Ssu‐Han Chen

1.2k citations
66 papers · 895 · h-index 18

Impact in

Papers in

Ssu‐Han Chen

64 papers receiving 865 citations

Peers

Ssu‐Han Chen
Comparison fields: 5 of 137
  • Industrial and Manufacturing Engineering 284
  • Computer Vision and Pattern Recognition 238
  • Media Technology 81
  • Management of Technology and Innovation 62
  • Signal Processing 69
Replace Yiqi Wu with:
Yiqi Wu China
Carlos Andrés Tavera Romero Colombia
Szu-Hao Huang Taiwan
Xuesong Xu China
Martin Becker Germany
Wei Song China
Man Ieee Systems
Maria Ganzha Poland
Qiang Cheng United States
Ali Rizwan Saudi Arabia
Ssu‐Han Chen relative to Yiqi Wu China Yiqi Wu's profile →
Citations per field
00.5×2.6×
Yiqi Wu · 1×
Citations per year

Countries citing papers authored by Ssu‐Han Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ssu‐Han Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202185
2 199065
3 201457
4 201255
5 201545
6 200942
7 202135
8 201934
9 202030
10 198928
11 201128
12 198926
13 201125
14 201222
15 202222
16 201622
17 201121
18 201317
19 202115
20 201715

About Ssu‐Han Chen

Ssu‐Han Chen is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Economics and Econometrics and Media Technology, having authored 66 papers that have together received 895 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (22 papers), Surface Roughness and Optical Measurements (11 papers), Image Processing Techniques and Applications (8 papers), Innovation Diffusion and Forecasting (5 papers), Image and Object Detection Techniques (5 papers), Innovation Policy and R&D (4 papers), Optical measurement and interference techniques (4 papers) and Intellectual Property and Patents (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (284 citations), Computer Vision and Pattern Recognition (238 citations), Media Technology (81 citations), Management of Technology and Innovation (62 citations) and Signal Processing (69 citations). Ssu‐Han Chen has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Der‐Baau Perng, Chia‐Chun Tsai, Dar‐Zen Chen, Mu‐Hsuan Huang, Chi‐Chang Chang, Pai‐Feng Hsu, Jeng‐Shyang Pan, Jeng‐Yi Tzeng, Pao‐Chi Chang and Chi-Jie Lu. Their work appears in journals such as Applied Sciences, The International Journal of Advanced Manufacturing Technology, Scientometrics, International Journal of Environmental Research and Public Health and Advanced Engineering 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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