Pei-Kee Lin

52 papers receiving 540 citations

Peers

Pei-Kee Lin
Comparison fields: 5 of 33
  • Mathematical Physics 463
  • Geometry and Topology 347
  • Applied Mathematics 291
  • Computational Theory and Mathematics 342
  • Algebra and Number Theory 63
Replace Stanimir Troyanski with:
Stanimir Troyanski Spain
Bor-Luh Lin United States
Mikio Kato Japan
D. Amir Israel
H. Elton Lacey United States
Dale E. Alspach United States
Charles Stegall Austria
Jean Saint Raymond France
M. Zippin Israel
Vicente Montesinos Santalucía
Pei-Kee Lin relative to Stanimir Troyanski Spain Stanimir Troyanski's profile →
Citations per field
00.5×1.5×1.8×
Stanimir Troyanski · 1×
Citations per year

Countries citing papers authored by Pei-Kee Lin

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Kee Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Pei-Kee 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 Pei-Kee Lin Line = papers co-authored together Pei-Kee Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198574
2 199569
3 200747
4 200444
5 198842
6 198535
7 200724
8 199318
9 199017
10 198715
11 199615
12 198813
13 200913
14 199712
15 199512
16 198511
17 198511
18 198610
19 198810
20 198610

About Pei-Kee Lin

Pei-Kee Lin is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Geometry and Topology and Statistics and Probability, having authored 59 papers that have together received 644 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (44 papers), Optimization and Variational Analysis (25 papers), Fixed Point Theorems Analysis (18 papers), Approximation Theory and Sequence Spaces (12 papers), Advanced Harmonic Analysis Research (12 papers), Holomorphic and Operator Theory (12 papers), Advanced Topology and Set Theory (6 papers) and Advanced Topics in Algebra (6 papers). The work is most often cited by research in Mathematical Physics (463 citations), Geometry and Topology (347 citations), Applied Mathematics (291 citations), Computational Theory and Mathematics (342 citations) and Algebra and Number Theory (63 citations). Pei-Kee Lin has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Bor-Luh Lin, Kok-Keong Tan, Hong‐Kun Xu, Stanimir Troyanski, Yaki Sternfeld, Richard Haydon, Yoav Benyamini, N. L. Carothers, John M. Dye and Jonathan Arazy. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Proceedings of the American Mathematical Society, Nonlinear Analysis, Israel Journal of Mathematics and Journal of Approximation Theory.

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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