Xiao-Bo Yan

530 citations
23 papers · 380 · h-index 12

Impact in

Papers in

Xiao-Bo Yan

23 papers receiving 318 citations

Peers

Xiao-Bo Yan
Comparison fields: 5 of 31
  • Atomic and Molecular Physics, and Optics 366
  • Artificial Intelligence 151
  • Electrical and Electronic Engineering 248
  • Acoustics and Ultrasonics 3
  • Statistical and Nonlinear Physics 12
Replace Rong‐Can Yang with:
Rong‐Can Yang China
W. Z. Jia China
Wenxue Zhong China
C. Molinelli France
Baptiste Gouraud France
Ya‐Feng Jiao China
Sh. Barzanjeh Iran
Tian-Xiang Lu China
Xue-Dong Tian China
Akshay Koottandavida United States
Xiao-Bo Yan relative to Rong‐Can Yang China Rong‐Can Yang's profile →
Citations per field
00.5×10×12.8×
Rong‐Can Yang · 1×
Citations per year

Countries citing papers authored by Xiao-Bo Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Bo Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201460
2 201450
3 202034
4 201631
5 201527
6 201724
7 201323
8 201921
9 201520
10 201413
11 201412
12 201211
13 200610
14 20149
15 20219
16
Prevalence and risk factors of anxiety and depression in Chinese patients with lung cancer: a cross-sectional study
20196
17 20156
18 20134
19 20233
20 20093

About Xiao-Bo Yan

Xiao-Bo Yan is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Mechanics of Materials, having authored 23 papers that have together received 380 indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (16 papers), Photonic and Optical Devices (11 papers), Quantum Information and Cryptography (8 papers), Quantum optics and atomic interactions (6 papers), Advanced MEMS and NEMS Technologies (5 papers), Advanced Fiber Laser Technologies (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (366 citations), Artificial Intelligence (151 citations), Electrical and Electronic Engineering (248 citations), Acoustics and Ultrasonics (3 citations) and Statistical and Nonlinear Physics (12 citations). Xiao-Bo Yan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jin‐Hui Wu, Cui-Li Cui, Xue-Dong Tian, Yan Zhang, Yi-Mou Liu, Jin-Hui Wu, Ying-Dan Wang, Chun-Wang Wu, Zhi Jiao Deng and Xin Wang. Their work appears in journals such as Optics Communications, Physical review. A, Frontiers of Physics, Physical Review A 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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