Deukhee Lee

999 citations
74 papers · 720 indexed · h-index 13

Deukhee Lee

67 papers receiving 696 citations

Peers

Deukhee Lee
Comparison fields: 5 of 93
  • Bioengineering 71
  • Biomedical Engineering 317
  • Health Informatics 8
  • Computer Vision and Pattern Recognition 112
  • Electrical and Electronic Engineering 233
Replace Huai Chen with:
Huai Chen China
Carlo Molardi Kazakhstan
Haoran Jin China
Lipeng Zhong China
Jin Seob Kim United States
Xuetao Shi China
R. Kažys Lithuania
Christian Schulze Germany
Marta S. Ferreira Portugal
Deukhee Lee relative to Huai Chen China Huai Chen's profile →
Citations per field
00.5×7.9×
Huai Chen · 1×
Citations per year

Countries citing papers authored by Deukhee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Deukhee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20243
5 20244
6 202311
7 20239
8 20212
9 20212
10 20205
11 20203
12 20201
13 201912
14 201723
15 201714
16 20162
17 201623
18
Human Cognitive Ability
20130
19 20103
20 20086

About Deukhee Lee

Deukhee Lee is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Biotechnology and Surgery, having authored 74 papers that have together received 720 indexed citations. Recurring topics across this work include Medical Imaging and Analysis (12 papers), Medical Image Segmentation Techniques (10 papers), Soft Robotics and Applications (10 papers), Surgical Simulation and Training (9 papers), Spine and Intervertebral Disc Pathology (7 papers), Augmented Reality Applications (6 papers), Anatomy and Medical Technology (6 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Bioengineering (71 citations), Biomedical Engineering (317 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (112 citations) and Electrical and Electronic Engineering (233 citations). Deukhee Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Malinda Vania, Sunglyul Maeng, Sang‐Woo Kim, Ki-Chul Kim, Seung Eon Moon, Amitesh Maiti, Sehyung Park, Youngjun Kim, Brijesh Kumar and Sang‐Hyeob Kim. Their work appears in journals such as Journal of Computational Design and Engineering, The Knee, Sensors, Biomedical Optics Express and Computer Methods and Programs in Biomedicine.

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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