Wei Dong

1.3k citations
125 papers · 689 · h-index 14

Impact in

  • Software top 2%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Parallel Computing and Optimization Techniques

Papers in

    • Advanced Software Engineering Methodologies 18
    • Security and Verification in Computing 13
    • Software Testing and Debugging Techniques 37
    • Software Reliability and Analysis Research 13

Wei Dong

98 papers receiving 673 citations

Peers

Wei Dong
Comparison fields: 5 of 77
  • Software 255
  • Hardware and Architecture 99
  • Information Systems 289
  • Signal Processing 117
  • Artificial Intelligence 259
Replace Ji Wang with:
Ji Wang China
Andreas Bauer Germany
Arutyun Avetisyan Russia
Félicita Di Giandomenico Italy
Mark Nicholson United Kingdom
Johann Schumann United States
Tingting Yu United States
Leonardo Querzoni Italy
Yi Wei United States
Ákos Horváth Hungary
Wei Dong relative to Ji Wang China Ji Wang's profile →
Citations per field
00.5×2.7×
Ji Wang · 1×
Citations per year

Countries citing papers authored by Wei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Wei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Dong, 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 Wei Dong Line = papers co-authored together Wei Dong 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 201456
2 202250
3 202331
4 202227
5 201524
6 201523
7 201518
8 201618
9 200516
10 201815
11 200515
12 200815
13 202214
14 201313
15 200912
16 201812
17 201812
18 201912
19 201911
20 202111

About Wei Dong

Wei Dong is a scholar working on Artificial Intelligence, Software, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 125 papers that have together received 689 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (37 papers), Formal Methods in Verification (27 papers), Software Engineering Research (26 papers), Advanced Malware Detection Techniques (19 papers), Advanced Software Engineering Methodologies (18 papers), Security and Verification in Computing (13 papers), Software Reliability and Analysis Research (13 papers) and Software System Performance and Reliability (11 papers). The work is most often cited by research in Software (255 citations), Hardware and Architecture (99 citations), Information Systems (289 citations), Signal Processing (117 citations) and Artificial Intelligence (259 citations). Wei Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ji Wang, Zhenbang Chen, Shanshan Li, Wanwei Liu, Xiangke Liao, Ji Wang, Yue Yu, Yun Xiong, Yongjun Li and Zhiming Liu. Their work appears in journals such as IEEE Access, Structural Concrete, Expert Systems with Applications, IEEE Transactions on Reliability and IEEE Transactions on Software Engineering.

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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