Chun‐Kit Lai

889 citations
30 papers · 510 · h-index 11

Impact in

    • Mathematical Dynamics and Fractals
    • Spectral Theory in Mathematical Physics
    • Advanced Algebra and Geometry
    • Mathematical Analysis and Transform Methods
    • Algebraic and Geometric Analysis
    • Advanced Harmonic Analysis Research

Papers in

Chun‐Kit Lai

26 papers receiving 500 citations

Peers

Chun‐Kit Lai
Comparison fields: 5 of 43
  • Mathematical Physics 393
  • Applied Mathematics 423
  • Computer Vision and Pattern Recognition 70
  • Geometry and Topology 28
  • Computational Theory and Mathematics 51
Replace Xin-Rong Dai with:
Xin-Rong Dai China
Joaquim Ortega‐Cerdà Spain
Luís Daniel Abreu Austria
E. R. Negrín Spain
Alexander Olevskiı̆ Israel
Alexander Ulanovskii Norway
Christoph Thiele United States
Paolo Boggiatto Italy
Robert L. Benedetto United States
Jean‐Pierre Gabardo Canada
Chun‐Kit Lai relative to Xin-Rong Dai China Xin-Rong Dai's profile →
Citations per field
00.5×1.5×
Xin-Rong Dai · 1×
Citations per year

Countries citing papers authored by Chun‐Kit Lai

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Kit Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Kit Lai. 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 Chun‐Kit Lai. The network helps show where Chun‐Kit Lai may publish in the future.

Co-authors

The 17 scholars most cited alongside Chun‐Kit Lai, 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 Chun‐Kit Lai Line = papers co-authored together Chun‐Kit Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013123
2 201268
3 201964
4 201360
5 201129
6 199128
7 201627
8 201318
9 201716
10 201714
11 201411
12 201910
13 20168
14 20175
15 20215
16 20215
17 20233
18 20213
19 19852
20 20132

About Chun‐Kit Lai

Chun‐Kit Lai is a scholar working on Applied Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition, Algebra and Number Theory and Computational Theory and Mathematics, having authored 30 papers that have together received 510 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (16 papers), Mathematical Dynamics and Fractals (14 papers), Image and Signal Denoising Methods (4 papers), Analytic Number Theory Research (3 papers), advanced mathematical theories (3 papers), Advanced Topology and Set Theory (3 papers), semigroups and automata theory (3 papers) and Advanced X-ray Imaging Techniques (2 papers). The work is most often cited by research in Mathematical Physics (393 citations), Applied Mathematics (423 citations), Computer Vision and Pattern Recognition (70 citations), Geometry and Topology (28 citations) and Computational Theory and Mathematics (51 citations). Chun‐Kit Lai has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Xing‐Gang He, Dorin Ervin Dutkay, Xin-Rong Dai, Ka‐Sing Lau, Li-Xiang An, Hui Rao, Jean‐Pierre Gabardo, Yang Wang, M. Gary Nicholls and James D. Young. Their work appears in journals such as Journal of Fourier Analysis and Applications, Applied and Computational Harmonic Analysis, Journal of Functional Analysis, Advances in Mathematics and Transactions of the American Mathematical Society.

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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