Chia‐Hsun Lee

32 papers receiving 580 citations

Peers

Chia‐Hsun Lee
Comparison fields: 5 of 104
  • Electrical and Electronic Engineering 233
  • Human-Computer Interaction 200
  • Computer Vision and Pattern Recognition 113
  • Biomedical Engineering 112
  • Renewable Energy, Sustainability and the Environment 94
Replace Andreas Lorenz with:
Andreas Lorenz Germany
Stephen Jia Wang Australia
George Papanastasiou Greece
Mitesh Patel United States
Jinha Lee South Korea
Norman Fraser United Kingdom
Chi‐Chang Chen Taiwan
Yu-Ming Chang Taiwan
Liang He China
Raymond Sung United Kingdom
Chia‐Hsun Lee relative to Andreas Lorenz Germany Andreas Lorenz's profile →
Citations per field
00.5×1.5×2.2×
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-authorship network of co-authors of Chia‐Hsun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Hsun Lee. A scholar is included among the top collaborators of Chia‐Hsun Lee 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 Chia‐Hsun Lee. Chia‐Hsun Lee 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
#WorkIndexed citations
1 5
2 2
3
The Effect of Affective Tutoring System in the Teaching of Dengue Fever Epidemic Prevention Curriculum on the Cognitive Loads and Learning Outcomes with Different Levels of Information Literacy
1
4 10
5 12
6 17
7 9
8 8
9 11
10 4
11 2
12 89
13 112
14 25
15 3
16 79
17 17
18
CounterIntelligence: Augmented Reality Kitchen
34
19 1
20 4

About Chia‐Hsun Lee

Chia‐Hsun Lee is a scholar working on Human-Computer Interaction, Clinical Biochemistry and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 608 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (11 papers), Augmented Reality Applications (8 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Human-Computer Interaction (200 citations), Renewable Energy, Sustainability and the Environment (94 citations) and Computer Vision and Pattern Recognition (113 citations). Chia‐Hsun Lee has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ted Selker, Leonardo Bonanni, Yufeng Lin, Chuan-Yu Yen, Yi-Hsiu Hsiao, M. Chen‐Chi, Shu‐Hang Liao, Hui‐Fen Wu, Judy Gopal and Hong‐Ping Lin. Their work appears in journals such as Journal of Power Sources, Biosensors and Bioelectronics and The Analyst.

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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