Yan-Bin Yang

915 citations
17 papers · 650 · h-index 12

Impact in

Papers in

Yan-Bin Yang

17 papers receiving 635 citations

Peers

Yan-Bin Yang
Comparison fields: 5 of 36
  • Atomic and Molecular Physics, and Optics 613
  • Statistical and Nonlinear Physics 184
  • Condensed Matter Physics 158
  • Acoustics and Ultrasonics 11
  • Materials Chemistry 149
Replace Fabio Cavaliere with:
Fabio Cavaliere Italy
Manisha Thakurathi India
Tanay Nag India
Ian Mondragon-Shem United States
Raditya Weda Bomantara Singapore
Konrad Viebahn Switzerland
Niccolò Traverso Ziani Italy
J. H. Pixley United States
Ushnish Ray United States
Christoph Groth France
Yan-Bin Yang relative to Fabio Cavaliere Italy Fabio Cavaliere's profile →
Citations per field
00.5×4.3×
Fabio Cavaliere · 1×
Citations per year

Countries citing papers authored by Yan-Bin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Bin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Yan-Bin Yang, 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 Yan-Bin Yang Line = papers co-authored together Yan-Bin Yang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2020143
2 202083
3 202169
4 201964
5 202159
6 202048
7 201935
8 202033
9 202030
10 202427
11 202226
12 201811
13 202510
14
Topological Non-Hermitian Quasicrystals
20194
15 20224
16 20253
17 20231

About Yan-Bin Yang

Yan-Bin Yang is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Condensed Matter Physics, Materials Chemistry and Artificial Intelligence, having authored 17 papers that have together received 650 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (12 papers), Quantum many-body systems (9 papers), Graphene research and applications (3 papers), Quantum Mechanics and Non-Hermitian Physics (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Quantum and electron transport phenomena (3 papers), Opinion Dynamics and Social Influence (3 papers) and Advanced Condensed Matter Physics (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (613 citations), Statistical and Nonlinear Physics (184 citations), Condensed Matter Physics (158 citations), Acoustics and Ultrasonics (11 citations) and Materials Chemistry (149 citations). Yan-Bin Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yong Xu, Qi-Bo Zeng, Luming Duan, Hongyu Liang, Kai Li, N. Dai, Dong-Ling Deng, Tao Qin, Rong Lü and Kai Li. Their work appears in journals such as Physical review. B., Physical Review Letters, Journal of Physics Condensed Matter, Communications Physics and Physical review. A.

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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