Dinghao Wu

4.1k citations
103 papers · 2.4k · h-index 28

Impact in

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

Papers in

Dinghao Wu

98 papers receiving 2.3k citations

Peers

Dinghao Wu
Comparison fields: 5 of 102
  • Software 909
  • Signal Processing 1.4k
  • Information Systems 1.2k
  • Hardware and Architecture 273
  • Artificial Intelligence 1.0k
Replace Xiaocheng Feng with:
Xiaocheng Feng China
Earl T. Barr United Kingdom
Seungyeop Han United States
Nahid Shahmehri Sweden
Zhangyin Feng China
Zakir Durumeric United States
Soyeon Park United States
Pankaj Jalote India
James M. Bieman United States
Ivan Beschastnikh Canada
Dinghao Wu relative to Xiaocheng Feng China Xiaocheng Feng's profile →
Citations per field
00.5×10×14.6×
Xiaocheng Feng · 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 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004170
2 2014144
3 2014126
4 2017116
5
Classifying text messages for the haiti earthquake
2011115
6 201794
7 202074
8 201165
9 201162
10 201960
11 201758
12
Reassembleable disassembling
201551
13 201549
14 201247
15 201947
16 201745
17 201643
18
BinSIM: Trace-based semantic binary diffing via system call sliced segment equivalence checking
201739
19 201438
20
TaintPipe: pipelined symbolic taint analysis
201537

About Dinghao Wu

Dinghao Wu is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Software and Computer Networks and Communications, having authored 103 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (59 papers), Software Testing and Debugging Techniques (33 papers), Security and Verification in Computing (33 papers), Software Engineering Research (29 papers), Network Security and Intrusion Detection (11 papers), Digital and Cyber Forensics (9 papers), Adversarial Robustness in Machine Learning (7 papers) and Parallel Computing and Optimization Techniques (7 papers). The work is most often cited by research in Software (909 citations), Signal Processing (1.4k citations), Information Systems (1.2k citations), Hardware and Architecture (273 citations) and Artificial Intelligence (1.0k citations). Dinghao Wu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Peng Liu, Sencun Zhu, Jiang Ming, Shuai Wang, Shaz Qadeer, Pei Wang, Lannan Luo, Yufei Jiang, Dongpeng Xu and Fangfang Zhang. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM SIGPLAN Notices, IEEE Access, IEEE Transactions on Information Forensics and Security 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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