Cong Wu

1.3k citations
75 papers · 856 · 2 hit papers · h-index 18

Impact in

Papers in

    • Adversarial Robustness in Machine Learning 6
    • Cryptography and Data Security 4
    • User Authentication and Security Systems 7
    • Blockchain Technology Applications and Security 6

Cong Wu

68 papers receiving 837 citations

Cong Wu's Hit Papers

Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing 2025 · 26 citations
260+1Years since publication102030

Peers

Cong Wu
Comparison fields: 5 of 114
  • Statistics and Probability 97
  • Biomaterials 111
  • Signal Processing 93
  • Space and Planetary Science 10
  • Geology 33
Replace Song Sun with:
Song Sun China
Qihang Lin United States
Hongwei Wang China
Cheng Yang China
Hong Qian China
Kang Li China
Rohit Kothari India
Jialiang Xie China
Hengchang Liu China
Cong Wu relative to Song Sun China Song Sun's profile →
Citations per field
00.5×10×15.5×
Song Sun · 1×
Citations per year

Countries citing papers authored by Cong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cong 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 Cong Wu Line = papers co-authored together Cong Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199778
2 202244
3 201742
4 202440
5
PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG)
Hit paper breakdown →
202438
6 201634
7 201633
8 202231
9
Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing
Hit paper breakdown →
202526
10 202426
11 202325
12 202123
13 202423
14 202421
15 201421
16 202419
17 202418
18 201418
19 202017
20 202017

About Cong Wu

Cong Wu is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 856 indexed citations. Recurring topics across this work include User Authentication and Security Systems (7 papers), Blockchain Technology Applications and Security (6 papers), Advanced Malware Detection Techniques (6 papers), Fuzzy Systems and Optimization (6 papers), Adversarial Robustness in Machine Learning (6 papers), Biometric Identification and Security (5 papers), 3D Surveying and Cultural Heritage (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Statistics and Probability (97 citations), Biomaterials (111 citations), Signal Processing (93 citations), Space and Planetary Science (10 citations) and Geology (33 citations). Cong Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kun He, Jing Chen, Ruiying Du, Wu Congxin, Ziming Zhao, Si‐Xue Cheng, Ren‐Xi Zhuo, Yang Xiang, Yang Liu and Boya Liu. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, IEEE Internet of Things Journal, Fuzzy Sets and Systems and IEEE Transactions on Mobile Computing.

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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