Chee Yap

5.8k citations
143 papers · 3.1k indexed · h-index 30

Chee Yap

133 papers receiving 2.8k citations

Peers

Chee Yap
Comparison fields: 5 of 110
  • Computer Graphics and Computer-Aided Design 1.4k
  • Computer Vision and Pattern Recognition 1.3k
  • Computational Theory and Mathematics 824
  • Signal Processing 487
  • Computational Mechanics 597
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F. P. Preparata United States
Sariel Har-Peled United States
Steven Fortune United States
Mark H. Overmars Netherlands
Timothy M. Chan Canada
Emo Welzl Switzerland
Boris Aronov United States
Allen Van Gelder United States
Otfried Schwarzkopf Netherlands
Jeff Erickson United States
Chee Yap relative to F. P. Preparata United States F. P. Preparata's profile →
Citations per field
00.5×1.5×
F. P. Preparata · 1×
Citations per year

Countries citing papers authored by Chee Yap

Since Specialization
Citations

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

Fields of papers citing papers by Chee Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20188
3 20170
4 20154
5 201115
6 20111
7 200671
8 200544
9
A www-based course structure for teaching a thermodynamics and heat transfer course
20017
10
Yet another look at fractional cascading: B-graphs with application to point location.
20011
11 200034
12 199715
13
d1-optimal motion for a rod
19965
14 19962
15
Proceedings of the ninth annual symposium on Computational geometry
199328
16 19931
17 199119
18 1983134
19 198214
20 19803

About Chee Yap

Chee Yap is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computational Mechanics, having authored 143 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (65 papers), Advanced Numerical Analysis Techniques (32 papers), Polynomial and algebraic computation (26 papers), Robotic Path Planning Algorithms (20 papers), Data Management and Algorithms (15 papers), Numerical Methods and Algorithms (13 papers), Digital Image Processing Techniques (10 papers) and Optimization and Packing Problems (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.4k citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Theory and Mathematics (824 citations), Signal Processing (487 citations) and Computational Mechanics (597 citations). Chee Yap has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Colm Ó'Dúnlaing, Richard Cole, Micha Sharir, Alok Aggarwal, Richard Hull, Bernard Chazelle, Ee‐Chien Chang, Hoon Hong, David Kirkpatrick and Gert Vegter. Their work appears in journals such as Algorithmica, Discrete & Computational Geometry, Computational Geometry, Journal of Algorithms and Information Sciences.

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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