Huipeng Chen

7.4k citations
213 papers · 6.1k · h-index 48

Impact in

Papers in

Huipeng Chen

203 papers receiving 6.0k citations

Peers

Huipeng Chen
Comparison fields: 5 of 111
  • Polymers and Plastics 2.1k
  • Electrical and Electronic Engineering 4.9k
  • Cellular and Molecular Neuroscience 1.5k
  • Biomedical Engineering 1.5k
  • Bioengineering 156
Replace Wentao Xu with:
Wentao Xu China
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Shilei Dai China
Rui Yang China
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Huipeng Chen relative to Wentao Xu China Wentao Xu's profile →
Citations per field
00.5×1.5×
Wentao Xu · 1×
Citations per year

Countries citing papers authored by Huipeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Huipeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019156
2 2020127
3 2020127
4 2021117
5 2017110
6 2015105
7 2021105
8 2022102
9 2019102
10 2021102
11 2020101
12 202298
13 201998
14 202090
15 202287
16 200987
17 202384
18 200883
19 201882
20 202182

About Huipeng Chen

Huipeng Chen is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Biomedical Engineering, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 213 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (116 papers), Conducting polymers and applications (63 papers), Advanced Sensor and Energy Harvesting Materials (45 papers), Organic Electronics and Photovoltaics (41 papers), Neuroscience and Neural Engineering (32 papers), Perovskite Materials and Applications (31 papers), Photoreceptor and optogenetics research (27 papers) and Neural Networks and Reservoir Computing (24 papers). The work is most often cited by research in Polymers and Plastics (2.1k citations), Electrical and Electronic Engineering (4.9k citations), Cellular and Molecular Neuroscience (1.5k citations), Biomedical Engineering (1.5k citations) and Bioengineering (156 citations). Huipeng Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Tailiang Guo, Enlong Li, Yujie Yan, Yaqian Liu, Xiaomin Wu, Rengjian Yu, Xiumei Wang, Qizhen Chen, Tailiang Guo and Changsong Gao. Their work appears in journals such as Journal of Materials Chemistry C, ACS Applied Materials & Interfaces, Advanced Functional Materials, Science China Materials and IEEE Electron Device 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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