Kuan‐Chung Chen

1.2k citations
14 papers · 860 indexed · 1 hit paper · h-index 6
Topics
Interconnection Networks and Systems (4 papers)Parallel Computing and Optimization Techniques (4 papers)Online and Blended Learning (2 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Kuan‐Chung Chen

14 papers receiving 792 citations

Hit Papers

Motivation in online learning: Testing a model of self-de...20102026201520202010100200300400500

Peers

Kuan‐Chung Chen
Comparison fields: 5 of 81
  • Education 457
  • Developmental and Educational Psychology 219
  • Social Psychology 179
  • Sociology and Political Science 169
  • Computer Science Applications 165
Replace Barbara L. Grabowski with:
Barbara L. Grabowski United States
Rhonda Christensen United States
Rod Sims Australia
Rowanne Fleck United Kingdom
Pao‐Nan Chou Taiwan
Stephen C. Ehrmann United States
Joshua Weidlich Germany
Lysanne Post Netherlands
Sarah Hofer Germany
Tzung‐Jin Lin Taiwan
Kuan‐Chung Chen relative to Barbara L. Grabowski United States Barbara L. Grabowski's profile →
Citations per field
00.5×1.5×2.3×
Barbara L. Grabowski · 1×
Citations per year

Countries citing papers authored by Kuan‐Chung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Chung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan‐Chung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Chung Chen. A scholar is included among the top collaborators of Kuan‐Chung Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kuan‐Chung Chen. Kuan‐Chung Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 4
3 70
4 2
5 5
6 3
7 2
8 25
9 179
10
Motivation in online learning: Testing a model of self-determination theorybreakdown →
548
11 2
12 3
13 2
14 12

About Kuan‐Chung Chen

Kuan‐Chung Chen is a scholar working on Architecture, Hardware and Architecture and Computer Networks and Communications, having authored 14 papers that have together received 860 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Computer Science Applications (165 citations), Developmental and Educational Psychology (219 citations) and Education (457 citations). Kuan‐Chung Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Syh‐Jong Jang, You‐Chiun Wang, Robert Maribe Branch, Chung‐Ho Chen, Wei‐Guang Teng, Susan J. Masten and Yu‐Cheng Chen. Their work appears in journals such as Computers in Human Behavior, IEEE Transactions on Mobile Computing and Journal of Engineering Education.

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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