Chun‐Yen Shen

702 total citations
35 papers, 275 citations indexed

About

Chun‐Yen Shen is a scholar working on Discrete Mathematics and Combinatorics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Chun‐Yen Shen has authored 35 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Discrete Mathematics and Combinatorics, 11 papers in Applied Mathematics and 9 papers in Mathematical Physics. Recurrent topics in Chun‐Yen Shen's work include Limits and Structures in Graph Theory (13 papers), Advanced Harmonic Analysis Research (9 papers) and Coding theory and cryptography (8 papers). Chun‐Yen Shen is often cited by papers focused on Limits and Structures in Graph Theory (13 papers), Advanced Harmonic Analysis Research (9 papers) and Coding theory and cryptography (8 papers). Chun‐Yen Shen collaborates with scholars based in Taiwan, United States and South Korea. Chun‐Yen Shen's co-authors include Doowon Koh, Nets Hawk Katz, M. I. Sancer, Moubariz Z. Garaev, Ignacio Uriarte-Tuero, Eric T. Sawyer, Michael T. Lacey, Derrick Hart, Guoyuan Li and Kai-Chun Liu and has published in prestigious journals such as IEEE Transactions on Antennas and Propagation, Journal of Functional Analysis and Proceedings of the American Mathematical Society.

In The Last Decade

Chun‐Yen Shen

29 papers receiving 249 citations

Peers

Chun‐Yen Shen
Comparison fields: 5 of 56
  • Discrete Mathematics and Combinatorics 110
  • Artificial Intelligence 67
  • Atomic and Molecular Physics, and Optics 53
  • Applied Mathematics 52
  • Electrical and Electronic Engineering 51
Replace Ilan Vardi with:
Ilan Vardi United States
Burkard Polster Australia
Christoph Koutschan Austria
Saroj B. Malik India
W. L. Edge United Kingdom
S. K. Jain United States
Thomas G. Lucas United States
Ernst Snapper United States
Marjorie Bicknell United States
Chuanming Zong China
Ilan Vardi United States View profile →
Citations per field, relative to Chun‐Yen Shen
Chun‐Yen Shen · 1×
Citations per year, relative to Chun‐Yen Shen
Chun‐Yen Shen · 1×

Countries citing papers authored by Chun‐Yen Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Yen Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Yen Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Yen Shen. A scholar is included among the top collaborators of Chun‐Yen Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun‐Yen Shen. Chun‐Yen Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 34
4 0
5 2
6 1
7 3
8 7
9 4
10 14
11 12
12 13
13 1
14 5
15 1
16 8
17 1
18 3
19 55
20
Applications of a certain linear operator defined by a Hadamard product or convolution
1

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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