Min Yang

4.9k total citations · 1 hit paper
184 papers, 3.3k citations indexed

About

Min Yang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Min Yang has authored 184 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 54 papers in Computer Networks and Communications and 54 papers in Signal Processing. Recurrent topics in Min Yang's work include Advanced Malware Detection Techniques (53 papers), Software Testing and Debugging Techniques (31 papers) and Security and Verification in Computing (27 papers). Min Yang is often cited by papers focused on Advanced Malware Detection Techniques (53 papers), Software Testing and Debugging Techniques (31 papers) and Security and Verification in Computing (27 papers). Min Yang collaborates with scholars based in China, United States and United Kingdom. Min Yang's co-authors include Zhemin Yang, Yuan Zhang, Guofei Gu, Sergio A. Sañudo‐Wilhelmy, Peng Ning, Yuanyuan Yang, X. Sean Wang, Mi Zhang, Christopher J. Gobler and Adam B. Kustka and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Min Yang

166 papers receiving 3.2k citations

Hit Papers

AppIntent 2013 2026 2017 2021 2013 50 100 150 200 250
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. AppIntent
    2013 256 citations Zhemin Yang, Min Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Yang China 25 1.3k 994 933 857 485 184 3.3k
Xing Wang China 19 492 0.4× 282 0.3× 194 0.2× 463 0.5× 181 0.4× 119 1.6k
Xiaoyong Zhou China 27 925 0.7× 682 0.7× 946 1.0× 579 0.7× 175 0.4× 108 3.0k
Bengt Carlsson Sweden 29 216 0.2× 271 0.3× 213 0.2× 258 0.3× 61 0.1× 158 3.5k
Peng Liu China 29 198 0.2× 160 0.2× 477 0.5× 188 0.2× 20 0.0× 183 2.8k
Pradip Bose United States 50 44 0.0× 521 0.5× 492 0.5× 2.4k 2.9× 136 0.3× 256 8.2k
Jesús S. Aguilar–Ruiz Spain 33 171 0.1× 473 0.5× 1.1k 1.2× 99 0.1× 182 0.4× 131 3.1k
Ying Zhao China 25 53 0.0× 88 0.1× 792 0.8× 517 0.6× 510 1.1× 69 2.9k
Nelson F. F. Ebecken Brazil 23 72 0.1× 185 0.2× 565 0.6× 64 0.1× 31 0.1× 209 2.0k
Stephen Dorling United Kingdom 23 105 0.1× 108 0.1× 676 0.7× 117 0.1× 17 0.0× 50 4.2k
Zhiyong Lin China 21 32 0.0× 298 0.3× 150 0.2× 691 0.8× 234 0.5× 82 2.0k

Countries citing papers authored by Min Yang

Since Specialization
Citations

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

Fields of papers citing papers by Min Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Min Yang. A scholar is included among the top collaborators of Min Yang 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 Min Yang. Min Yang 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
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Wen, Ming, et al.. (2025). CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building. Proceedings of the ACM on software engineering.. 2(FSE). 2618–2640.
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Yang, Min, et al.. (2024). Component Security Ten Years Later: An Empirical Study of Cross-Layer Threats in Real-World Mobile Applications. Proceedings of the ACM on software engineering.. 1(FSE). 70–91. 3 indexed citations
5.
Tan, Xin, et al.. (2024). RecurScan: Detecting Recurring Vulnerabilities in PHP Web Applications. 1746–1755. 2 indexed citations
6.
Yang, Zhemin, et al.. (2024). Identifying Cross-User Privacy Leakage in Mobile Mini-Apps at a Large Scale. IEEE Transactions on Information Forensics and Security. 19. 3135–3147. 5 indexed citations
7.
Pan, Xudong, et al.. (2024). Matryoshka: Exploiting the Over-Parametrization of Deep Learning Models for Covert Data Transmission. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 663–678.
8.
Huang, Mingfeng, Zhetao Li, Anfeng Liu, Xinglin Zhang, & Min Yang. (2024). A Proactive Trust Evaluation System for Secure Data Collection Based on Sequence Extraction. IEEE Transactions on Dependable and Secure Computing. 22(2). 997–1010. 2 indexed citations
9.
Ji, Shouling, Xudong Pan, Xuhong Zhang, et al.. (2024). Towards Practical Backdoor Attacks on Federated Learning Systems. IEEE Transactions on Dependable and Secure Computing. 21(6). 5431–5447. 4 indexed citations
10.
Liu, Baojun, et al.. (2023). Silence is not Golden: Disrupting the Load Balancing of Authoritative DNS Servers. 133–135. 1 indexed citations
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Zhang, Jia, et al.. (2023). Under the Dark: A Systematical Study of Stealthy Mining Pools (Ab)use in the Wild. 326–340. 3 indexed citations
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Liao, Xiaojing, et al.. (2023). Understanding and Detecting Abused Image Hosting Modules as Malicious Services. 3213–3227. 2 indexed citations
14.
Liu, Baojun, et al.. (2023). Silence is not Golden: Disrupting the Load Balancing of Authoritative DNS Servers. 296–310. 3 indexed citations
15.
Liu, Huiqing, Juliana Y. Leung, Min Yang, et al.. (2022). Investigation on water-drive performance of a fault-karst carbonate reservoir under different well patterns and injection-production modes based on 2D visualized physical models. Journal of Petroleum Science and Engineering. 218. 110925–110925. 4 indexed citations
16.
Zhang, Xiangchun, et al.. (2022). Deformation measurement within lithium-ion battery using sparse-view computed tomography and digital image correlation. Measurement Science and Technology. 34(2). 25402–25402. 7 indexed citations
17.
Lu, Chaoyi, Baojun Liu, Yiming Zhang, et al.. (2021). From WHOIS to WHOWAS: A Large-Scale Measurement Study of Domain Registration Privacy under the GDPR. 19 indexed citations
18.
Tan, Xin, et al.. (2021). Detecting Kernel Refcount Bugs with Two-Dimensional Consistency Checking. USENIX Security Symposium. 2471–2488. 4 indexed citations
19.
Zhang, Lei, Zhemin Yang, Yinzhi Cao, et al.. (2020). TextExerciser: Feedback-driven Text Input Exercising for Android Applications. 1071–1087. 23 indexed citations
20.
Zhang, Yuan, Junyan Chen, Xinyu Xing, et al.. (2020). BScout: Direct whole patch presence test for Java executables. USENIX Security Symposium. 1147–1164. 12 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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