H.S. Lee

466 citations
17 papers · 373 · h-index 7

Impact in

Papers in

H.S. Lee

14 papers receiving 345 citations

Peers

H.S. Lee
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 187
  • Media Technology 73
  • Computer Networks and Communications 52
  • Signal Processing 22
  • Electrical and Electronic Engineering 108
Replace Ching-Te Chiu with:
Ching-Te Chiu Taiwan
Mon-Chau Shie Taiwan
Qun Wu China
Rajesh Kumar Garg United States
Shuo Chen China
Philipp Zhang United States
Cyrus S. Bamji United States
Bongsoon Kang South Korea
Allan R. Hambley United States
Hongmei Li China
H.S. Lee relative to Ching-Te Chiu Taiwan Ching-Te Chiu's profile →
Citations per field
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Ching-Te Chiu · 1×
Citations per year

Countries citing papers authored by H.S. Lee

Since Specialization
Citations

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

Fields of papers citing papers by H.S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.S. 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 H.S. Lee. The network helps show where H.S. Lee may publish in the future.

Co-authors

The 15 scholars most cited alongside H.S. 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 H.S. Lee Line = papers co-authored together H.S. Lee links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2004204
2 199374
3 199319
4 200216
5 201611
6 20039
7
Design of optimum mean square sidelobe suppression filters for Barker codes
19928
8 19937
9 20146
10 19916
11 19925
12 19923
13 19932
14 19912
15 19921
16 20230
17 19930

About H.S. Lee

H.S. Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Hardware and Architecture, Artificial Intelligence and Mechanics of Materials, having authored 17 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (2 papers), Quantum Dots Synthesis And Properties (2 papers), Metallurgy and Material Forming (2 papers), Advanced Semiconductor Detectors and Materials (2 papers), Radar Systems and Signal Processing (2 papers), Semiconductor Quantum Structures and Devices (2 papers), Metal Forming Simulation Techniques (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Media Technology (73 citations), Computer Networks and Communications (52 citations), Signal Processing (22 citations) and Electrical and Electronic Engineering (108 citations). H.S. Lee has collaborated with scholars based in South Korea and Japan. Frequent co-authors include D.Y. Yang, Jeong Yong Lee, S. Park, Jinhwan Kim, T.W. Kim, T.W. Kim, Jy Kim, Dong Chul Choo, Jaewook Shin and Hoon Sohn. Their work appears in journals such as Electronics Letters, International Journal of Mechanical Sciences, Journal of Crystal Growth, IEEE Signal Processing Letters and Elsevier eBooks.

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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