Li-Yang Tan

738 citations
60 papers · 333 · h-index 10

Impact in

Papers in

    • Complexity and Algorithms in Graphs 43
    • Advanced Graph Theory Research 8
    • semigroups and automata theory 6
    • Machine Learning and Algorithms 33
    • Machine Learning and Data Classification 8
    • Cryptography and Data Security 8
    • Algorithms and Data Compression 8

Li-Yang Tan

52 papers receiving 293 citations

Peers

Li-Yang Tan
Comparison fields: 5 of 41
  • Computational Theory and Mathematics 215
  • Artificial Intelligence 215
  • Discrete Mathematics and Combinatorics 20
  • Statistics and Probability 49
  • Computer Graphics and Computer-Aided Design 16
Replace Boban Veličković with:
Boban Veličković France
Patrick White United States
Madhur Tulsiani United States
Tsung‐Hsi Tsai Taiwan
David W. Gillman United States
Ishay Haviv Israel
Jürgen Forster Germany
Hervé Daudé France
Kevin Matulef United States
Omri Weinstein United States
Li-Yang Tan relative to Boban Veličković France Boban Veličković's profile →
Citations per field
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Boban Veličković · 1×
Citations per year

Countries citing papers authored by Li-Yang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Li-Yang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li-Yang Tan. 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 Li-Yang Tan. The network helps show where Li-Yang Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201033
2 201429
3 201324
4 201624
5 201522
6 201021
7 201413
8 200512
9 201711
10 201310
11 201610
12 20189
13 20228
14 20167
15 20147
16 20147
17 20197
18 20207
19 20176
20 20176

About Li-Yang Tan

Li-Yang Tan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Discrete Mathematics and Combinatorics and Computer Graphics and Computer-Aided Design, having authored 60 papers that have together received 333 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (43 papers), Machine Learning and Algorithms (33 papers), Machine Learning and Data Classification (8 papers), Cryptography and Data Security (8 papers), Advanced Graph Theory Research (8 papers), Algorithms and Data Compression (8 papers), Optimization and Search Problems (7 papers) and semigroups and automata theory (6 papers). The work is most often cited by research in Computational Theory and Mathematics (215 citations), Artificial Intelligence (215 citations), Discrete Mathematics and Combinatorics (20 citations), Statistics and Probability (49 citations) and Computer Graphics and Computer-Aided Design (16 citations). Li-Yang Tan has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Rocco A. Servedio, Ryan W. O’Donnell, Ilias Diakonikolas, Xi Chen, Prasad Raghavendra, Andrew Wan, Aaron Stump, Anindya De, Benjamin Rossman and Adam R. Klivans. Their work appears in journals such as Journal of the ACM, Theory of Computing, SIAM Journal on Computing, Stochastic Processes and their Applications and AIChE Journal.

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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