Ching-Kuang Shene

937 citations
76 papers · 643 indexed · h-index 14

Ching-Kuang Shene

72 papers receiving 605 citations

Peers

Ching-Kuang Shene
Comparison fields: 5 of 74
  • Computer Graphics and Computer-Aided Design 244
  • Computer Science Applications 90
  • Computer Vision and Pattern Recognition 252
  • Computational Mechanics 211
  • Software 38
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Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20170
2 20154
3
DTEvisual: a visualization system for teaching access control using Domain Type Enforcement
20123
4 201258
5
DESvisual: a visualization tool for the DES cipher
201116
6
Toward an intutive and interesting theory course: the first step of a road map
20043
7 20032
8 200336
9 20024
10
Teaching multithreaded programming made easy
20011
11
Race conditions: a case study
200110
12 20011
13
Rendering + modeling + animation + postprocessing = computer graphics
20007
14 20006
15 19991
16 199817
17 19972
18 19950
19
Planar intersection and blending of natural quadrics
19938
20
Dupin Cyclides as Blending Surfaces Cones
19924

About Ching-Kuang Shene

Ching-Kuang Shene is a scholar working on Computer Graphics and Computer-Aided Design, Computer Science Applications and Hardware and Architecture, having authored 76 papers that have together received 643 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), Advanced Numerical Analysis Techniques (15 papers), Computational Geometry and Mesh Generation (12 papers), Parallel Computing and Optimization Techniques (12 papers), Teaching and Learning Programming (10 papers), Data Visualization and Analytics (7 papers), Distributed and Parallel Computing Systems (7 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (244 citations), Computer Science Applications (90 citations) and Computer Vision and Pattern Recognition (252 citations). Ching-Kuang Shene has collaborated with scholars based in United States and China. Frequent 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. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, Computer Science Education, Computer Aided Geometric Design and Computer-Aided Design.

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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