Chulhee Lee

1.7k citations
128 papers · 1.2k indexed · h-index 17

Chulhee Lee

116 papers receiving 1.1k citations

Peers

Chulhee Lee
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 731
  • Media Technology 289
  • Signal Processing 170
  • Oral Surgery 64
  • Neurology 60
Replace Oksam Chae with:
Oksam Chae South Korea
Mehran Yazdi Iran
Aruni RoyChowdhury United States
Zunlei Feng China
Shijie Hao China
Snehasis Mukherjee India
L. Ganesan India
Fanman Meng China
Yehui Tang China
Mohammad Haghighat United States
Chulhee Lee relative to Oksam Chae South Korea Oksam Chae's profile →
Citations per field
00.5×3.0×
Oksam Chae · 1×
Citations per year

Countries citing papers authored by Chulhee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chulhee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chulhee 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 Chulhee Lee Line = papers co-authored together Chulhee Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20211
3 20216
4 20201
5 202065
6 202042
7 20200
8 20193
9 20193
10 20194
11 20185
12 20170
13 20135
14 200985
15
Correlation between Olfactory Threshold Test, Olfactory Identification Test and Subjective Symptoms
20087
16 200221
17 20028
18
Feature extraction based on the Bhattacharya distance for multimodal data
20011
19 200131
20 199852

About Chulhee Lee

Chulhee Lee is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 128 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (25 papers), Advanced Image Processing Techniques (20 papers), Video Coding and Compression Technologies (19 papers), Neural Networks and Applications (19 papers), Image and Signal Denoising Methods (17 papers), Remote-Sensing Image Classification (17 papers), Image and Video Quality Assessment (17 papers) and Advanced Vision and Imaging (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (731 citations), Media Technology (289 citations) and Signal Processing (170 citations). Chulhee Lee has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Euisun Choi, Jong-Hwa Lee, Sang-Hun Lee, Michaël Unser, M. Eden, Hyun-Soo Choi, Kwon‐Ho Lee, Sangwook Lee, Dong Kyun Rah and Deok Won Kim. Their work appears in journals such as IEEE Access, Optical Engineering, IEEE Transactions on Consumer Electronics, IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition.

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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