Min Yan

30 papers receiving 311 citations

Min Yan's Hit Papers

Emerging opportunities and challenges for the future of reservoir computing 2024 · 158 citations
1580+1Years since publication50100150

Peers

Min Yan
Comparison fields: 5 of 68
  • Architecture 22
  • Geometry and Topology 35
  • Artificial Intelligence 135
  • Discrete Mathematics and Combinatorics 9
  • Statistical and Nonlinear Physics 34
Replace sarah‐marie belcastro with:
sarah‐marie belcastro United States
Rui Hu China
Masashi Yamada Japan
Tianming Liu China
Winfried Lohmiller United States
James William Nilsson
A. Fabre France
S.L. Wood United States
Ronilson Rocha Brazil
Michael Taylor United Kingdom
Min Yan relative to sarah‐marie belcastro United States sarah‐marie belcastro's profile →
Citations per field
00.5×5×10×14.1×
sarah‐marie belcastro · 1×
Citations per year

Countries citing papers authored by Min Yan

Since Specialization
Citations

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

Fields of papers citing papers by Min Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Yan, 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 Min Yan Line = papers co-authored together Min Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emerging opportunities and challenges for the future of reservoir computing
Hit paper breakdown →
2024158
2 199431
3
Discovering emergent shapes using a data-driven symbolic model
199323
4 20019
5 20007
6 19997
7 20137
8 20217
9 20136
10 20196
11 19986
12 20236
13 20216
14 19935
15 20215
16 19974
17 20213
18 20243
19 20193
20 19923

About Min Yan

Min Yan is a scholar working on Geometry and Topology, Electrical and Electronic Engineering, Mechanical Engineering, Materials Chemistry and Statistical and Nonlinear Physics, having authored 34 papers that have together received 324 indexed citations. Recurring topics across this work include Quasicrystal Structures and Properties (6 papers), Nonlinear Waves and Solitons (5 papers), Advanced Combinatorial Mathematics (4 papers), Advanced Materials and Mechanics (3 papers), Design Education and Practice (3 papers), graph theory and CDMA systems (3 papers), Mathematics and Applications (3 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Architecture (22 citations), Geometry and Topology (35 citations), Artificial Intelligence (135 citations), Discrete Mathematics and Combinatorics (9 citations) and Statistical and Nonlinear Physics (34 citations). Min Yan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jie Sun, Peter Tiňo, Can Huang, Peter Bienstman, Wei Lin, John S. Gero, John S. Gero, Beifang Chen, Yongchang Zhu and Jiang-Hua Lu. Their work appears in journals such as Advances in Mathematics, Journal of Combinatorial Theory Series A, The Electronic Journal of Combinatorics, Advances in Applied Mathematics and Design Studies.

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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