Bin Yan

695 citations
20 papers · 420 · h-index 10

Impact in

Papers in

    • Quantum Mechanics and Applications 8
    • Quantum many-body systems 7
    • Quantum and electron transport phenomena 3
    • Cold Atom Physics and Bose-Einstein Condensates 2
    • Mechanical and Optical Resonators 2
    • Quantum Information and Cryptography 13
    • Quantum Computing Algorithms and Architecture 8

Bin Yan

20 papers receiving 411 citations

Peers

Bin Yan
Comparison fields: 5 of 39
  • Atomic and Molecular Physics, and Optics 332
  • Statistical and Nonlinear Physics 116
  • Artificial Intelligence 281
  • Computational Mathematics 2
  • History and Philosophy of Science 12
Replace Jay Lawrence with:
Jay Lawrence United States
J. K. Korbicz Poland
Mordecai Waegell United States
Luca Marinatto Italy
Marcin Markiewicz Poland
Mauro Fortunato Italy
Abhishodh Prakash United States
Kosuke Shizume United States
K. De Raedt Netherlands
Clemens Gneiting Japan
Bin Yan relative to Jay Lawrence United States Jay Lawrence's profile →
Citations per field
00.5×2×3×4×4.5×
Jay Lawrence · 1×
Citations per year

Countries citing papers authored by Bin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Bin 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 Bin Yan Line = papers co-authored together Bin Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020101
2 202181
3 201340
4 202136
5 202230
6 202022
7 202222
8 202218
9 202215
10 20229
11 20227
12 20247
13 20246
14 20216
15 20195
16 20174
17
Quantum Correlations are Tight Bounded by Exclusivity Principle
20133
18 20233
19 20173
20 20172

About Bin Yan

Bin Yan is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Condensed Matter Physics and History and Philosophy of Science, having authored 20 papers that have together received 420 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Quantum Mechanics and Applications (8 papers), Quantum Computing Algorithms and Architecture (8 papers), Quantum many-body systems (7 papers), Quantum and electron transport phenomena (3 papers), Philosophy and History of Science (2 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (332 citations), Statistical and Nonlinear Physics (116 citations), Artificial Intelligence (281 citations), Computational Mathematics (2 citations) and History and Philosophy of Science (12 citations). Bin Yan has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Wojciech H. Zurek, Łukasz Cincio, Nikolai A. Sinitsyn, Andrew Arrasmith, Patrick J. Coles, Andrew Sornborger, Zoë Holmes, Andreas Albrecht, Sebastian Deffner and Davide Girolami. Their work appears in journals such as Physical Review Letters, Physical review. A, Physical review. B., Nature Communications and Physical review. D.

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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