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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:

InSDN: A Novel SDN Intrusion Dataset
Mahmoud Said Elsayed, Nhien‐An Le‐Khac, Anca Delia Jurcut
IEEE Access (2020) Vol. 8, pp. 165263-165284
Open Access | Times Cited: 255

Showing 1-25 of 255 citing articles:

Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani, et al.
IEEE Access (2022) Vol. 10, pp. 93104-93139
Open Access | Times Cited: 173
FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things
Othmane Friha, Mohamed Amine Ferrag, Lei Shu, et al.
Journal of Parallel and Distributed Computing (2022) Vol. 165, pp. 17-31
Closed Access | Times Cited: 164
Network Anomaly Detection Using LSTM Based Autoencoder
Mahmoud Said Elsayed, Nhien‐An Le‐Khac, Soumyabrata Dev, et al.
(2020)
Closed Access | Times Cited: 157
A novel hybrid model for intrusion detection systems in SDNs based on CNN and a new regularization technique
Mahmoud Said Elsayed, Nhien‐An Le‐Khac, Marwan Ali Albahar, et al.
Journal of Network and Computer Applications (2021) Vol. 191, pp. 103160-103160
Open Access | Times Cited: 146
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs
Mahmoud Said Elsayed, Nhien‐An Le‐Khac, Marianne A. Azer, et al.
IEEE Transactions on Cognitive Communications and Networking (2022) Vol. 8, Iss. 4, pp. 1862-1880
Open Access | Times Cited: 93
An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks
Ahmad Zainudin, Love Allen Chijioke Ahakonye, Rubina Akter, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 10, pp. 8491-8504
Closed Access | Times Cited: 70
Securing IoT and SDN systems using deep-learning based automatic intrusion detection
Rania A. Elsayed, Reem A. Hamada, Mahmoud I. Abdalla, et al.
Ain Shams Engineering Journal (2023) Vol. 14, Iss. 10, pp. 102211-102211
Open Access | Times Cited: 68
Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP
Sajid Mehmood, Rashid Amin, Jamal Mustafa, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0312425-e0312425
Open Access | Times Cited: 2
DDoSBlocker: Enhancing SDN security with time-based address mapping and AI-driven approach
Mitali Sinha, Padmalochan Bera, Manoranjan Satpathy, et al.
Computer Networks (2025), pp. 111078-111078
Closed Access | Times Cited: 2
Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-Based Solutions, Datasets, and Future Directions
Mohamed Amine Ferrag, Lei Shu, Othmane Friha, et al.
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 9, Iss. 3, pp. 407-436
Closed Access | Times Cited: 90
Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking
Özgür Tonkal, Hüseyin Polat, Erdal Başaran, et al.
Electronics (2021) Vol. 10, Iss. 11, pp. 1227-1227
Open Access | Times Cited: 86
Machine Learning-Based Botnet Detection in Software-Defined Network: A Systematic Review
Khlood Shinan, Khalid Alsubhi, Ahmed Alzahrani, et al.
Symmetry (2021) Vol. 13, Iss. 5, pp. 866-866
Open Access | Times Cited: 60
A Hybrid CNN-LSTM Based Approach for Anomaly Detection Systems in SDNs
Mahmoud Abdallah, Nhien‐An Le‐Khac, Hamed Z. Jahromi, et al.
Proceedings of the 17th International Conference on Availability, Reliability and Security (2021), pp. 1-7
Open Access | Times Cited: 59
Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection
Tommaso Zoppi, Andrea Ceccarelli, Tommaso Puccetti, et al.
Computers & Security (2023) Vol. 127, pp. 103107-103107
Open Access | Times Cited: 41
Cloud-based multiclass anomaly detection and categorization using ensemble learning
Faisal Shahzad, Abdul Mannan, Abdul Rehman Javed, et al.
Journal of Cloud Computing Advances Systems and Applications (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 39
DDoS attack detection and mitigation using deep neural network in SDN environment
Vanlalruata Hnamte, Ashfaq Ahmad Najar, Hong-Nhung Nguyen, et al.
Computers & Security (2023) Vol. 138, pp. 103661-103661
Closed Access | Times Cited: 35
A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking
Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4441-4441
Open Access | Times Cited: 32
Distributed Denial of Service Attack Detection for the Internet of Things Using Hybrid Deep Learning Model
Ahmed Ahmim, Faiz Maazouzi, Marwa Ahmim, et al.
IEEE Access (2023) Vol. 11, pp. 119862-119875
Open Access | Times Cited: 32
Federated Learning Inspired Low-Complexity Intrusion Detection and Classification Technique for SDN-Based Industrial CPS
Ahmad Zainudin, Rubina Akter, Dong‐Seong Kim, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 3, pp. 2442-2459
Closed Access | Times Cited: 28
CNN-BiLSTM: A Hybrid Deep Learning Approach for Network Intrusion Detection System in Software-Defined Networking With Hybrid Feature Selection
Rachid Ben Said, Zakaria Sabir, I. N. Askerzade
IEEE Access (2023) Vol. 11, pp. 138732-138747
Open Access | Times Cited: 23
Abnormal traffic detection system in SDN based on deep learning hybrid models
Kun Wang, Yu Fu, Xueyuan Duan, et al.
Computer Communications (2024) Vol. 216, pp. 183-194
Open Access | Times Cited: 13
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: 12
Machine-Learning-Based Traffic Classification in Software-Defined Networks
Rehab H. Serag, Mohamed S. Abdalzaher, Hussein A. Elsayed, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1108-1108
Open Access | Times Cited: 11
Detection of DDoS attacks in SDN-based VANET using optimized TabNet
Mohamed Ali Setitra, Mingyu Fan
Computer Standards & Interfaces (2024) Vol. 90, pp. 103845-103845
Closed Access | Times Cited: 11
Multilevel Deep Neural Network Approach for Enhanced Distributed Denial-of-Service Attack Detection and Classification in Software-Defined Internet of Things Networks
Yawar Abbas Abid, Jinsong Wu, Guangquan Xu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 14, pp. 24715-24725
Closed Access | Times Cited: 9
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