Shane Chern

50 papers receiving 414 citations

Peers

Shane Chern
Comparison fields: 5 of 42
  • Discrete Mathematics and Combinatorics 149
  • Algebra and Number Theory 204
  • Catalysis 66
  • Renewable Energy, Sustainability and the Environment 143
  • Geometry and Topology 57
Replace Gui‐Xian Tian with:
Gui‐Xian Tian China
Hideo Wada Japan
Jay Taylor United Kingdom
Jianpan Wang China
Mahdi Asgari United States
András Bíró Hungary
Robert Bédard Canada
Yoshikazu Nakai Japan
Yang Han China
Xiaoyong Xi China
Shane Chern relative to Gui‐Xian Tian China Gui‐Xian Tian's profile →
Citations per field
00.5×10×20×29.1×
Gui‐Xian Tian · 1×
Citations per year

Countries citing papers authored by Shane Chern

Since Specialization
Citations

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

Fields of papers citing papers by Shane Chern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Shane Chern, 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 Shane Chern Line = papers co-authored together Shane Chern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022165
2
Abel's Theorem and Webs.
197832
3 200129
4 202119
5 201616
6 202116
7 201812
8 202012
9 202010
10 20198
11 20207
12 20196
13 20166
14 20216
15 20245
16 20165
17 20195
18 20205
19 20214
20 20174

About Shane Chern

Shane Chern is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics, Applied Mathematics, Geometry and Topology and Mathematical Physics, having authored 62 papers that have together received 434 indexed citations. Recurring topics across this work include Advanced Mathematical Identities (53 papers), Analytic Number Theory Research (45 papers), Advanced Combinatorial Mathematics (43 papers), Mathematical functions and polynomials (7 papers), Mathematical Inequalities and Applications (3 papers), Stochastic processes and financial applications (2 papers), History and Theory of Mathematics (2 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (149 citations), Algebra and Number Theory (204 citations), Catalysis (66 citations), Renewable Energy, Sustainability and the Environment (143 citations) and Geometry and Topology (57 citations). Shane Chern has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Shi‐Zhang Qiao, Xing Zhi, Bernt Johannessen, Dazhi Yao, Cheng Tang, Ashley D. Slattery, Jeffrey D. Vaaler, George E. Andrews, Shenghong Li and Michael D. Hirschhorn. Their work appears in journals such as The Ramanujan Journal, International Journal of Number Theory, Journal of Combinatorial Theory Series A, Discrete Mathematics and Journal of Mathematical Analysis and Applications.

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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