Dinghao Wu

4.2k citations
121 papers · 3.3k · h-index 31

Impact in

  • Software top 0.5%
    • Software Testing and Debugging Techniques
    • Advanced Malware Detection Techniques

Papers in

Dinghao Wu

118 papers receiving 3.2k citations

Peers

Dinghao Wu
Comparison fields: 5 of 79
  • Software 609
  • Signal Processing 687
  • Artificial Intelligence 1.3k
  • Information Systems 913
  • Computer Science Applications 91
Replace Manuel Egele with:
Manuel Egele United States
Earl T. Barr United Kingdom
Corrado Aaron Visaggio Italy
Guozhu Meng China
Julia Rubin Canada
Sebastiano Panichella Switzerland
John Aycock Canada
Saumya Debray United States
Dinghao Wu relative to Manuel Egele United States Manuel Egele's profile →
Citations per field
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Manuel Egele · 1×
Citations per year

Countries citing papers authored by Dinghao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dinghao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004255
2 2014173
3 2014146
4 2017137
5
Classifying text messages for the haiti earthquake
2011128
6 2017107
7 2020101
8 201178
9 202075
10 201172
11 201971
12 201368
13 201766
14 201564
15
Reassembleable disassembling
201561
16 201960
17 201757
18 201256
19 201650
20
BinSIM: Trace-based semantic binary diffing via system call sliced segment equivalence checking
201748

About Dinghao Wu

Dinghao Wu is a scholar working on Artificial Intelligence, Signal Processing, Software, Information Systems and Computer Networks and Communications, having authored 121 papers that have together received 3.3k indexed citations. Recurring topics across this work include Security and Verification in Computing (40 papers), Advanced Malware Detection Techniques (22 papers), Software Engineering Research (20 papers), Software Testing and Debugging Techniques (12 papers), Logic, programming, and type systems (7 papers), Advanced Graph Neural Networks (5 papers), Network Security and Intrusion Detection (5 papers) and Academic integrity and plagiarism (5 papers). The work is most often cited by research in Software (609 citations), Signal Processing (687 citations), Artificial Intelligence (1.3k citations), Information Systems (913 citations) and Computer Science Applications (91 citations). Dinghao Wu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Peng Liu, Jiang Ming, Sencun Zhu, Shaz Qadeer, Shuai Wang, Dongpeng Xu, Pei Wang, Lannan Luo, Yufei Jiang and Heqing Huang. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM SIGPLAN Notices, Journal of Computer Virology and Hacking Techniques, IEEE Access and Chemical Engineering Journal.

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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