Yichen Huang

2.4k citations
58 papers · 1.4k · h-index 23

Impact in

Papers in

Yichen Huang

52 papers receiving 1.4k citations

Peers

Yichen Huang
Comparison fields: 5 of 83
  • Atomic and Molecular Physics, and Optics 1.1k
  • Statistical and Nonlinear Physics 393
  • Artificial Intelligence 705
  • Computational Mathematics 10
  • Condensed Matter Physics 176
Replace Claude‐Alain Pillet with:
Claude‐Alain Pillet France
Masayuki Ohzeki Japan
Rolando D. Somma United States
Richard Kueng Austria
Benoît Vermersch Austria
Thierry Paul France
Andrzej Jamiołkowski Poland
Dorit Aharonov Israel
Christian Gogolin Germany
Robert König United States
Yichen Huang relative to Claude‐Alain Pillet France Claude‐Alain Pillet's profile →
Citations per field
00.5×4.8×
Claude‐Alain Pillet · 1×
Citations per year

Countries citing papers authored by Yichen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yichen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014182
2 2016164
3 201389
4 201571
5 201568
6 201055
7 201852
8 201451
9 201248
10 201546
11 201445
12 201944
13 201943
14 201940
15 200739
16 201536
17 201936
18 201333
19 201126
20 202126

About Yichen Huang

Yichen Huang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Condensed Matter Physics and Computational Mechanics, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum many-body systems (30 papers), Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (13 papers), Opinion Dynamics and Social Influence (9 papers), Quantum Mechanics and Applications (7 papers), Quantum and electron transport phenomena (7 papers), Physics of Superconductivity and Magnetism (6 papers) and Quantum chaos and dynamical systems (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Statistical and Nonlinear Physics (393 citations), Artificial Intelligence (705 citations), Computational Mathematics (10 citations) and Condensed Matter Physics (176 citations). Yichen Huang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xie Chen, Yongliang Zhang, Joel E. Moore, Sevag Gharibian, Zeph Landau, Yingfei Gu, Fernando G. S. L. Brandão, Ruo Li, Wenbin Liu and Christoph Karrasch. Their work appears in journals such as Physical Review A, Physical Review B, Physical Review Letters, Nuclear Physics B and Journal of Numerical Mathematics.

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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