Shaohua Chen

4.3k total citations · 2 hit papers
70 papers, 3.7k citations indexed

About

Shaohua Chen is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Shaohua Chen has authored 70 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 24 papers in Electrical and Electronic Engineering and 18 papers in Polymers and Plastics. Recurrent topics in Shaohua Chen's work include Advanced Sensor and Energy Harvesting Materials (19 papers), Conducting polymers and applications (11 papers) and Advancements in Battery Materials (10 papers). Shaohua Chen is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (19 papers), Conducting polymers and applications (11 papers) and Advancements in Battery Materials (10 papers). Shaohua Chen collaborates with scholars based in China, Singapore and United States. Shaohua Chen's co-authors include Hui–Ming Cheng, Ling Qiu, Meifang Zhu, Wujun Ma, Shengyuan Yang, Yanhua Cheng, Wenping Chen, Wei Weng, Pooi See Lee and Bilu Liu and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Shaohua Chen

67 papers receiving 3.7k citations

Hit Papers

Carbon-Based Fibers for Advanced Electrochemical Energy S... 2019 2026 2021 2023 2020 2019 100 200 300 400

Peers

Shaohua Chen
Comparison fields: 5 of 93
  • Electronic, Optical and Magnetic Materials 1.5k
  • Electrical and Electronic Engineering 1.4k
  • Materials Chemistry 1.2k
  • Biomedical Engineering 1.2k
  • Polymers and Plastics 1.0k
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Seyed Hamed Aboutalebi Iran
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Jiali Yu China View profile →
Citations per field, relative to Shaohua Chen
Shaohua Chen · 1×
Citations per year, relative to Shaohua Chen
Shaohua Chen · 1×

Countries citing papers authored by Shaohua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Chen. A scholar is included among the top collaborators of Shaohua Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaohua Chen. Shaohua Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 8
3 1
4 1
5 4
6 13
7 10
8 4
9 3
10 4
11 12
12 59
13 30
14 9
15 84
16 74
17 72
18 71
19 116
20
Control of nested DC-link voltage for dual three-point StatCom
1

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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