Hsin-Chen Chen

984 citations
24 papers · 697 · h-index 11

Impact in

Papers in

Hsin-Chen Chen

23 papers receiving 676 citations

Peers

Hsin-Chen Chen
Comparison fields: 5 of 84
  • Hardware and Architecture 283
  • Electrical and Electronic Engineering 393
  • Public Health, Environmental and Occupational Health 154
  • Human-Computer Interaction 24
  • Computer Vision and Pattern Recognition 88
Replace Yuecheng Li with:
Yuecheng Li China
Simon Walton United Kingdom
Rainer Brück Germany
Carl C. Rheinländer Germany
Dongju Li Japan
Tadahiro Kuroda Japan
Dimitrios Liarokapis United Kingdom
Meng‐Chieh Chiu United States
Allen C. Cheng United States
Rawan Alharbi United States
Hsin-Chen Chen relative to Yuecheng Li China Yuecheng Li's profile →
Citations per field
00.5×10×15×21.8×
Yuecheng Li · 1×
Citations per year

Countries citing papers authored by Hsin-Chen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsin-Chen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008259
2 2014109
3 201381
4 200666
5 201541
6 200826
7 201516
8 200615
9 201313
10 201313
11 200711
12 20077
13 20126
14 20206
15 20145
16 20085
17 20224
18 20224
19 20124
20 20232

About Hsin-Chen Chen

Hsin-Chen Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture, Polymers and Plastics and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 697 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (6 papers), 3D IC and TSV technologies (6 papers), VLSI and Analog Circuit Testing (6 papers), Advanced Vision and Imaging (4 papers), Nutritional Studies and Diet (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Polymer composites and self-healing (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (283 citations), Electrical and Electronic Engineering (393 citations), Public Health, Environmental and Occupational Health (154 citations), Human-Computer Interaction (24 citations) and Computer Vision and Pattern Recognition (88 citations). Hsin-Chen Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yao‐Wen Chang, Zhewei Jiang, Tung-Chieh Chen, Mingui Sun, Wenyan Jia, Chengliu Li, Yicheng Bai, Lora E. Burke, Yuecheng Li and Zhi‐Hong Mao. Their work appears in journals such as Cellulose, IEEE Transactions on Biomedical Engineering, Image and Vision Computing, Measurement Science and Technology and Public Health Nutrition.

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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