Sizhe Chen

3.4k citations
71 papers · 2.6k · 1 hit paper · h-index 21

Impact in

Papers in

Sizhe Chen

69 papers receiving 2.6k citations

Sizhe Chen's Hit Papers

Target Classification Using the Deep Convolutional Networks for SAR Images 2016 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Sizhe Chen
Comparison fields: 5 of 116
  • Aerospace Engineering 1.1k
  • Ocean Engineering 525
  • Energy Engineering and Power Technology 70
  • Oceanography 236
  • Automotive Engineering 228
Replace Jian Wang with:
Jian Wang China
Xiandong Ma United Kingdom
Feng Zhou China
Yixin Yang China
Gang Wang China
Tao Zhang China
Zhi Zhang China
Xiao Chen China
Xiaofeng Wu China
Sizhe Chen relative to Jian Wang China Jian Wang's profile →
Citations per field
00.5×
Jian Wang · 1×
Citations per year

Countries citing papers authored by Sizhe Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sizhe Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Target Classification Using the Deep Convolutional Networks for SAR Images
Hit paper breakdown →
20161052
2 2016219
3 2014186
4 2014154
5 201693
6 201367
7 201566
8 201565
9 201761
10 202149
11 202343
12 202037
13 202034
14 202029
15 201828
16 201827
17 201724
18 202324
19 202022
20 202322

About Sizhe Chen

Sizhe Chen is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Computational Theory and Mathematics and Aerospace Engineering, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (20 papers), Multilevel Inverters and Converters (16 papers), Silicon Carbide Semiconductor Technologies (15 papers), Microgrid Control and Optimization (14 papers), Advanced Battery Technologies Research (13 papers), HVDC Systems and Fault Protection (9 papers), Advancements in Battery Materials (7 papers) and Electric Vehicles and Infrastructure (6 papers). The work is most often cited by research in Aerospace Engineering (1.1k citations), Ocean Engineering (525 citations), Energy Engineering and Power Technology (70 citations), Oceanography (236 citations) and Automotive Engineering (228 citations). Sizhe Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Haipeng Wang, Feng Xu, Ya‐Qiu Jin, Anbo Meng, Yun Zhang, Hao Yin, Hao Yin, Guidong Zhang, Yucheng Chen and Yuanmao Ye. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Access, IEEE Journal of Emerging and Selected Topics in Power Electronics, Information Sciences and Sustainability.

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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