Xinwei Sun

1.1k citations
72 papers · 708 · h-index 13

Impact in

Papers in

Xinwei Sun

60 papers receiving 689 citations

Peers

Xinwei Sun
Comparison fields: 5 of 103
  • Control and Systems Engineering 250
  • Automotive Engineering 90
  • Artificial Intelligence 194
  • Computer Networks and Communications 122
  • Computational Mathematics 3
Replace R. Vimal Karthick with:
R. Vimal Karthick India
Yao Liu China
Muhammad Usman Asad Pakistan
Javad Rahebi Türkiye
Liang Shan China
Guoqiang Li China
Zhilin Feng China
Huiming Wang China
Hani H. Attar Jordan
Xinwei Sun relative to R. Vimal Karthick India R. Vimal Karthick's profile →
Citations per field
00.5×2×4×6×8×10×
R. Vimal Karthick · 1×
Citations per year

Countries citing papers authored by Xinwei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xinwei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018182
2 2023100
3 201935
4 201431
5 202231
6 202129
7 201925
8 202323
9 201521
10 202418
11
Recovering Latent Causal Factor for Generalization to Distributional Shifts
202116
12 202016
13 202215
14 202312
15 202411
16 201711
17 20229
18 20218
19 20238
20 20228

About Xinwei Sun

Xinwei Sun is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Energy Engineering and Power Technology, having authored 72 papers that have together received 708 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (11 papers), HVDC Systems and Fault Protection (9 papers), High-Voltage Power Transmission Systems (8 papers), Power System Optimization and Stability (6 papers), Power Systems and Renewable Energy (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Optimal Power Flow Distribution (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Control and Systems Engineering (250 citations), Automotive Engineering (90 citations), Artificial Intelligence (194 citations), Computer Networks and Communications (122 citations) and Computational Mathematics (3 citations). Xinwei Sun has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shaowei Huang, Ying Chen, Feng Liu, Yizhou Wang, Yanwei Fu, Kai Wang, Licheng Wang, Yang Zhang, Yongcheng Zhang and Botong Wu. Their work appears in journals such as Energies, IEEE Transactions on Pattern Analysis and Machine Intelligence, Electronics, Journal of Energy Storage and Machine Learning.

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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