Young J. Kim

4.5k citations
182 papers · 3.0k indexed · h-index 33
Topics
Robotic Path Planning Algorithms (40 papers)Computer Graphics and Visualization Techniques (33 papers)Computational Geometry and Mesh Generation (31 papers)

In The Last Decade

Young J. Kim

170 papers receiving 2.9k citations

Peers

Young J. Kim
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 1.0k
  • Computer Graphics and Computer-Aided Design 645
  • Atmospheric Science 552
  • Control and Systems Engineering 472
  • Computational Mechanics 431
Replace Tete Xiao with:
Tete Xiao United States
Sergio Orts‐Escolano Spain
Bing‐Yu Chen Taiwan
Nikhila Ravi United States
Zhu Li China
José García‐Rodríguez Spain
Sung‐Hee Lee South Korea
Qian Li China
Gang Yu China
Wan‐Yen Lo United States
Young J. Kim relative to Tete Xiao United States Tete Xiao's profile →
Citations per field
00.5×5.9×
Tete Xiao · 1×
Citations per year

Countries citing papers authored by Young J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young J. Kim. 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 Young J. Kim. The network helps show where Young J. Kim may publish in the future.

Co-authorship network of co-authors of Young J. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young J. Kim. A scholar is included among the top collaborators of Young J. Kim 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 Young J. Kim. Young J. Kim 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 0
2 0
3 32
4 4
5 3
6 26
7 33
8 3
9 5
10 25
11
Types and Features of the Government-Business Relations in Central Asia: Concerning the Relationship with Economic Performance
1
12
The Effects of Adipose Derived Stem Cells on Neurogenic Differentiation and Induction of Nerve Regeneration
4
13
EVALUATION MODEL OF GROWTH AND DEVELOPMENT IN PEDIATRIC DENTISTRY
1
14
Versatile 3D Texture Painting using Imaging Geometry
2
15 4
16
The wintertime distribution of ionic components in Seoul and Busan: Comparative analysis between fine and coarse particles
0
17 78
18 35
19 6
20 3

About Young J. Kim

Young J. Kim is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 182 papers that have together received 3.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (40 papers), Computer Graphics and Visualization Techniques (33 papers) and Computational Geometry and Mesh Generation (31 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (645 citations), Computer Vision and Pattern Recognition (1.0k citations) and Human-Computer Interaction (208 citations). Young J. Kim has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Dinesh Manocha, Ming C. Lin, Stéphane Redon, Gokul Varadhan, Xinyu Zhang, Min Tang, Miguel Á. Otaduy, Seung Jun Oh, Min Tang and Liangjun Zhang. Their work appears in journals such as Journal of Neuroscience, Journal of Geophysical Research Atmospheres and Scientific Reports.

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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