Xi Yuan

519 citations
46 papers · 400 · h-index 13

Impact in

Papers in

Xi Yuan

39 papers receiving 386 citations

Peers

Xi Yuan
Comparison fields: 5 of 59
  • Condensed Matter Physics 107
  • Biomedical Engineering 127
  • Control and Systems Engineering 64
  • Electronic, Optical and Magnetic Materials 42
  • Electrical and Electronic Engineering 120
Replace Gino D’Ovidio with:
Gino D’Ovidio Italy
Pascal Nicolay Austria
Deng Pan China
C.A. Baldan Brazil
K V Osintsev Russia
I. Ishii Japan
Chin‐Tai Chen Taiwan
Alireza Grayeli Korpi Iran
Stanislav Jurečka Slovakia
Xi Yuan relative to Gino D’Ovidio Italy Gino D’Ovidio's profile →
Citations per field
00.5×5.3×
Gino D’Ovidio · 1×
Citations per year

Countries citing papers authored by Xi Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Xi Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202240
2 201933
3 200131
4 200631
5 201823
6 202321
7 201320
8 202215
9 202215
10 201814
11 201814
12 201013
13 202013
14 201911
15 20199
16 20169
17 20199
18
Simulation research of the multi-variable generalized predictive control in 500MW unit plant coordinated control system
20118
19 20188
20 20198

About Xi Yuan

Xi Yuan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Condensed Matter Physics, Control and Systems Engineering and Electronic, Optical and Magnetic Materials, having authored 46 papers that have together received 400 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (13 papers), Superconducting Materials and Applications (11 papers), HVDC Systems and Fault Protection (6 papers), Magnetic and transport properties of perovskites and related materials (6 papers), Advanced Control Systems Optimization (5 papers), Frequency Control in Power Systems (4 papers), Process Optimization and Integration (3 papers) and High-Voltage Power Transmission Systems (3 papers). The work is most often cited by research in Condensed Matter Physics (107 citations), Biomedical Engineering (127 citations), Control and Systems Engineering (64 citations), Electronic, Optical and Magnetic Materials (42 citations) and Electrical and Electronic Engineering (120 citations). Xi Yuan has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Yinshun Wang, Chi‐Wei Su, Yoshihiro TOMITA, Muhammad Umar, Hao Chen, Ran Tao, Kun Yu, C.J. Liu, Ming Zhu and Yanbing Hou. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Chemical Engineering Science, Industrial & Engineering Chemistry Research, Carbohydrate Polymers and Annals of Operations Research.

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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