Hsin-Yu Chen

73 papers receiving 837 citations

Peers

Hsin-Yu Chen
Comparison fields: 5 of 153
  • Human-Computer Interaction 80
  • Genetics 63
  • Cognitive Neuroscience 112
  • Developmental Biology 12
  • Pharmacy 21
Replace Pei‐Hsuan Lin with:
Pei‐Hsuan Lin Taiwan
Chi Hyun Kim South Korea
Eric J. Carlson United States
Xiaoyu Liu China
Jing Han China
Koji Kitamura Japan
Lennart Hardell Sweden
Yutaka Yoshida Japan
Rong‐Hua Hu China
Zhiyu Qian China
Hsin-Yu Chen relative to Pei‐Hsuan Lin Taiwan Pei‐Hsuan Lin's profile →
Citations per field
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Pei‐Hsuan Lin · 1×
Citations per year

Countries citing papers authored by Hsin-Yu Chen

Since Specialization
Citations

This map shows the geographic impact of Hsin-Yu 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-Yu 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-Yu Chen more than expected).

Fields of papers citing papers by Hsin-Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201394
2 201283
3 202044
4 201840
5 201532
6 200832
7 201732
8 201930
9 201830
10 202028
11 202026
12 202319
13 201419
14 200719
15 201317
16 201817
17 202317
18 202017
19 200916
20 202414

About Hsin-Yu Chen

Hsin-Yu Chen is a scholar working on Electrical and Electronic Engineering, Water Science and Technology, Molecular Biology, Global and Planetary Change and Materials Chemistry, having authored 79 papers that have together received 855 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (5 papers), Advanced NMR Techniques and Applications (4 papers), Virtual Reality Applications and Impacts (4 papers), Tactile and Sensory Interactions (4 papers), Semiconductor materials and devices (4 papers), MXene and MAX Phase Materials (4 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). The work is most often cited by research in Human-Computer Interaction (80 citations), Genetics (63 citations), Cognitive Neuroscience (112 citations), Developmental Biology (12 citations) and Pharmacy (21 citations). Hsin-Yu Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Liwei Chan, Yawei Cheng, Jean Decety, Ming‐Huei Cheng, Cheng–Te Li, Shen‐Yang Lee, Hsin‐Fu Yeh, Po‐Yi Kuo, Tien‐Sheng Chao and Chi‐Rei Wu. Their work appears in journals such as Water, Journal of Plastic Reconstructive & Aesthetic Surgery, International Journal of Molecular Sciences, IEEE Transactions on Electron Devices and Bioscience Biotechnology and Biochemistry.

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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