Heng‐Shuen Chen

37 papers receiving 368 citations

Peers

Heng‐Shuen Chen
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 75
  • Biomedical Engineering 70
  • Computer Networks and Communications 69
  • Public Health, Environmental and Occupational Health 67
  • General Health Professions 58
Replace Carlos H. Salvador with:
Carlos H. Salvador Spain
Joaquim Alvarelhão Portugal
Gordana Dermody Australia
Tatjana Lončar-Turukalo Serbia
Elvis Camacho United States
Marten Haesner Germany
Christian Dameff United States
Sergio Guillén Spain
Katie Baca-Motes United States
Andrew Meads New Zealand
Heng‐Shuen Chen relative to Carlos H. Salvador Spain Carlos H. Salvador's profile →
Citations per field
00.5×1.5×2.3×
Carlos H. Salvador · 1×
Citations per year

Countries citing papers authored by Heng‐Shuen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Heng‐Shuen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng‐Shuen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Heng‐Shuen Chen. A scholar is included among the top collaborators of Heng‐Shuen 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 Heng‐Shuen Chen. Heng‐Shuen Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 1
4 1
5 6
6 2
7
Digital Art and Quality Living - Study of the Feasibility of Computerizing Senior Citizen Art Therapy.
0
8
A Study of Moodle Learning Platform on the Internet Online Music Course.
0
9 1
10 4
11 1
12 5
13 17
14 2
15 9
16 34
17 16
18
A middleware architecture to improve the efficiency of web-based telemedicine application
2
19 59
20 22

About Heng‐Shuen Chen

Heng‐Shuen Chen is a scholar working on Health Information Management, Music and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 396 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), Electronic Health Records Systems (6 papers) and Sexual function and dysfunction studies (3 papers). The work is most often cited by research in Health Information Management (32 citations), Music (15 citations) and Critical Care and Intensive Care Medicine (21 citations). Heng‐Shuen Chen has collaborated with scholars based in Taiwan, Canada and Ghana. Frequent co-authors include Mei-Ju Su, Jyh‐Horng Chen, Chung‐Chih Lin, Ching‐Yu Chen, Ren-Guey Lee, Kuang‐Chiung Chang, Sao‐Jie Chen, Jer-Junn Luh, Te‐Son Kuo and Geng‐Long Hsu. Their work appears in journals such as PLoS ONE, Journal of Andrology and International Journal of Medical Informatics.

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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