Junzheng Shi

692 total citations · 1 hit paper
25 papers, 335 citations indexed

About

Junzheng Shi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Junzheng Shi has authored 25 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 9 papers in Signal Processing. Recurrent topics in Junzheng Shi's work include Internet Traffic Analysis and Secure E-voting (20 papers), Network Security and Intrusion Detection (16 papers) and Advanced Malware Detection Techniques (9 papers). Junzheng Shi is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (20 papers), Network Security and Intrusion Detection (16 papers) and Advanced Malware Detection Techniques (9 papers). Junzheng Shi collaborates with scholars based in China. Junzheng Shi's co-authors include Gang Xiong, Gaopeng Gou, Zhen Li, Jing Yu, Xinjie Lin, Zhen Li, Yu Guo, Mingxin Cui, Chang Liu and Zigang Cao and has published in prestigious journals such as Sensors, Computer Networks and Proceedings of the ACM Web Conference 2022.

In The Last Decade

Junzheng Shi

23 papers receiving 330 citations

Hit Papers

ET-BERT: A Contextualized Datagram Representation with Pr... 2022 2026 2023 2024 2022 50 100 150

Peers

Junzheng Shi
K. Simran India
Junzheng Shi
Citations per year, relative to Junzheng Shi Junzheng Shi (= 1×) peers K. Simran

Countries citing papers authored by Junzheng Shi

Since Specialization
Citations

This map shows the geographic impact of Junzheng Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junzheng Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junzheng Shi more than expected).

Fields of papers citing papers by Junzheng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junzheng Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junzheng Shi. The network helps show where Junzheng Shi may publish in the future.

Co-authorship network of co-authors of Junzheng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Junzheng Shi. A scholar is included among the top collaborators of Junzheng Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junzheng Shi. Junzheng Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gou, Gaopeng, et al.. (2024). Enhanced detection of obfuscated HTTPS tunnel traffic using heterogeneous information network. Computer Networks. 257. 110975–110975. 2 indexed citations
2.
Xiong, Gang, Qing Zhang, Junzheng Shi, et al.. (2023). Few-shot encrypted traffic classification via multi-task representation enhanced meta-learning. Computer Networks. 228. 109731–109731. 11 indexed citations
3.
Shi, Junzheng, et al.. (2023). Multi-Feature Fusion Based Approach for Classifying Encrypted Mobile Application Traffic. 1112–1117. 1 indexed citations
4.
Lin, Xinjie, Gang Xiong, Gaopeng Gou, et al.. (2022). ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. Proceedings of the ACM Web Conference 2022. 633–642. 183 indexed citations breakdown →
5.
Deng, Jie, Ziqian Yang, Jiarui Jiang, et al.. (2022). Assessing Macro Disease Index of Wheat Stripe Rust Based on Segformer with Complex Background in the Field. Sensors. 22(15). 5676–5676. 22 indexed citations
6.
Shi, Junzheng, et al.. (2021). Universal Website Fingerprinting Defense Based on Adversarial Examples. 99–106. 1 indexed citations
7.
Shi, Junzheng, et al.. (2021). Attack versus Attack: Toward Adversarial Example Defend Website Fingerprinting Attack. 766–773. 1 indexed citations
12.
Guo, Yu, Gang Xiong, Zhen Li, et al.. (2021). Combating Imbalance in Network Traffic Classification Using GAN Based Oversampling. 1–9. 16 indexed citations
13.
Gou, Gaopeng, et al.. (2020). WF-GAN: Fighting Back Against Website Fingerprinting Attack Using Adversarial Learning. 1–7. 20 indexed citations
14.
Chen, Yutong, Zhen Li, Junzheng Shi, et al.. (2020). Not Afraid of the Unseen: a Siamese Network based Scheme for Unknown Traffic Discovery. 1–7. 18 indexed citations
15.
Shi, Junzheng, et al.. (2020). An Quick Available-Bandwidth Measurement Method Based on Link Delay Growth Rate. 51–57. 1 indexed citations
16.
Gou, Gaopeng, et al.. (2019). I Know What You Are Doing With Remote Desktop. 1–7. 11 indexed citations
17.
Gou, Gaopeng, et al.. (2019). Identify OS from encrypted traffic with TCP/IP stack fingerprinting. 1–7. 2 indexed citations
18.
Guo, Yu, Junzheng Shi, Zigang Cao, et al.. (2019). Machine Learning Based CloudBot Detection Using Multi-Layer Traffic Statistics. 2428–2435. 10 indexed citations
19.
Shi, Junzheng, et al.. (2018). Classifying User Activities in the Encrypted WeChat Traffic. 1–8. 11 indexed citations
20.
Gou, Gaopeng, et al.. (2017). Video face recognition through multi-scale and optimization of margin distributions. Procedia Computer Science. 108. 2458–2462. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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