Kun Xu

8.0k citations
403 papers · 5.4k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Kun Xu

351 papers receiving 5.1k citations

Hit Papers

Machine learning in materials science 2019 · 707 citations
7072019202620212023200400600

Peers

Kun Xu
Comparison fields: 5 of 134
  • Acoustics and Ultrasonics 82
  • Atomic and Molecular Physics, and Optics 2.1k
  • Electrical and Electronic Engineering 3.5k
  • Biomedical Engineering 880
  • Instrumentation 67
Replace Siyuan Yu with:
Siyuan Yu China
Weisheng Hu China
Ying Li China
Hongwei Chen China
Richard V. Penty United Kingdom
Junfeng Song China
Chao Shen China
Xiaoying Li China
Yanfeng Zhang China
Zhenlin Wang China
Kun Xu relative to Siyuan Yu China Siyuan Yu's profile →
Citations per field
00.5×1.5×
Siyuan Yu · 1×
Citations per year

Countries citing papers authored by Kun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20251
5 20240
6 20242
7 20241
8 20241
9 202314
10 20231
11 202215
12 202125
13 20211
14 202030
15 201919
16 20188
17 20189
18 201818
19 201729
20 201622

About Kun Xu

Kun Xu is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Acoustics and Ultrasonics, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 403 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (202 papers), Optical Network Technologies (189 papers), Advanced Fiber Laser Technologies (166 papers), Photonic and Optical Devices (122 papers), Advanced Fiber Optic Sensors (41 papers), Neural Networks and Reservoir Computing (31 papers), Photonic Crystal and Fiber Optics (26 papers) and Plasmonic and Surface Plasmon Research (21 papers). The work is most often cited by research in Acoustics and Ultrasonics (82 citations), Atomic and Molecular Physics, and Optics (2.1k citations), Electrical and Electronic Engineering (3.5k citations), Biomedical Engineering (880 citations) and Instrumentation (67 citations). Kun Xu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jian Wu, Jianqiang Li, Feifei Yin, Jing Wei, Xuan Chu, Yitang Dai, Jintong Lin, Zhenming Yu, Hui‐Xiong Deng and Xiangyu Sun. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, IEEE Photonics Technology Letters, IEEE photonics journal and Optics Letters.

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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