Wei Le

883 citations
55 papers · 595 · h-index 15

Impact in

  • Software top 2%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research

Papers in

    • Software Testing and Debugging Techniques 25
    • Software Reliability and Analysis Research 10
    • Software Engineering Research 17

Wei Le

52 papers receiving 580 citations

Peers

Wei Le
Comparison fields: 5 of 50
  • Software 324
  • Information Systems 298
  • Signal Processing 131
  • Computer Networks and Communications 162
  • Hardware and Architecture 44
Replace Minxue Pan with:
Minxue Pan China
Mário Jino Brazil
Saikat Chakraborty United States
Gehan Selim Canada
Andrew J. Malton Canada
João Pascoal Faria Portugal
Hans-Gerhard Groß Netherlands
Xuan-Bach D. Le Singapore
Ishan Banerjee United States
Kunal Taneja United States
Wei Le relative to Minxue Pan China Minxue Pan's profile →
Citations per field
00.5×11×
Minxue Pan · 1×
Citations per year

Countries citing papers authored by Wei Le

Since Specialization
Citations

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

Fields of papers citing papers by Wei Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 200847
3 201640
4 200538
5 201634
6 201033
7 202231
8 201328
9 202428
10 201525
11 201420
12 201719
13 201418
14 201115
15 202414
16 201112
17 201812
18 202211
19 201311
20 20249

About Wei Le

Wei Le is a scholar working on Software, Information Systems, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 55 papers that have together received 595 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (25 papers), Software Engineering Research (17 papers), Advanced Malware Detection Techniques (10 papers), Software Reliability and Analysis Research (10 papers), Software System Performance and Reliability (8 papers), Security and Verification in Computing (5 papers), Big Data and Business Intelligence (4 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Software (324 citations), Information Systems (298 citations), Signal Processing (131 citations), Computer Networks and Communications (162 citations) and Hardware and Architecture (44 citations). Wei Le has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Mary Lou Soffa, Yang Liu, Hridesh Rajan, Bihuan Chen, Xiaofei Xie, Xiaohong Li, Hongyang Gao, Daniel E. Krutz, Jack Zhang and Jinlin Yang. Their work appears in journals such as IEEE Transactions on Software Engineering, Review of World Economics, Sustainability, ACM Transactions on Software Engineering and Methodology and Lecture notes in computer science.

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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