for WMNs
Vinicius da Silva Faria, Jéssica Alcântara Gonçalves, Camilla Alves Mariano da Silva, et al.
Information (2020) Vol. 11, Iss. 12, pp. 544-544
Open Access | Times Cited: 11
Collaborative DDoS defense for SDN-based AIoT with autoencoder-enhanced federated learning
Jie Ma, Wei Su
Information Fusion (2024), pp. 102820-102820
Closed Access
Edge-Centric Security Framework for Electric Vehicle Connectivity: A Deep Learning Approach
Koustav Kumar Mondal, Divya Mahendia, Debasis Das, et al.
2022 27th Asia Pacific Conference on Communications (APCC) (2023), pp. 448-453
Closed Access | Times Cited: 1
Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network
Shiyi Yang, Hui Guo, Nour Moustafa
2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS) (2021), pp. 829-840
Open Access | Times Cited: 2
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
Anum Talpur, Mohan Gurusamy
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
A Deep Machine Learning Approach for Intrusion Detection in IoT
Akash J. Wadate, S. P. Deshpande
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2023), pp. 58-63
Closed Access
Variational Feature Selection with Convolutional Neural Network for Network Intrusion Classification
Sittisak Saechueng, Ungsumalee Suttapakti, Aekapop Bunpeng
2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (2022), pp. 1-4
Closed Access
Hunter in the Dark: Discover Anomalous Network Activities Using Deep Ensemble Networks.
Shiyi Yang, Peilun Wu, Hui Guo, et al.
arXiv (Cornell University) (2021)
Closed Access
Hunter in the Dark: Deep Ensemble Networks for Discovering Anomalous Activity from Smart Networks
Shiyi Yang, Nour Moustafa, Hui Guo
arXiv (Cornell University) (2021)
Closed Access
Investigation of Deep Learning Model Based Intrusion Detection in Traditional and Ad Hoc Networks
Sanjukta Bhattacharya, Santanu Ghorai, Ajoy Kumar Khan
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2021), pp. 687-694
Closed Access
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