Yichen Huang

2.4k citations
59 papers · 1.5k · h-index 23

Impact in

Papers in

Yichen Huang

53 papers receiving 1.4k citations

Peers

Yichen Huang
Comparison fields: 5 of 84
  • Atomic and Molecular Physics, and Optics 1.1k
  • Statistical and Nonlinear Physics 398
  • Artificial Intelligence 725
  • Computational Mathematics 12
  • Condensed Matter Physics 178
Replace Masayuki Ohzeki with:
Masayuki Ohzeki Japan
Richard Kueng Austria
Thierry Paul France
Claude‐Alain Pillet France
Greg Kuperberg United States
Rolando D. Somma United States
Andreas Elben Austria
Benoît Vermersch Austria
Christian Gogolin Germany
Andrzej Jamiołkowski Poland
Yichen Huang relative to Masayuki Ohzeki Japan Masayuki Ohzeki's profile →
Citations per field
00.5×4.4×
Masayuki Ohzeki · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014190
2 2016167
3 201392
4 201575
5 201572
6 201055
7 201853
8 201451
9 201248
10 201947
11 201946
12 201445
13 201545
14 200740
15 201939
16 201938
17 201536
18 201334
19 202129
20 201129

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 59 papers that have together received 1.5k 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), Advanced Numerical Methods in Computational Mathematics (6 papers) and Physics of Superconductivity and Magnetism (6 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Statistical and Nonlinear Physics (398 citations), Artificial Intelligence (725 citations), Computational Mathematics (12 citations) and Condensed Matter Physics (178 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, Zeph Landau, Sevag Gharibian, Yingfei Gu, Fernando G. S. L. Brandão, Wenbin Liu, Ruo Li and Christoph Karrasch. Their work appears in journals such as Physical Review A, Physical Review B, Physical Review Letters, IEEE Transactions on Information Theory and Annals of Physics.

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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