Chi‐Shi Chen

502 citations
32 papers · 338 · h-index 10

Impact in

Papers in

Chi‐Shi Chen

32 papers receiving 317 citations

Peers

Chi‐Shi Chen
Comparison fields: 5 of 56
  • Analytical Chemistry 98
  • Signal Processing 100
  • Hardware and Architecture 44
  • Computer Vision and Pattern Recognition 111
  • Biophysics 26
Replace Yuhan Chen with:
Yuhan Chen China
Sanmitra Banerjee United States
Haixiang Li China
Walker H. Land United States
Xiang-Jun Li China
Yuanchao Xu China
Hang Wang China
S. Lakshmi India
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Citations per field
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Yuhan Chen · 1×
Citations per year

Countries citing papers authored by Chi‐Shi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Shi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005112
2 199354
3 199723
4 199420
5 202320
6 200915
7 199712
8 19979
9 20069
10 20209
11 20208
12 20237
13 20156
14 20224
15 20243
16 20213
17 20153
18 19953
19 20093
20 20242

About Chi‐Shi Chen

Chi‐Shi Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence and Analytical Chemistry, having authored 32 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), CCD and CMOS Imaging Sensors (7 papers), Advanced Memory and Neural Computing (6 papers), Embedded Systems Design Techniques (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Interconnection Networks and Systems (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and 3D IC and TSV technologies (4 papers). The work is most often cited by research in Analytical Chemistry (98 citations), Signal Processing (100 citations), Hardware and Architecture (44 citations), Computer Vision and Pattern Recognition (111 citations) and Biophysics (26 citations). Chi‐Shi Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chris W. Brown, Jen‐Fon Jen, Chris W. Brown, Yu‐Wen Huang, Tung-Chien Chen, Tu-Chih Wang, Chen‐Han Tsai, Liang‐Gee Chen, Shyh-Yih Ma and Bing-Yu Hsieh. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices, IEEE Transactions on Industrial Electronics, Journal of the Society of Dyers and Colourists and Applied Spectroscopy.

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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