Hsien-Che Lee

533 citations
18 papers · 432 · h-index 7

Impact in

Papers in

Hsien-Che Lee

17 papers receiving 392 citations

Peers

Hsien-Che Lee
Comparison fields: 5 of 60
  • Computer Graphics and Computer-Aided Design 48
  • Computer Vision and Pattern Recognition 257
  • Atomic and Molecular Physics, and Optics 286
  • Media Technology 75
  • Cognitive Neuroscience 135
Replace Ricardo J. Motta with:
Ricardo J. Motta United States
Nathan M. Moroney United States
Lawrence A. Taplin United States
Peter G. Engeldrum United States
Ján Morovič United Kingdom
Tania Pouli France
Ron Gershon Canada
Javier Vázquez-Corral Spain
Phillip J. Marlow Australia
Laurent Blondé France
Hsien-Che Lee relative to Ricardo J. Motta United States Ricardo J. Motta's profile →
Citations per field
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Ricardo J. Motta · 1×
Citations per year

Countries citing papers authored by Hsien-Che Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hsien-Che Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsien-Che 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 Hsien-Che Lee. The network helps show where Hsien-Che Lee may publish in the future.

Co-authors

The 8 scholars most cited alongside Hsien-Che 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 Hsien-Che Lee Line = papers co-authored together Hsien-Che Lee links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1986284
2 199056
3 199017
4 200215
5 198314
6 199810
7 20189
8 19976
9 20056
10
Illuminant color from shading
19925
11 20002
12 20052
13 19961
14 20001
15 20051
16 20051
17 20051
18 20051

About Hsien-Che Lee

Hsien-Che Lee is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Instrumentation and Computer Graphics and Computer-Aided Design, having authored 18 papers that have together received 432 indexed citations. Recurring topics across this work include Color Science and Applications (5 papers), Image Enhancement Techniques (4 papers), Image and Signal Denoising Methods (2 papers), Color perception and design (2 papers), Advanced Image Fusion Techniques (2 papers), Advanced Data Compression Techniques (1 paper), Medical Imaging and Analysis (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (48 citations), Computer Vision and Pattern Recognition (257 citations), Atomic and Molecular Physics, and Optics (286 citations), Media Technology (75 citations) and Cognitive Neuroscience (135 citations). Hsien-Che Lee has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include King‐Sun Fu, Jiebo Luo, Richard L. Van Metter, David H. Foos, Xiaohui Wang, Shanglin Yang, Scott J. Daly and Yuan-Yao Lin. Their work appears in journals such as Optical Engineering, Journal of Optics, Journal of the Optical Society of America A, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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