Yueming Wu
- Software top 2%
- Software Reliability and Analysis Research 9
- Software Testing and Debugging Techniques 6
- Signal Processing top 2%
- Advanced Malware Detection Techniques 27
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology 7
- Information Systems top 2%
- Software Engineering Research 16
- Spam and Phishing Detection 8
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- Network Security and Intrusion Detection 9
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- Coastal wetland ecosystem dynamics 7
- Co-authors
- Hai JinDeqing ZouJianxin LiuWei YangWeilian HuYe JunAnShihan DouZhanrui Leng
- Journals
- IEEE Transactions on Dependable and Secure Computing (4 papers)IEEE Transactions on Reliability (3 papers)Microbial Pathogenesis (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yueming Wu
72 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Software 168
- Signal Processing 298
- Agronomy and Crop Science 138
- Information Systems 288
- Computer Networks and Communications 172
Countries citing papers authored by Yueming Wu
This map shows the geographic impact of Yueming Wu'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 Yueming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueming Wu more than expected).
Fields of papers citing papers by Yueming Wu
This network shows the impact of papers produced by Yueming Wu. 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 Yueming Wu. The network helps show where Yueming Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yueming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzingbreakdown → | 2025 | 22 |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 20 | |
| 5 | 2024 | 13 | |
| 6 | PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG)breakdown → | 2024 | 35 |
| 7 | 2024 | 17 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 25 | |
| 18 | 2019 | 36 | |
| 19 | 2018 | 6 | |
| 20 | 2005 | 58 |
About Yueming Wu
Yueming Wu is a scholar working on Software, Signal Processing and Information Systems, having authored 75 papers that have together received 913 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (27 papers), Software Engineering Research (16 papers), Network Security and Intrusion Detection (9 papers), Software Reliability and Analysis Research (9 papers), Spam and Phishing Detection (8 papers), Ruminant Nutrition and Digestive Physiology (7 papers), Coastal wetland ecosystem dynamics (7 papers) and Software Testing and Debugging Techniques (6 papers). The work is most often cited by research in Software (168 citations), Signal Processing (298 citations) and Agronomy and Crop Science (138 citations). Yueming Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hai Jin, Deqing Zou, Jianxin Liu, Wei Yang, Weilian Hu, Ye JunAn, Shihan Dou, Zhanrui Leng, Duo Xu and Hui Jia. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Reliability, Microbial Pathogenesis, ACM Transactions on Software Engineering and Methodology and Sustainability.
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.