Ching-Kuang Shene

937 total citations
76 papers, 643 citations indexed

About

Ching-Kuang Shene is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ching-Kuang Shene has authored 76 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Graphics and Computer-Aided Design, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Ching-Kuang Shene's work include Computer Graphics and Visualization Techniques (18 papers), Advanced Numerical Analysis Techniques (15 papers) and Computational Geometry and Mesh Generation (12 papers). Ching-Kuang Shene is often cited by papers focused on Computer Graphics and Visualization Techniques (18 papers), Advanced Numerical Analysis Techniques (15 papers) and Computational Geometry and Mesh Generation (12 papers). Ching-Kuang Shene collaborates with scholars based in United States and China. Ching-Kuang Shene's co-authors include Chaoli Wang, Steve Carr, John K. Johnstone, Jun Ma, Jun Tao, Hongfeng Yu, J. H. Chen, Yuan Zhao, Jun Ma and Yan Zhou and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Computer-Aided Design.

In The Last Decade

Ching-Kuang Shene

72 papers receiving 605 citations

Peers

Ching-Kuang Shene
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 252
  • Computer Graphics and Computer-Aided Design 244
  • Computational Mechanics 211
  • Computer Science Applications 90
  • Artificial Intelligence 82
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Citations per field, relative to Ching-Kuang Shene
Ching-Kuang Shene · 1×
Citations per year, relative to Ching-Kuang Shene
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Countries citing papers authored by Ching-Kuang Shene

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Kuang Shene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Kuang Shene. 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 Ching-Kuang Shene. The network helps show where Ching-Kuang Shene may publish in the future.

Co-authorship network of co-authors of Ching-Kuang Shene

This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Kuang Shene. A scholar is included among the top collaborators of Ching-Kuang Shene 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 Ching-Kuang Shene. Ching-Kuang Shene 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
# Work Indexed citations
1 0
2 4
3
DTEvisual: a visualization system for teaching access control using Domain Type Enforcement
3
4 58
5
DESvisual: a visualization tool for the DES cipher
16
6
Toward an intutive and interesting theory course: the first step of a road map
3
7 2
8 36
9 4
10
Teaching multithreaded programming made easy
1
11
Race conditions: a case study
10
12 1
13
Rendering + modeling + animation + postprocessing = computer graphics
7
14 6
15 1
16 17
17 2
18 0
19
Planar intersection and blending of natural quadrics
8
20
Dupin Cyclides as Blending Surfaces Cones
4

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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