Kaifeng Bu

1.3k citations
33 papers · 786 · h-index 15

Impact in

Papers in

Kaifeng Bu

30 papers receiving 763 citations

Peers

Kaifeng Bu
Comparison fields: 5 of 44
  • Computational Mathematics 23
  • Artificial Intelligence 687
  • Atomic and Molecular Physics, and Optics 610
  • Statistical and Nonlinear Physics 120
  • Acoustics and Ultrasonics 4
Replace Nathaniel Johnston with:
Nathaniel Johnston Canada
Lorenzo Leone United States
Salvatore F. E. Oliviero United States
Julio I. de Vicente Spain
Marc-Olivier Renou Switzerland
Dax Enshan Koh Singapore
K. G. H. Vollbrecht Germany
Masaki Owari Japan
Xianqing Li‐Jost Germany
Denis Rosset Switzerland
Kaifeng Bu relative to Nathaniel Johnston Canada Nathaniel Johnston's profile →
Citations per field
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Nathaniel Johnston · 1×
Citations per year

Countries citing papers authored by Kaifeng Bu

Since Specialization
Citations

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

Fields of papers citing papers by Kaifeng Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Kaifeng Bu, 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 Kaifeng Bu Line = papers co-authored together Kaifeng Bu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017147
2 201983
3 201959
4 201756
5 201653
6 201852
7 202046
8 202334
9 202233
10 202429
11 202028
12 201924
13 202324
14 201620
15 202414
16 202313
17 202212
18 20249
19 20229
20 20179

About Kaifeng Bu

Kaifeng Bu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 33 papers that have together received 786 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (28 papers), Quantum Information and Cryptography (23 papers), Quantum Mechanics and Applications (11 papers), Quantum many-body systems (5 papers), Machine Learning and Algorithms (3 papers), Quantum-Dot Cellular Automata (2 papers), Quantum and electron transport phenomena (2 papers) and Tensor decomposition and applications (2 papers). The work is most often cited by research in Computational Mathematics (23 citations), Artificial Intelligence (687 citations), Atomic and Molecular Physics, and Optics (610 citations), Statistical and Nonlinear Physics (120 citations) and Acoustics and Ultrasonics (4 citations). Kaifeng Bu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Uttam Singh, Junde Wu, Zi-Wen Liu, Ryuji Takagi, Dax Enshan Koh, Shao-Ming Fei, Arun Kumar Pati, Bartosz Regula, Arthur Jaffe and Arthur Jaffe. Their work appears in journals such as Physical review. A, Physical Review Letters, Communications in Mathematical Physics, Journal of Physics A Mathematical and Theoretical and Proceedings of the National Academy of Sciences.

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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