Guixin Ye

909 total citations · 1 hit paper
27 papers, 518 citations indexed

About

Guixin Ye is a scholar working on Signal Processing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Guixin Ye has authored 27 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 13 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Guixin Ye's work include Advanced Malware Detection Techniques (15 papers), Software Engineering Research (7 papers) and Security and Verification in Computing (7 papers). Guixin Ye is often cited by papers focused on Advanced Malware Detection Techniques (15 papers), Software Engineering Research (7 papers) and Security and Verification in Computing (7 papers). Guixin Ye collaborates with scholars based in China, United Kingdom and Canada. Guixin Ye's co-authors include Zhanyong Tang, Zheng Wang, Dingyi Fang, Yansong Feng, Xiaojiang Chen, Songfang Huang, Shin Hwei Tan, Zhanxing Zhu, Pengfei Xu and Kwang In Kim and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Guixin Ye

23 papers receiving 501 citations

Hit Papers

Combining Graph-Based Learning With Automated Data Collec... 2020 2026 2022 2024 2020 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection
    2020 185 citations Guixin Ye, Zhanyong Tang et al. IEEE Transactions on Information Forensics and Security profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guixin Ye China 10 400 329 136 128 93 27 518
Claudio Marforio Switzerland 10 248 0.6× 262 0.8× 32 0.2× 159 1.2× 171 1.8× 11 393
Clint Feher Israel 6 248 0.6× 370 1.1× 25 0.2× 139 1.1× 271 2.9× 9 431
Qingchuan Zhao Hong Kong 12 191 0.5× 339 1.0× 118 0.9× 212 1.7× 157 1.7× 29 495
Te-En Wei Taiwan 10 284 0.7× 533 1.6× 278 2.0× 83 0.6× 415 4.5× 22 583
Henry Carter United States 9 364 0.9× 398 1.2× 11 0.1× 277 2.2× 271 2.9× 17 653
Liang Cai China 4 232 0.6× 241 0.7× 7 0.1× 117 0.9× 79 0.8× 11 345
Martin Vuagnoux Switzerland 4 91 0.2× 105 0.3× 20 0.1× 114 0.9× 46 0.5× 8 260
Hua Yan China 11 95 0.2× 89 0.3× 92 0.7× 135 1.1× 44 0.5× 55 367
Paul W. McBurney United States 10 524 1.3× 66 0.2× 183 1.3× 321 2.5× 129 1.4× 25 674
Emad E. Abdallah Jordan 12 105 0.3× 71 0.2× 16 0.1× 125 1.0× 184 2.0× 40 502

Countries citing papers authored by Guixin Ye

Since Specialization
Citations

This map shows the geographic impact of Guixin Ye'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 Guixin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guixin Ye more than expected).

Fields of papers citing papers by Guixin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guixin Ye. 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 Guixin Ye. The network helps show where Guixin Ye may publish in the future.

Co-authorship network of co-authors of Guixin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Guixin Ye. A scholar is included among the top collaborators of Guixin Ye 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 Guixin Ye. Guixin Ye 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.
Tang, Zhanyong, et al.. (2025). Scenario: User-Device Authentication on Smart IoTs Using Commodity RFID. IEEE Transactions on Dependable and Secure Computing. 22(3). 3121–3136.
2.
Tang, Zhanyong, et al.. (2025). Directed Testing in MLIR: Unleashing Its Potential by Overcoming the Limitations of Random Fuzzing. Proceedings of the ACM on software engineering.. 2(FSE). 2288–2310.
3.
Ye, Guixin, et al.. (2024). UPBEAT: Test Input Checks of Q# Quantum Libraries. Zenodo (CERN European Organization for Nuclear Research). 186–198.
4.
5.
Tang, Zhanyong, et al.. (2022). Detecting code vulnerabilities by learning from large-scale open source repositories. Journal of Information Security and Applications. 69. 103293–103293. 7 indexed citations
6.
Ye, Guixin, et al.. (2022). GENDA: A Graph Embedded Network Based Detection Approach on encryption algorithm of binary program. Journal of Information Security and Applications. 65. 103088–103088. 6 indexed citations
7.
Li, Peng, et al.. (2022). BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks. Complex & Intelligent Systems. 9(4). 3835–3855. 12 indexed citations
8.
Li, Rong, et al.. (2021). Exploiting Serialized Fine-Grained Action Recognition Using WiFi Sensing. Mobile Information Systems. 2021. 1–17. 4 indexed citations
9.
Zhao, Yujie, Zhanyong Tang, Guixin Ye, et al.. (2020). Compile-time code virtualization for android applications. Computers & Security. 94. 101821–101821. 4 indexed citations
10.
Ye, Guixin, Zhanyong Tang, Shin Hwei Tan, et al.. (2020). Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection. IEEE Transactions on Information Forensics and Security. 16. 1943–1958. 185 indexed citations breakdown →
11.
Ye, Guixin, Zhanyong Tang, Dingyi Fang, et al.. (2020). Deep Program Structure Modeling Through Multi-Relational Graph-based Learning. 111–123. 21 indexed citations
12.
Ye, Guixin, Zhanyong Tang, Dingyi Fang, et al.. (2020). Using Generative Adversarial Networks to Break and Protect Text Captchas. ACM Transactions on Privacy and Security. 23(2). 1–29. 17 indexed citations
13.
Ye, Guixin, Zhanyong Tang, Xiaofeng Wang, et al.. (2019). Exploiting Binary-Level Code Virtualization to Protect Android Applications Against App Repackaging. IEEE Access. 7. 115062–115074. 7 indexed citations
14.
Tang, Zhanyong, Guixin Ye, Guanghui Li, et al.. (2018). Exploiting Code Diversity to Enhance Code Virtualization Protection. 620–627. 4 indexed citations
15.
Ye, Guixin, Zhanyong Tang, Dingyi Fang, et al.. (2018). Yet Another Text Captcha Solver. 332–348. 86 indexed citations
16.
Tang, Zhanyong, Guixin Ye, Shuai Cao, et al.. (2018). VMGuards: A Novel Virtual Machine Based Code Protection System with VM Security as the First Class Design Concern. Applied Sciences. 8(5). 771–771. 3 indexed citations
17.
Ye, Guixin, Zhanyong Tang, Dingyi Fang, et al.. (2017). Cracking Android Pattern Lock in Five Attempts. 78 indexed citations
18.
Tang, Zhanyong, Xiaoqing Gong, Dingyi Fang, et al.. (2016). Exploiting Dynamic Scheduling for VM-Based Code Obfuscation. 489–496. 9 indexed citations
19.
Yang, Bing, Yan Liu, & Guixin Ye. (2012). Research of ArtemiS in a Ring-Plate Cycloid Reducer. Journal of Software. 7(12).
20.
Ye, Guixin. (2011). Noise Test and Objective Parameters Analysis of Sound Quality for High Speed Trains. Noise and Vibration Control. 2 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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2026