Chia‐Hsun Lee

868 citations
38 papers · 629 · h-index 12

Impact in

Papers in

Chia‐Hsun Lee

35 papers receiving 602 citations

Peers

Chia‐Hsun Lee
Comparison fields: 5 of 103
  • Human-Computer Interaction 211
  • Renewable Energy, Sustainability and the Environment 94
  • Computer Vision and Pattern Recognition 117
  • Automotive Engineering 56
  • Electrical and Electronic Engineering 233
Replace Andreas Lorenz with:
Andreas Lorenz Germany
Jinha Lee South Korea
Mitesh Patel United States
Norman Fraser United Kingdom
Raymond Sung United Kingdom
Liang He China
Chi‐Chang Chen Taiwan
Yu-Ming Chang Taiwan
Éric Brangier France
Chia‐Hsun Lee relative to Andreas Lorenz Germany Andreas Lorenz's profile →
Citations per field
00.5×1.5×2.3×
Andreas Lorenz · 1×
Citations per year

Countries citing papers authored by Chia‐Hsun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Hsun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Hsun Lee. 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 Chia‐Hsun Lee. The network helps show where Chia‐Hsun Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007113
2 200789
3 200680
4 200573
5
CounterIntelligence: Augmented Reality Kitchen
200534
6 200725
7 200620
8 201117
9 200517
10 201312
11 202012
12 200512
13 201111
14 20119
15 20039
16 20049
17 20089
18 20079
19 20118
20 20068

About Chia‐Hsun Lee

Chia‐Hsun Lee is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Biomedical Engineering and Clinical Biochemistry, having authored 38 papers that have together received 629 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (14 papers), Augmented Reality Applications (12 papers), Biosensors and Analytical Detection (5 papers), Tactile and Sensory Interactions (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Context-Aware Activity Recognition Systems (4 papers), Innovative Human-Technology Interaction (4 papers) and Fuel Cells and Related Materials (3 papers). The work is most often cited by research in Human-Computer Interaction (211 citations), Renewable Energy, Sustainability and the Environment (94 citations), Computer Vision and Pattern Recognition (117 citations), Automotive Engineering (56 citations) and Electrical and Electronic Engineering (233 citations). Chia‐Hsun Lee has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ted Selker, Leonardo Bonanni, M. Chen‐Chi, Yi-Hsiu Hsiao, Chuan-Yu Yen, Yufeng Lin, Shu‐Hang Liao, Judy Gopal, Hui‐Fen Wu and Hong‐Ping Lin. Their work appears in journals such as Journal of Power Sources, The Analyst, Cells, interactions and Journal of Mass Spectrometry.

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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