Hsi‐Min Chen

421 citations
41 papers · 268 · h-index 10

Impact in

Papers in

Hsi‐Min Chen

37 papers receiving 254 citations

Peers

Hsi‐Min Chen
Comparison fields: 5 of 45
  • Computer Science Applications 65
  • Software 26
  • Information Systems 108
  • Computer Networks and Communications 105
  • Hardware and Architecture 30
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Citations per year

Countries citing papers authored by Hsi‐Min Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsi‐Min Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsi‐Min Chen. 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 Hsi‐Min Chen. The network helps show where Hsi‐Min Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Hsi‐Min Chen, 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 Hsi‐Min Chen Line = papers co-authored together Hsi‐Min Chen 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
2009 11th IEEE International Conference on High Performance Computing and Communications HPCC 2009
200925
2 201724
3 200923
4 202021
5
An Automated Assessment System for Analysis of Coding Convention Violations in Java Programming Assignments.
201815
6 201214
7 201613
8 200612
9 202011
10 202010
11 20179
12 20227
13 20197
14 20127
15
Applying Learning Analytics to Deconstruct User Engagement by Using Log Data of MOOCs.
20186
16 20186
17 20076
18 20075
19 20085
20 20085

About Hsi‐Min Chen

Hsi‐Min Chen is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Science Applications and Software, having authored 41 papers that have together received 268 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Distributed and Parallel Computing Systems (8 papers), Software Testing and Debugging Techniques (7 papers), Online Learning and Analytics (5 papers), Advanced Software Engineering Methodologies (5 papers), Software Engineering Techniques and Practices (5 papers), Teaching and Learning Programming (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Computer Science Applications (65 citations), Software (26 citations), Information Systems (108 citations), Computer Networks and Communications (105 citations) and Hardware and Architecture (30 citations). Hsi‐Min Chen has collaborated with scholars based in Taiwan, Vietnam and Slovenia. Frequent co-authors include Chien‐Min Wang, Chyi‐Ren Dow, Wei-Han Chen, Jonathan Lee, Yi‐Chung Chen, Don‐Lin Yang, Cheng-Ju Kuo, Jonathan Lee, Jan‐Jan Wu and Francesc Guim. Their work appears in journals such as Electronics, IEEE Access, Information and Software Technology, Science of Computer Programming and Behaviour and Information Technology.

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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