Dehui Du

546 citations
41 papers · 306 · h-index 11

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Formal Methods in Verification

Papers in

Dehui Du

34 papers receiving 290 citations

Peers

Dehui Du
Comparison fields: 5 of 65
  • Software 121
  • Computational Theory and Mathematics 109
  • Hardware and Architecture 28
  • Information Systems 88
  • Artificial Intelligence 95
Replace Yassine Lakhnech with:
Yassine Lakhnech France
Ansgar Fehnker Australia
Wonhong Nam South Korea
A.P.A. van Moorsel United States
Ernst Moritz Hahn Germany
Sara Tucci-Piergiovanni Italy
Ryszard Janicki Canada
Mohamad Jaber Lebanon
Gábor Bergmann Hungary
Saïd Jabbour France
Dehui Du relative to Yassine Lakhnech France Yassine Lakhnech's profile →
Citations per field
00.5×3.1×
Yassine Lakhnech · 1×
Citations per year

Countries citing papers authored by Dehui Du

Since Specialization
Citations

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

Fields of papers citing papers by Dehui Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201242
2 200531
3 201226
4 200625
5 200623
6 200417
7 201816
8 202012
9 201512
10 201911
11 201810
12 201410
13 20158
14 20207
15 20196
16 20215
17 20195
18 20085
19 20234
20 20194

About Dehui Du

Dehui Du is a scholar working on Software, Computational Theory and Mathematics, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 41 papers that have together received 306 indexed citations. Recurring topics across this work include Formal Methods in Verification (15 papers), Advanced Software Engineering Methodologies (12 papers), Model-Driven Software Engineering Techniques (12 papers), Software Reliability and Analysis Research (6 papers), Embedded Systems Design Techniques (6 papers), Simulation Techniques and Applications (5 papers), Software Testing and Debugging Techniques (4 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Software (121 citations), Computational Theory and Mathematics (109 citations), Hardware and Architecture (28 citations), Information Systems (88 citations) and Artificial Intelligence (95 citations). Dehui Du has collaborated with scholars based in China, Denmark and Australia. Frequent co-authors include Yutao Ma, Keqing He, Alexandre David, Marius Mikučionis, Kim G. Larsen, Jing Liu, Shi Ying, Tao Qian, Danny Bøgsted Poulsen and Arne Skou. Their work appears in journals such as Science of Computer Programming, IEEE Access, Drug Design Development and Therapy, The Electronic Library and Science China Information Sciences.

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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