Sang-Hun Lee

115 papers receiving 810 citations

Peers

Sang-Hun Lee
Comparison fields: 5 of 146
  • Algebra and Number Theory 176
  • Electrical and Electronic Engineering 159
  • Computer Vision and Pattern Recognition 154
  • Artificial Intelligence 140
  • Discrete Mathematics and Combinatorics 119
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Michael Neumann Germany
Anwesha Law Canada
Nenad Tomašev Slovenia
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Ethan D. Bolker United States
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Sang-Hun Lee relative to Michael Neumann Germany Michael Neumann's profile →
Citations per field
00.5×20×40×59.5×
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Citations per year

Countries citing papers authored by Sang-Hun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Hun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang-Hun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Hun Lee. A scholar is included among the top collaborators of Sang-Hun 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 Sang-Hun Lee. Sang-Hun 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 1
2 0
3 42
4 3
5 3
6 8
7 3
8 12
9 3
10 2
11 2
12 3
13
A Study on Non-western modernity of Surface Phenomena in Korean Commercial Architecture
1
14
Development of a multi-line laser sensor based robotic 3D measurement system
1
15
Development of a Robot Vision System for Measuring 3D Pose of Large Object using Virtual Plane Algorithm
1
16
Devices to Ensure Public Power on Interference Criminals in Law Enforcement for Public Affairs
1
17
A High Performance AMBA AHB-compatible SoC Network Protocol for SoC Network Architecture
0
18 2
19
Gain-scheduling of Acceleration Estimator for Low-velocity Measurement with Encoders
1
20
A Robust Input Modification Approach for High Tracking Control Performance of Flexible Joint Robot
2

About Sang-Hun Lee

Sang-Hun Lee is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics and Hardware and Architecture, having authored 128 papers that have together received 859 indexed citations. Recurring topics across this work include Advanced Mathematical Identities (23 papers), Advanced Combinatorial Mathematics (14 papers) and Advanced Vision and Imaging (12 papers). The work is most often cited by research in Algebra and Number Theory (176 citations), Discrete Mathematics and Combinatorics (119 citations) and Health Informatics (50 citations). Sang-Hun Lee has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Taekyun Kim, Dae San Kim, Chulhee Lee, Chan Kwon Jung, Joonyoung Cho, Hyungjun Kim, Seog-Hoon Rim, Hyun‐Wook Jin, Woo‐Hee Kim and Il‐Kwon Oh. Their work appears in journals such as Chemical Communications, ACS Applied Materials & Interfaces and Expert Systems with Applications.

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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