Dinghao Wu

4.1k citations
125 papers · 3.1k · h-index 30

Impact in

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

Papers in

Dinghao Wu

121 papers receiving 3.0k citations

Peers

Dinghao Wu
Comparison fields: 5 of 105
  • Software 1.1k
  • Signal Processing 1.7k
  • Information Systems 1.4k
  • Hardware and Architecture 339
  • Artificial Intelligence 1.3k
Replace Earl T. Barr with:
Earl T. Barr United Kingdom
Nahid Shahmehri Sweden
Xiaocheng Feng China
Indrakshi Ray United States
Gary McGraw United States
Seungyeop Han United States
Simon Thompson United Kingdom
Lori Pollock United States
Davide Balzarotti France
Zakir Durumeric United States
Dinghao Wu relative to Earl T. Barr United Kingdom Earl T. Barr's profile →
Citations per field
00.5×1.5×2.4×
Earl T. Barr · 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 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004250
2 2014163
3 2014144
4
Classifying text messages for the haiti earthquake
2011129
5 2017125
6 201799
7 202087
8 201179
9 201171
10 201367
11 201964
12 201763
13 201558
14 201957
15
Reassembleable disassembling
201556
16 201253
17 201752
18 201647
19
BinSIM: Trace-based semantic binary diffing via system call sliced segment equivalence checking
201744
20 200341

About Dinghao Wu

Dinghao Wu is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Software and Computer Networks and Communications, having authored 125 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (72 papers), Software Testing and Debugging Techniques (38 papers), Security and Verification in Computing (36 papers), Software Engineering Research (33 papers), Network Security and Intrusion Detection (16 papers), Adversarial Robustness in Machine Learning (12 papers), Digital and Cyber Forensics (10 papers) and Spam and Phishing Detection (7 papers). The work is most often cited by research in Software (1.1k citations), Signal Processing (1.7k citations), Information Systems (1.4k citations), Hardware and Architecture (339 citations) and Artificial Intelligence (1.3k 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, IEEE Access, Journal of Computer Virology and Hacking Techniques 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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