Chang Ha Lee

32 papers receiving 1.0k citations

Hit Papers

Mesh saliency20052026201220192005100200300400

Peers

Chang Ha Lee
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 547
  • Computational Mechanics 319
  • Computer Graphics and Computer-Aided Design 268
  • Mechanical Engineering 145
  • Biomedical Engineering 138
Replace Ruilong Li with:
Ruilong Li China
Xiaobai Chen China
Yang You China
Ran Song China
Forrester Cole United States
Tsuyoshi Okita Japan
Xiaogang Jin China
Lin Zheng China
Ramesh Jain United States
Yinxiao Li United States
Chang Ha Lee relative to Ruilong Li China Ruilong Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chang Ha Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chang Ha Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Ha Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Ha Lee. A scholar is included among the top collaborators of Chang Ha 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 Chang Ha Lee. Chang Ha 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 6
3 5
4 5
5 74
6 14
7 48
8 1
9 6
10
Towards an immersive virtual environment for medical team training.
15
11
Comparison of vacuum swing adsorption process for air separation using zeolite 10X and 13X
11
12 6
13
조기 영아기에 시행된 복합 심기형 환자들에서의 변형 Blalock-Taussig 단락술
1
14
Aortic Valve Papillary Fibroelastoma: Report of 1 Case.
0
15 110
16
초임계 상태에서 매크로에멀젼을 이용한 니켈 도금에 관한 연구
1
17
Binary Supercritical Fluid Mixture Debinding in Metal Injection Molded Part
0
18 24
19 0
20 5

About Chang Ha Lee

Chang Ha Lee is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Fluid Flow and Transfer Processes, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Phase Equilibria and Thermodynamics (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (268 citations), Computer Vision and Pattern Recognition (547 citations) and Computational Mechanics (319 citations). Chang Ha Lee has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Amitabh Varshney, David W. Jacobs, Jae‐Chul Lee, Yong Jin Joo, Min Oh, David Camacho, Jason J. Jung, Gen Li, Young Chul Youn and Tapas Kanungo. Their work appears in journals such as Journal of Membrane Science, International Journal of Hydrogen Energy and IEEE Access.

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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