Hsin-Hao Chen

24 papers receiving 331 citations

Peers

Hsin-Hao Chen
Comparison fields: 5 of 91
  • Marketing 33
  • Psychiatry and Mental health 34
  • Speech and Hearing 13
  • Endocrinology, Diabetes and Metabolism 31
  • Complementary and alternative medicine 15
Replace Andrea Sartori with:
Andrea Sartori Italy
Anna Singleton Australia
Alison Keogh Ireland
Eleftheria Giannouli Switzerland
E. Clay France
R. Ganea Switzerland
Astrid Pernille Jespersen Denmark
Henry T Blake Australia
Ki Byung Park South Korea
Verna Lavender United Kingdom
Hsin-Hao Chen relative to Andrea Sartori Italy Andrea Sartori's profile →
Citations per field
00.5×6.5×
Andrea Sartori · 1×
Citations per year

Countries citing papers authored by Hsin-Hao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsin-Hao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin-Hao 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 Hsin-Hao Chen. The network helps show where Hsin-Hao Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201749
3 202039
4 202135
5 202026
6 201722
7 202214
8 201914
9 201810
10 20208
11 20218
12 20247
13 20217
14 20127
15 20236
16 20215
17 20234
18 20083
19 20183
20 20173

About Hsin-Hao Chen

Hsin-Hao Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Social Psychology, Cardiology and Cardiovascular Medicine, Physiology and Education, having authored 25 papers that have together received 339 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (2 papers), Digital Marketing and Social Media (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Customer Service Quality and Loyalty (2 papers), Cardiac Imaging and Diagnostics (1 paper), Obesity, Physical Activity, Diet (1 paper), Statistical Distribution Estimation and Applications (1 paper) and Sustainable Building Design and Assessment (1 paper). The work is most often cited by research in Marketing (33 citations), Psychiatry and Mental health (34 citations), Speech and Hearing (13 citations), Endocrinology, Diabetes and Metabolism (31 citations) and Complementary and alternative medicine (15 citations). Hsin-Hao Chen has collaborated with scholars based in Taiwan, Australia and China. Frequent co-authors include Tzu‐Lin Yeh, Shu‐Jung Liu, Yu‐Hsi Yuan, Chien‐Yu Lin, Kuo‐Liong Chien, Tiffany Hui‐Kuang Yu, Fang‐Yi Lo, Fang‐Ju Sun, Lee‐Ching Hwang and Hsueh‐Erh Liu. Their work appears in journals such as PeerJ, Scientific Reports, International Journal of Environmental Research and Public Health, Multimedia Systems and Journal of Clinical Medicine.

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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