Hsien-Che Lee

533 citations
13 papers · 386 · h-index 8

Impact in

Papers in

Hsien-Che Lee

13 papers receiving 348 citations

Peers

Hsien-Che Lee
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 42
  • Computer Vision and Pattern Recognition 225
  • Atomic and Molecular Physics, and Optics 253
  • Media Technology 61
  • Cognitive Neuroscience 125
Replace Ricardo J. Motta with:
Ricardo J. Motta United States
Michael Stokes United States
Nathan Moroney United States
Peter G. Engeldrum United States
Lawrence A. Taplin United States
Phillip J. Marlow Australia
Ron Gershon Canada
Ján Morovič United Kingdom
Javier Vázquez-Corral Spain
Guowei Hong United Kingdom
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Citations per field
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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 7 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

13 of 13 papers shown
#Work
1 1986253
2 199051
3 200216
4 199016
5 198311
6 19989
7 20189
8
A computer vision system for generating object description
19817
9 19976
10
Illuminant color from shading
19924
11 20002
12 19961
13 20001

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, Social Psychology and Aerospace Engineering, having authored 13 papers that have together received 386 indexed citations. Recurring topics across this work include Color Science and Applications (5 papers), Image Enhancement Techniques (4 papers), Color perception and design (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Image Fusion Techniques (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (42 citations), Computer Vision and Pattern Recognition (225 citations), Atomic and Molecular Physics, and Optics (253 citations), Media Technology (61 citations) and Cognitive Neuroscience (125 citations). Hsien-Che Lee has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include King‐Sun Fu, Jiebo Luo, David H. Foos, Xiaohui Wang, Shanglin Yang, Scott 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 Purdue e-Pubs (Purdue University System).

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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