T-H. Hubert Chan

4.3k citations
71 papers · 1.3k indexed · h-index 16

Impact in

Papers in

T-H. Hubert Chan

65 papers receiving 1.3k citations

Peers

T-H. Hubert Chan
Comparison fields: 5 of 78
  • Artificial Intelligence 882
  • Computational Mathematics 12
  • Computational Theory and Mathematics 299
  • Computer Graphics and Computer-Aided Design 57
  • Computer Science Applications 71
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T-H. Hubert Chan relative to Jeremy G. Siek United States Jeremy G. Siek's profile →
Citations per field
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Citations per year

Countries citing papers authored by T-H. Hubert Chan

Since Specialization
Citations

This map shows the geographic impact of T-H. Hubert Chan'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 T-H. Hubert Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T-H. Hubert Chan more than expected).

Fields of papers citing papers by T-H. Hubert Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T-H. Hubert Chan. 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 T-H. Hubert Chan. The network helps show where T-H. Hubert Chan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20231
4 20231
5 20226
6 20214
7 20210
8 20202
9 20199
10 20196
11 20188
12 20171
13
Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method
201714
14 20175
15 201611
16 20164
17 20102
18 20083
19 20086
20 200617

About T-H. Hubert Chan

T-H. Hubert Chan is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computational Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (33 papers), Cryptography and Data Security (20 papers), Optimization and Search Problems (17 papers), Advanced Graph Theory Research (12 papers), Privacy-Preserving Technologies in Data (9 papers), Computational Geometry and Mesh Generation (8 papers), Data Management and Algorithms (7 papers) and Auction Theory and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (882 citations), Computational Mathematics (12 citations), Computational Theory and Mathematics (299 citations), Computer Graphics and Computer-Aided Design (57 citations) and Computer Science Applications (71 citations). T-H. Hubert Chan has collaborated with scholars based in Hong Kong, United States and France. Frequent co-authors include Elaine Shi, Dawn Song, Adrian Perrig, John Bethencourt, Dawn Song, Anupam Gupta, Yan Huang, Xiao Wang, Emil Stefanov and Mauro Sozio. Their work appears in journals such as ACM Transactions on Algorithms, Algorithmica, SIAM Journal on Computing, Journal of the ACM and Theoretical Computer Science.

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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