Penghai Li
Impact in
- Electrochemistry top 10%
- Electrochemical Analysis and Applications
- Bioengineering top 10%
- Analytical Chemistry and Sensors
Papers in
-
- EEG and Brain-Computer Interfaces 12
- Neural dynamics and brain function 3
-
- Advanced Memory and Neural Computing 4
- Electrochemical sensors and biosensors 4
- Co-authors
- Hongji Li (11 shared papers)Mingji Li (11 shared papers)Cuiping Li (6 shared papers)Baohe Yang (3 shared papers)Yongbing Long (2 shared papers)Guilian Wang (2 shared papers)Xiuwei Xuan (4 shared papers)Zheng Wang (1 shared paper)
- Journals
- Materials Science and Engineering C (2 papers)Analytica Chimica Acta (2 papers)Sensors and Actuators A Physical (2 papers)Carbon (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- ChinaUnited Arab EmiratesJapan
In The Last Decade
Penghai Li
21 papers receiving 340 citations
Peers
Comparison fields: 5 of 60
- Electrochemistry 61
- Bioengineering 40
- Cognitive Neuroscience 98
- Polymers and Plastics 44
- Cellular and Molecular Neuroscience 55
Countries citing papers authored by Penghai Li
This map shows the geographic impact of Penghai Li'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 Penghai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penghai Li more than expected).
Fields of papers citing papers by Penghai Li
This network shows the impact of papers produced by Penghai Li. 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 Penghai Li. The network helps show where Penghai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Penghai Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2022 | 37 | |
| 3 | 2021 | 34 | |
| 4 | 2021 | 31 | |
| 5 | 2014 | 29 | |
| 6 | 2021 | 28 | |
| 7 | 2019 | 26 | |
| 8 | 2017 | 23 | |
| 9 | 2019 | 18 | |
| 10 | 2022 | 13 | |
| 11 | 2014 | 13 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Penghai Li
Penghai Li is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Signal Processing and Biomedical Engineering, having authored 25 papers that have together received 348 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (8 papers), Blind Source Separation Techniques (5 papers), Advanced Memory and Neural Computing (4 papers), Electrochemical sensors and biosensors (4 papers), Electrochemical Analysis and Applications (4 papers), Neural dynamics and brain function (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Electrochemistry (61 citations), Bioengineering (40 citations), Cognitive Neuroscience (98 citations), Polymers and Plastics (44 citations) and Cellular and Molecular Neuroscience (55 citations). Penghai Li has collaborated with scholars based in China, United Arab Emirates and Japan. Frequent co-authors include Hongji Li, Mingji Li, Cuiping Li, Baohe Yang, Yongbing Long, Guilian Wang, Xiuwei Xuan, Zheng Wang, Lifang Xue and Sai Liu. Their work appears in journals such as Materials Science and Engineering C, Analytica Chimica Acta, Sensors and Actuators A Physical, Carbon and Frontiers in Neuroscience.
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.