Cong‐Feng Qiao

3.9k citations
172 papers · 2.4k · h-index 27

Impact in

Papers in

Cong‐Feng Qiao

159 papers receiving 2.3k citations

Peers

Cong‐Feng Qiao
Comparison fields: 5 of 52
  • Nuclear and High Energy Physics 1.9k
  • Atomic and Molecular Physics, and Optics 453
  • Artificial Intelligence 400
  • Computational Mathematics 6
  • Statistical and Nonlinear Physics 74
Replace Matthew Wingate with:
Matthew Wingate United States
Zohreh Davoudi United States
Roman N. Lee Russia
Tatsumi Aoyama Japan
Daniele Binosi Italy
V. Lubicz Italy
Taku Izubuchi United States
S. M. Roy India
F. Jegerlehner Germany
P. Osland Norway
Cong‐Feng Qiao relative to Matthew Wingate United States Matthew Wingate's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cong‐Feng Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Cong‐Feng Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cong‐Feng Qiao. 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 Cong‐Feng Qiao. The network helps show where Cong‐Feng Qiao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001108
2 201698
3 200394
4 199767
5 201960
6 200659
7 202054
8 202154
9 201449
10 200649
11 201343
12 202141
13 200540
14 201239
15 200737
16 201036
17 200836
18 200534
19 200333
20 201633

About Cong‐Feng Qiao

Cong‐Feng Qiao is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Astronomy and Astrophysics and Statistical and Nonlinear Physics, having authored 172 papers that have together received 2.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (103 papers), Quantum Chromodynamics and Particle Interactions (93 papers), High-Energy Particle Collisions Research (82 papers), Quantum Information and Cryptography (47 papers), Quantum Mechanics and Applications (46 papers), Quantum Computing Algorithms and Architecture (31 papers), Black Holes and Theoretical Physics (12 papers) and Pulsars and Gravitational Waves Research (9 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.9k citations), Atomic and Molecular Physics, and Optics (453 citations), Artificial Intelligence (400 citations), Computational Mathematics (6 citations) and Statistical and Nonlinear Physics (74 citations). Cong‐Feng Qiao has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Ruilin Zhu, Bing-Dong Wan, Liang Tang, Kuang-Ta Chao, Feng Yuan, Xing-Gang Wu, Jian-Xiong Wang, Peng Sun, Junli Li and Long-Bin Chen. Their work appears in journals such as Physical review. D, Physics Letters B, Quantum Information Processing, Physical review. A and The European Physical Journal C.

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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