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:

A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
Kevin Fauvel, Fuxing Chen, Dario Rossi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4013-4023
Open Access | Times Cited: 19

Showing 19 citing articles:

Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI
Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 2, pp. 1267-1289
Open Access | Times Cited: 26

Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps
Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 1299-1324
Open Access | Times Cited: 6

Trustworthy deep learning for encrypted traffic classification
Zheng Li, Yanbei Liu, Changqing Zhang, et al.
Soft Computing (2025)
Closed Access

LowPTor: A lightweight method for detecting extremely low-proportion darknet traffic
Qiang Zhang, Cheng Huang, Jiaxuan Han, et al.
Computers & Security (2025), pp. 104420-104420
Closed Access

Changing landscape of fake news research on social media: a bibliometric analysis
Abdelkebir Sahid, Yassine Maleh, Karim Ouazzane
Quality & Quantity (2025)
Closed Access

LAMBERT: Leveraging Attention Mechanisms to Improve the BERT Fine-Tuning Model for Encrypted Traffic Classification
Tao Liu, Xiting Ma, Ling Liu, et al.
Mathematics (2024) Vol. 12, Iss. 11, pp. 1624-1624
Open Access | Times Cited: 2

LightGuard: A Lightweight Malicious Traffic Detection Method for Internet of Things
Yuehua Huo, Wei Liang, J.H. Chen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 17, pp. 28566-28577
Closed Access | Times Cited: 1

SFML: A personalized, efficient, and privacy-preserving collaborative traffic classification architecture based on split learning and mutual learning
Jiaqi Xia, Meng Wu, Pengyong Li
Future Generation Computer Systems (2024) Vol. 162, pp. 107487-107487
Closed Access | Times Cited: 1

DataZoo: Streamlining Traffic Classification Experiments
Jan Luxemburk, Karel Hynek
(2023), pp. 3-7
Closed Access | Times Cited: 3

Lightweight Traffic Classification Model Based on Deep Learning
Chongxin Sun, Bo Chen, Youjun Bu, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 5

Explainable Mobile Traffic Classification: the Case of Incremental Learning
Alfredo Nascita, Francesco Cerasuolo, Giuseppe Aceto, et al.
(2023)
Open Access | Times Cited: 2

DA-Transfer: A Transfer Method for Malicious Network Traffic Classification with Small Sample Problem
Ruonan Wang, Jinlong Fei, Min Zhao, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3577-3577
Open Access | Times Cited: 3

Research on Deterministic Network Prototype of Energy Internet Based on Neural Network Modeling
Shengwei Wang, Rongtao Liao, Xiang Li, et al.
(2024), pp. 852-857
Closed Access

Unsupervised Learning Approach for Network Traffic Classification
Mario Bou Abboud, Oumaya Baala, Maroua Drissi, et al.
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 1155-1160
Closed Access

XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification
Francesco Cerasuolo, Idio Guarino, Vincenzo Spadari, et al.
(2024), pp. 757-762
Closed Access

ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection
Shuo Yang, Xinran Zheng, Jinze Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3818-3828
Closed Access

A Knowledge Distillation-Driven Lightweight CNN Model for Detecting Malicious Encrypted Network Traffic
Yuecheng Wen, Xiaohui Han, Wenbo Zuo, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access

Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability
Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, et al.
ICC 2022 - IEEE International Conference on Communications (2023), pp. 1609-1615
Closed Access | Times Cited: 1

DataZoo: Streamlining Traffic Classification Experiments
Jan Luxemburk, Karel Hynek
arXiv (Cornell University) (2023)
Open Access

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