Yang Xuan

1.5k citations
48 papers · 1.1k · h-index 17

Impact in

Papers in

Yang Xuan

43 papers receiving 1.1k citations

Peers

Yang Xuan
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 203
  • Pathology and Forensic Medicine 147
  • Automotive Engineering 99
  • Neurology 106
  • Electrical and Electronic Engineering 415
Replace Takashi Ueta with:
Takashi Ueta Japan
Kengo Suzuki Japan
Dongya Huang China
Kyung Rae Cho South Korea
Shuangfei Ni China
Alexander Hoffmann Germany
Yuta Fukushima Japan
Eloy Rivas Spain
Dong‐Hyuk Park South Korea
Andrey Kazakov Russia
Yang Xuan relative to Takashi Ueta Japan Takashi Ueta's profile →
Citations per field
00.5×9.8×
Takashi Ueta · 1×
Citations per year

Countries citing papers authored by Yang Xuan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Xuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009256
2 2020114
3 2018101
4 201965
5 200865
6 201158
7 200543
8 200633
9 201932
10 202029
11 201728
12 201721
13 201718
14 201618
15 201717
16 200916
17 200716
18 201612
19 201612
20 201510

About Yang Xuan

Yang Xuan is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Surgery, Control and Systems Engineering and Pathology and Forensic Medicine, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (10 papers), Microgrid Control and Optimization (7 papers), Vascular Malformations and Hemangiomas (7 papers), Multilevel Inverters and Converters (6 papers), Advanced MRI Techniques and Applications (6 papers), Silicon Carbide Semiconductor Technologies (5 papers), HVDC Systems and Fault Protection (4 papers) and Electromagnetic Compatibility and Noise Suppression (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (203 citations), Pathology and Forensic Medicine (147 citations), Automotive Engineering (99 citations), Neurology (106 citations) and Electrical and Electronic Engineering (415 citations). Yang Xuan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xu Yang, Wenjie Chen, Xiang Hao, Tao Liu, Jiani Hu, Zahid Latif, Lang Huang, E. Mark Haacke, Vivek Sehgal and Omar Khan. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Magnetic Resonance Imaging, IEEE Transactions on Power Electronics, Medical Physics and Cancer 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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