Jun-Wei Lin

667 citations
28 papers · 449 · h-index 11

Impact in

Papers in

Jun-Wei Lin

26 papers receiving 439 citations

Peers

Jun-Wei Lin
Comparison fields: 5 of 94
  • Software 159
  • Human Factors and Ergonomics 33
  • Signal Processing 71
  • Information Systems 138
  • Insect Science 60
Replace Guangwei Li with:
Guangwei Li China
Peter van der Putten Netherlands
Gregory T. Sullivan Türkiye
John Brant United States
Nic Herndon United States
Heather J. Goldsby United States
Zhongjie Li China
Tim Kovacs United Kingdom
Marcelo Serrano Zanetti Switzerland
Bruno Zanuttini France
Jun-Wei Lin relative to Guangwei Li China Guangwei Li's profile →
Citations per field
00.5×3.3×
Guangwei Li · 1×
Citations per year

Countries citing papers authored by Jun-Wei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Wei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014119
2 200956
3 201950
4 202133
5 201930
6 202028
7 202023
8 200922
9 201812
10 202211
11 201711
12 20228
13 20228
14 20227
15 20245
16 20074
17 20084
18 20134
19 20223
20 20232

About Jun-Wei Lin

Jun-Wei Lin is a scholar working on Software, Computer Networks and Communications, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 28 papers that have together received 449 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (9 papers), Advanced Malware Detection Techniques (6 papers), Software System Performance and Reliability (4 papers), Software Engineering Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Vector-borne infectious diseases (2 papers), Web Application Security Vulnerabilities (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Software (159 citations), Human Factors and Ergonomics (33 citations), Signal Processing (71 citations), Information Systems (138 citations) and Insect Science (60 citations). Jun-Wei Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Sam Malek, Reyhaneh Jabbarvand, Chin‐Yu Huang, Gary Moore, Christopher Childers, Han Lin, Jay D. Evans, Kevin J. Hackett, Chien‐Yueh Lee and Monica F. Poelchau. Their work appears in journals such as Prenatal Diagnosis, Frontiers in Microbiology, ACM Transactions on Software Engineering and Methodology, Journal of Clinical Medicine and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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