T. Lin

1.7k citations
92 papers · 1.2k · h-index 14

Impact in

Papers in

T. Lin

84 papers receiving 1.2k citations

Peers

T. Lin
Comparison fields: 5 of 34
  • Computational Theory and Mathematics 721
  • Nuclear and High Energy Physics 309
  • Management Science and Operations Research 65
  • Artificial Intelligence 108
  • Information Systems 70
Replace F. Magniette with:
F. Magniette France
Eckhard Pflüegel United Kingdom
Antonı́n Kučera Czechia
Petr Savický Czechia
Salman Zubair TOOR Sweden
Pierre Hosteins Italy
Jin An Xu China
Richard Mayr United Kingdom
Dominik Wojtczak United Kingdom
Roger Labahn Germany
T. Lin relative to F. Magniette France F. Magniette's profile →
Citations per field
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F. Magniette · 1×
Citations per year

Countries citing papers authored by T. Lin

Since Specialization
Citations

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

Fields of papers citing papers by T. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside T. Lin, 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. Lin Line = papers co-authored together T. Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996374
2 1997132
3 200379
4 202257
5 200535
6 202234
7 200132
8 202331
9 200528
10 202423
11 200222
12 202220
13 202217
14 200215
15 200413
16 200413
17 202212
18 199711
19 200211
20 200311

About T. Lin

T. Lin is a scholar working on Nuclear and High Energy Physics, Computational Theory and Mathematics, Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (27 papers), Particle physics theoretical and experimental studies (24 papers), Rough Sets and Fuzzy Logic (23 papers), Access Control and Trust (6 papers), Data Mining Algorithms and Applications (6 papers), Fuzzy and Soft Set Theory (6 papers), Advanced Algebra and Logic (5 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Computational Theory and Mathematics (721 citations), Nuclear and High Energy Physics (309 citations), Management Science and Operations Research (65 citations), Artificial Intelligence (108 citations) and Information Systems (70 citations). T. Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yiyu Y. Yao, S.K.M. Wong, Churn‐Jung Liau, Shusaku Tsumoto, Xiaohua Hu, Yufeng Yao, Abraham Kandel, N. Cercone, Gaowei Yan and Jianchao Han. Their work appears in journals such as Physical review. D, Journal of High Energy Physics, Physical Review Letters, Physics Letters B and International Journal of Approximate Reasoning.

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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