Chun-Ping Chen
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Graphene research and applications 4
- MXene and MAX Phase Materials 2
- 2D Materials and Applications 1
- Boron and Carbon Nanomaterials Research 1
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- Polymer Foaming and Composites 1
- Co-authors
- Lusi Zhao (6 shared papers)Xiaochun Wang (6 shared papers)Linlin Liu (4 shared papers)Ying Wang (2 shared papers)Yuejia Luo (2 shared papers)Pengfei Xu (2 shared papers)Ruiwang Huang (2 shared papers)Hongxia Yu (3 shared papers)
- Journals
- Neuropsychologia (1 paper)RSC Advances (1 paper)Carbon (1 paper)Journal of Cellular Plastics (1 paper)NeuroImage (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chun-Ping Chen
9 papers receiving 445 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 146
- Process Chemistry and Technology 20
- Materials Chemistry 204
- Renewable Energy, Sustainability and the Environment 43
- Catalysis 17
Countries citing papers authored by Chun-Ping Chen
This map shows the geographic impact of Chun-Ping 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 Chun-Ping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Ping Chen more than expected).
Fields of papers citing papers by Chun-Ping Chen
This network shows the impact of papers produced by Chun-Ping 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 Chun-Ping Chen. The network helps show where Chun-Ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Ping Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 139 | |
| 2 | 2016 | 78 | |
| 3 | 2017 | 51 | |
| 4 | 2012 | 39 | |
| 5 | 2017 | 38 | |
| 6 | 2019 | 34 | |
| 7 | 2017 | 31 | |
| 8 | 2018 | 23 | |
| 9 | 2017 | 15 |
About Chun-Ping Chen
Chun-Ping Chen is a scholar working on Materials Chemistry, Polymers and Plastics, Process Chemistry and Technology, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 9 papers that have together received 448 indexed citations. Recurring topics across this work include Graphene research and applications (4 papers), Gas Sensing Nanomaterials and Sensors (2 papers), MXene and MAX Phase Materials (2 papers), Advancements in Battery Materials (2 papers), 2D Materials and Applications (1 paper), Neural and Behavioral Psychology Studies (1 paper), Polymer Foaming and Composites (1 paper) and Boron and Carbon Nanomaterials Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (146 citations), Process Chemistry and Technology (20 citations), Materials Chemistry (204 citations), Renewable Energy, Sustainability and the Environment (43 citations) and Catalysis (17 citations). Chun-Ping Chen has collaborated with scholars based in China and United States. Frequent co-authors include Lusi Zhao, Xiaochun Wang, Linlin Liu, Ying Wang, Yuejia Luo, Pengfei Xu, Ruiwang Huang, Hongxia Yu, Jinhui Wang and Zhang-Ye Dong. Their work appears in journals such as Neuropsychologia, RSC Advances, Carbon, Journal of Cellular Plastics and NeuroImage.
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.