Min Yan
Impact in
- Architecture top 5%
- Architecture and Computational Design
- Geometry and Topology top 10%
Papers in
-
- Mathematics and Applications 3
-
- graph theory and CDMA systems 3
- Co-authors
- Peter Bienstman (1 shared paper)Jie Sun (2 shared papers)Can Huang (1 shared paper)Peter Tiňo (1 shared paper)Wei Lin (1 shared paper)John S. Gero (1 shared paper)Beifang Chen (3 shared papers)Gengdong Cheng (1 shared paper)
- Journals
- Advances in Mathematics (3 papers)Design Studies (2 papers)Advances in Applied Mathematics (2 papers)Journal of Combinatorial Theory Series A (2 papers)The Electronic Journal of Combinatorics (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Min Yan
29 papers receiving 255 citations
Min Yan's Hit Papers
Peers
Comparison fields: 5 of 67
- Architecture 18
- Geometry and Topology 32
- Artificial Intelligence 110
- Discrete Mathematics and Combinatorics 9
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Min Yan
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
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.
All Works
Showing the 20 most-cited of 36 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 → | 2024 | 125 |
| 2 | Discovering emergent shapes using a data-driven symbolic model | 1993 | 21 |
| 3 | 1994 | 19 | |
| 4 | 2013 | 7 | |
| 5 | 2001 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 1999 | 7 | |
| 8 | 2013 | 6 | |
| 9 | 1998 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2000 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 1997 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 1993 | 3 | |
| 20 | 2021 | 3 |
About Min Yan
Min Yan is a scholar working on Geometry and Topology, Electrical and Electronic Engineering, Mechanical Engineering, Materials Chemistry and Computer Networks and Communications, having authored 36 papers that have together received 267 indexed citations. Recurring topics across this work include Quasicrystal Structures and Properties (6 papers), Nonlinear Waves and Solitons (4 papers), Advanced Combinatorial Mathematics (4 papers), Advanced Materials and Mechanics (3 papers), graph theory and CDMA systems (3 papers), Mathematics and Applications (3 papers), Design Education and Practice (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Architecture (18 citations), Geometry and Topology (32 citations), Artificial Intelligence (110 citations), Discrete Mathematics and Combinatorics (9 citations) and Statistical and Nonlinear Physics (32 citations). Min Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peter Bienstman, Jie Sun, Can Huang, Peter Tiňo, Wei Lin, John S. Gero, John S. Gero, Beifang Chen, Gengdong Cheng and Yongchang Zhu. Their work appears in journals such as Advances in Mathematics, Design Studies, Advances in Applied Mathematics, Journal of Combinatorial Theory Series A and The Electronic Journal of Combinatorics.
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.