Yueming Wu

1.4k citations
62 papers · 862 · 1 hit paper · h-index 18

Impact in

Papers in

Yueming Wu

58 papers receiving 833 citations

Yueming Wu's Hit Papers

Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing 2025 · 36 citations
360Years since publication102030

Peers

Yueming Wu
Comparison fields: 5 of 69
  • Software 112
  • Signal Processing 162
  • Information Systems 330
  • Pollution 46
  • Nature and Landscape Conservation 33
Replace Hailong Zhang with:
Hailong Zhang China
Ricardo Rodrigues Ciferri Brazil
Cai Fu China
Yulong Wang China
Annisa Annisa Indonesia
Dan J. Smith United Kingdom
Mikael Andersson Sweden
Juan Miguel Marín Spain
Jinyun Fang China
Xiaoshuai Zhang United Kingdom
Yueming Wu relative to Hailong Zhang China Hailong Zhang's profile →
Citations per field
00.5×5×10×16.5×
Hailong Zhang · 1×
Citations per year

Countries citing papers authored by Yueming Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Yueming Wu Line = papers co-authored together Yueming Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202299
2 201949
3 202446
4 202042
5 202139
6
Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing
Hit paper breakdown →
202536
7 202133
8 202133
9 202226
10 200624
11 202124
12 202224
13 202424
14 202423
15 202423
16 202120
17 202218
18 202318
19 202318
20 202116

About Yueming Wu

Yueming Wu is a scholar working on Information Systems, Signal Processing, Software, Agronomy and Crop Science and Pollution, having authored 62 papers that have together received 862 indexed citations. Recurring topics across this work include Software Engineering Research (20 papers), Advanced Malware Detection Techniques (12 papers), Software Testing and Debugging Techniques (5 papers), Coastal wetland ecosystem dynamics (5 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Heavy metals in environment (4 papers), Blockchain Technology Applications and Security (4 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Software (112 citations), Signal Processing (162 citations), Information Systems (330 citations), Pollution (46 citations) and Nature and Landscape Conservation (33 citations). Yueming Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Deqing Zou, Hai Jin, Wei Ming Yang, Shihan Dou, Yang Liu, Zhanrui Leng, Cong Wu, Jianxin Liu, Kun He and Jing Chen. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Reliability, Microbial Pathogenesis 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.

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