Chien‐Hsu Chen

2.5k total citations
95 papers, 1.7k citations indexed

About

Chien‐Hsu Chen is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Chien‐Hsu Chen has authored 95 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 16 papers in Human-Computer Interaction and 14 papers in Cognitive Neuroscience. Recurrent topics in Chien‐Hsu Chen's work include Augmented Reality Applications (21 papers), Virtual Reality Applications and Impacts (9 papers) and Urinary Bladder and Prostate Research (7 papers). Chien‐Hsu Chen is often cited by papers focused on Augmented Reality Applications (21 papers), Virtual Reality Applications and Impacts (9 papers) and Urinary Bladder and Prostate Research (7 papers). Chien‐Hsu Chen collaborates with scholars based in Taiwan, United States and Indonesia. Chien‐Hsu Chen's co-authors include I-Jui Lee, Ling‐Yi Lin, Yao‐Chi Chuang, Po‐Hui Chiang, Po Hui Chiang, Fong‐Gong Wu, Hao‐Lun Luo, Hung‐Jen Wang, Yi-Sung Cheng and Nien‐Te Kuo and has published in prestigious journals such as Advanced Functional Materials, The Journal of Physiology and Scientific Reports.

In The Last Decade

Chien‐Hsu Chen

86 papers receiving 1.6k citations

Peers

Chien‐Hsu Chen
Comparison fields: 5 of 158
  • Computer Vision and Pattern Recognition 584
  • Human-Computer Interaction 382
  • Cognitive Neuroscience 348
  • Information Systems 281
  • Education 258
Mohamed Jemni Tunisia
Javier Hernandez United States
Chien‐Ming Huang United States
Gerhard Weber Germany
Jun Hu Netherlands
Andrew Stewart United Kingdom
Goshiro Yamamoto Japan
Mark Dunlop United Kingdom
Hae Won Park United States
Yao‐Jen Chang Taiwan
Mohamed Jemni Tunisia View profile →
Citations per field, relative to Chien‐Hsu Chen
Chien‐Hsu Chen · 1×
Citations per year, relative to Chien‐Hsu Chen
Chien‐Hsu Chen · 1×

Countries citing papers authored by Chien‐Hsu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Hsu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Hsu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Hsu Chen. A scholar is included among the top collaborators of Chien‐Hsu Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chien‐Hsu Chen. Chien‐Hsu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 5
4 4
5 4
6 3
7 1
8 2
9 4
10 29
11 148
12 7
13 7
14 12
15 17
16
Self-tuning fuzzy PI control for laser power stabilization
1
17 41
18 1
19 5
20 16

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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