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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:

LNNLS-KH: A Feature Selection Method for Network Intrusion Detection
Xin Li, Peng Yi, Wei Wei, et al.
Security and Communication Networks (2021) Vol. 2021, pp. 1-22
Open Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

Feature Subset Selection Hybrid Deep Belief Network Based Cybersecurity Intrusion Detection Model
Khalid A. Alissa, Hadil Shaiba, Abdulbaset Gaddah, et al.
Electronics (2022) Vol. 11, Iss. 19, pp. 3077-3077
Open Access | Times Cited: 3
Let us Unveil Network Intrusion Features: Enhancing Network Intrusion Detection Systems via XAI-based Feature Selection
Osvaldo Arreche, Tanish Guntur, Mustafa Abdallah
Research Square (Research Square) (2024)
Open Access
Research on intrusion detection optimization methods based on feature selection
Yufei Wu, Zhe Wang, Kai Liu, et al.
(2024), pp. 5-8
Closed Access
XIDINTV: XGBoost-based intrusion detection of imbalance network traffic via variational auto-encoder
Oluwadamilare Harazeem Abdulganiyu, T. Ait Tchaoucht, Mostafa Ezziyyani, et al.
Mathematical Modeling and Computing (2024) Vol. 11, Iss. 4, pp. 930-945
Closed Access
A Robust Procedure for Machine Learning Algorithms Using Gene Expression Data
Md. Rabiul Auwul, Chongqi Zhang
Biointerface Research in Applied Chemistry (2021) Vol. 12, Iss. 2, pp. 2422-2439
Open Access | Times Cited: 4
Designing efficient streaming-data processing for intrusion avoidance and detection engines using entity selection and entity attribute approach
M Sri Harish, Saravana Kumar Selvaraj
AIP conference proceedings (2023) Vol. 2854, pp. 020021-020021
Closed Access | Times Cited: 1
A Constrained Feature Selection Approach Based on Feature Clustering and Hypothesis Margin Maximization
Samah Hijazi, Vinh Truong Hoang
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 3
Hybrid Deep-Learning Model to Detect Botnet Attacks over Internet of Things Environments
Mohammed Y. Alzahrani, Alwi M. Bamhdi
Research Square (Research Square) (2021)
Open Access | Times Cited: 3
Bridging the Last-Mile Gap in Network Security via Generating Intrusion-Specific Detection Patterns through Machine Learning
Xibin Sun, Du Zhang, Haiou Qin, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 2
An Efficient Network Intrusion Detection System Based on Feature Selection Using Evolutionary Algorithm Over Balanced Dataset
Manisha Rani, Gagandeep Gagandeep
Lecture notes in networks and systems (2022), pp. 179-193
Closed Access | Times Cited: 2
An Efficient Feature Selection for Intrusion Detection System Using B-HKNN and C2 Search Based Learning Model
V. R. Balasaraswathi, L. Mary Shamala, Yasir Hamid, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 6, pp. 5143-5167
Closed Access | Times Cited: 2
A new approach based on game theory to reflect meta-cluster dependencies into VoIP attack detection using ensemble clustering
Farid Bavifard, Mohammad Kheyrandish, Mohammad Mosleh
Cluster Computing (2022) Vol. 26, Iss. 6, pp. 3889-3906
Closed Access | Times Cited: 1
A Quantum Feature Selection Method for Network Intrusion Detection
Mingze Li, Hongliang Zhang, Lei Fan, et al.
2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS) (2022), pp. 281-289
Closed Access | Times Cited: 1
ENHANCING INTRUSION DETECTION SYSTEMS WITH A NOVEL HYBRID LEARNING-BASED FRAMEWORK
Chetana Tukkoji
European Chemical Bulletin (2023) Vol. 12, Iss. si5a
Open Access
A Maximal Information Coefficient-based Feature Selection Method for Intrusion Detection
Xibin Sun, Wenting Li, Jiwei Qiu, et al.
Proceedings of the 7th International Conference on Cyber Security and Information Engineering (2023), pp. 166-170
Closed Access
A Feature Selection Algorithm for Intrusion Detection System Based on Binary PSO
D. Vengaimarbhan, B. Srinivas, MS. G. Praveena
(2023), pp. 1-10
Closed Access
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