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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:

Active Learning for Network Traffic Classification: A Technical Study
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, et al.
IEEE Transactions on Cognitive Communications and Networking (2021) Vol. 8, Iss. 1, pp. 422-439
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
Mayra Macas, Chunming Wu, Walter Fuertes
Computer Networks (2022) Vol. 212, pp. 109032-109032
Closed Access | Times Cited: 94
A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions
Alaa Tharwat, Wolfram Schenck
Mathematics (2023) Vol. 11, Iss. 4, pp. 820-820
Open Access | Times Cited: 54
A comparative study on online machine learning techniques for network traffic streams analysis
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, et al.
Computer Networks (2022) Vol. 207, pp. 108836-108836
Open Access | Times Cited: 60
From statistical‐ to machine learning‐based network traffic prediction
Iraj Lohrasbinasab, Amin Shahraki, Amir Taherkordi, et al.
Transactions on Emerging Telecommunications Technologies (2021) Vol. 33, Iss. 4
Open Access | Times Cited: 57
Application of Artificial Intelligence to Network Forensics: Survey, Challenges and Future Directions
Syed S. H. Rizvi, Mark Scanlon, Jimmy McGibney, et al.
IEEE Access (2022) Vol. 10, pp. 110362-110384
Open Access | Times Cited: 39
INSOMNIA
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, et al.
(2021), pp. 111-122
Closed Access | Times Cited: 50
Multiclass imbalanced and concept drift network traffic classification framework based on online active learning
Weike Liu, Cheng Zhu, Zhaoyun Ding, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105607-105607
Open Access | Times Cited: 29
Fine-grained TLS services classification with reject option
Jan Luxemburk, Tomáš Čejka
Computer Networks (2022) Vol. 220, pp. 109467-109467
Open Access | Times Cited: 28
Automated design of phononic crystals under thermoelastic wave propagation through deep reinforcement learning
Ali Maghami, Seyed Mahmoud Hosseini
Engineering Structures (2022) Vol. 263, pp. 114385-114385
Closed Access | Times Cited: 24
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
Cyber-Physical Artificial Intelligence
Sanghoon Lee, Jiyeong Chae, Haewon Jeon, et al.
ACM Transactions on Cyber-Physical Systems (2025)
Closed Access
Traffic-Aware Energy-Efficient Resource Allocation for RSMA Based UAV Communications
Meng Xiao, Huanxi Cui, Dianrun Huang, et al.
IEEE Transactions on Network Science and Engineering (2023) Vol. 11, Iss. 3, pp. 2537-2548
Closed Access | Times Cited: 12
An active learning framework using deep Q-network for zero-day attack detection
Yali Wu, Yanghu Hu, Junhu Wang, et al.
Computers & Security (2024) Vol. 139, pp. 103713-103713
Closed Access | Times Cited: 4
Explainable artificial intelligence for feature selection in network traffic classification: A comparative study
Pouya Khani, Elham Moeinaddini, Narges Dehghan Abnavi, et al.
Transactions on Emerging Telecommunications Technologies (2024) Vol. 35, Iss. 4
Closed Access | Times Cited: 3
FSA-IDS: A Flow-based Self-Active Intrusion Detection System
Mehrdad Hajizadeh, Sudip Barua, Pegah Golchin
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium (2023), pp. 1-9
Closed Access | Times Cited: 7
Fast and Accurate Multi-Task Learning for Encrypted Network Traffic Classification
Jee-Tae Park, Chang-Yui Shin, Ui-Jun Baek, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3073-3073
Open Access | Times Cited: 2
QARF: A Novel Malicious Traffic Detection Approach via Online Active Learning for Evolving Traffic Streams
Zequn Niu, Jingfeng Xue, Yong Wang, et al.
Chinese Journal of Electronics (2024) Vol. 33, Iss. 3, pp. 645-656
Closed Access | Times Cited: 2
Enhanced Network Traffic Classification with Machine Learning Algorithms
Ihab Ahmed Najm, Ahmed Hikmat Saeed, Bilal Ahmad, et al.
(2024), pp. 322-327
Closed Access | Times Cited: 2
Lightweight Deep Learning-Based Model for Traffic Prediction in Fog-Enabled Dense Deployed IoT Networks
Abdelhamied A. Ateya, Naglaa F. Soliman, Reem Ibrahim Alkanhel, et al.
Journal of Electrical Engineering and Technology (2022) Vol. 18, Iss. 3, pp. 2275-2285
Closed Access | Times Cited: 10
Sustaining the High Performance of AI-Based Network Traffic Classification Models
Jielun Zhang, Fuhao Li, Feng Ye
IEEE/ACM Transactions on Networking (2022) Vol. 31, Iss. 2, pp. 816-827
Closed Access | Times Cited: 8
Feature selection applied to QoS/QoE modeling on video and web-based mobile data services: An ordinal approach
Miguel García-Torres, Diego P. Pinto-Roa, Carlos Núñez-Castillo, et al.
Computer Communications (2024) Vol. 217, pp. 230-245
Open Access | Times Cited: 1
Personalized origin–destination travel time estimation with active adversarial inverse reinforcement learning and Transformer
Shan Liu, Ya Zhang, Zhengli Wang, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 193, pp. 103839-103839
Closed Access | Times Cited: 1
KeyClass: Efficient keyword matching for network traffic classification
Neminath Hubballi, Pratibha Khandait
Computer Communications (2021) Vol. 185, pp. 79-91
Closed Access | Times Cited: 10
Machine Learning for Intrusion Detection Systems
Quang-Vinh Dang
Advances in computational intelligence and robotics book series (2022), pp. 93-118
Closed Access | Times Cited: 6
CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features
Mehdi Seydali, Farshad Khunjush, Behzad Akbari, et al.
IEEE Access (2023) Vol. 11, pp. 141674-141702
Open Access | Times Cited: 3
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