Keye Zhang

859 citations
44 papers · 614 · h-index 14

Impact in

Papers in

Keye Zhang

39 papers receiving 567 citations

Peers

Keye Zhang
Comparison fields: 5 of 33
  • Statistical and Nonlinear Physics 278
  • Atomic and Molecular Physics, and Optics 542
  • Artificial Intelligence 239
  • Civil and Structural Engineering 106
  • Electrical and Electronic Engineering 114
Replace Karl Nicolas Tolazzi with:
Karl Nicolas Tolazzi Germany
Francesco Bariani United States
Patrick P. Potts Switzerland
Maicol A. Ochoa United States
Junjie Liu China
G. Mahler Germany
Georg Engelhardt China
Dingshun Lv China
K. T. Kaczmarek United Kingdom
Y. Yoon United States
Keye Zhang relative to Karl Nicolas Tolazzi Germany Karl Nicolas Tolazzi's profile →
Citations per field
00.5×1.7×
Karl Nicolas Tolazzi · 1×
Citations per year

Countries citing papers authored by Keye Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Keye Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014181
2 201454
3 201552
4 201029
5 201525
6 201824
7 201322
8 201821
9 201218
10 201818
11 201717
12 201116
13 202015
14 201113
15 201511
16 201611
17 201911
18 20149
19 20118
20 20216

About Keye Zhang

Keye Zhang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 44 papers that have together received 614 indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (21 papers), Cold Atom Physics and Bose-Einstein Condensates (21 papers), Quantum Information and Cryptography (16 papers), Atomic and Subatomic Physics Research (10 papers), Advanced Thermodynamics and Statistical Mechanics (10 papers), Quantum optics and atomic interactions (9 papers), Thermal Radiation and Cooling Technologies (6 papers) and Strong Light-Matter Interactions (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (278 citations), Atomic and Molecular Physics, and Optics (542 citations), Artificial Intelligence (239 citations), Civil and Structural Engineering (106 citations) and Electrical and Electronic Engineering (114 citations). Keye Zhang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Pierre Meystre, Francesco Bariani, Weiping Zhang, Weiping Zhang, Ying Dong, Lu Zhou, Chun-Hua Yuan, Han Pu, L. Q. Chen and Hong Y. Ling. Their work appears in journals such as Physical review. A, Physical Review Letters, Physical Review A, Photonics Research and Optics Express.

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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