Chun-Ping Chen
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
Papers in
-
- Graphene research and applications 4
- MXene and MAX Phase Materials 2
- ZnO doping and properties 1
- 2D Materials and Applications 1
-
- Advancements in Battery Materials 2
- Gas Sensing Nanomaterials and Sensors 2
- Co-authors
- Xiaochun Wang (6 shared papers)Lusi Zhao (6 shared papers)Linlin Liu (4 shared papers)Ruiwang Huang (2 shared papers)Pengfei Xu (2 shared papers)Yuejia Luo (2 shared papers)Ying Wang (2 shared papers)Hongxia Yu (3 shared papers)
- Journals
- Applied Surface Science (1 paper)Journal of Cellular Plastics (1 paper)Neuropsychologia (1 paper)Carbon (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chun-Ping Chen
9 papers receiving 424 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 140
- Process Chemistry and Technology 19
- Materials Chemistry 195
- Renewable Energy, Sustainability and the Environment 42
- Experimental and Cognitive Psychology 29
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 | 132 | |
| 2 | 2016 | 76 | |
| 3 | 2017 | 51 | |
| 4 | 2012 | 37 | |
| 5 | 2017 | 35 | |
| 6 | 2019 | 31 | |
| 7 | 2017 | 30 | |
| 8 | 2018 | 20 | |
| 9 | 2017 | 14 |
About Chun-Ping Chen
Chun-Ping Chen is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Cognitive Neuroscience, Polymers and Plastics and Process Chemistry and Technology, having authored 9 papers that have together received 426 indexed citations. Recurring topics across this work include Graphene research and applications (4 papers), Advancements in Battery Materials (2 papers), MXene and MAX Phase Materials (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers), ZnO doping and properties (1 paper), 2D Materials and Applications (1 paper), Memory Processes and Influences (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (140 citations), Process Chemistry and Technology (19 citations), Materials Chemistry (195 citations), Renewable Energy, Sustainability and the Environment (42 citations) and Experimental and Cognitive Psychology (29 citations). Chun-Ping Chen has collaborated with scholars based in China and United States. Frequent co-authors include Xiaochun Wang, Lusi Zhao, Linlin Liu, Ruiwang Huang, Pengfei Xu, Yuejia Luo, Ying Wang, Hongxia Yu, Teng Xie and Jin Fan. Their work appears in journals such as Applied Surface Science, Journal of Cellular Plastics, Neuropsychologia, Carbon and RSC Advances.
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.