Penghai Li

446 citations
22 papers · 312 · h-index 10

Impact in

Papers in

Penghai Li

18 papers receiving 307 citations

Peers

Penghai Li
Comparison fields: 5 of 60
  • Electrochemistry 53
  • Bioengineering 35
  • Cognitive Neuroscience 81
  • Polymers and Plastics 44
  • Cellular and Molecular Neuroscience 52
Replace Xiuwei Xuan with:
Xiuwei Xuan China
In Young Kim South Korea
Sayali Upasham United States
Fupeng Gao China
Kyung‐Sun Lee South Korea
Robert Rechenberg United States
Daishi Takahashi Japan
Dimitris Tsoukalas Greece
Dongsung Park South Korea
Matteo Parmeggiani Italy
Penghai Li relative to Xiuwei Xuan China Xiuwei Xuan's profile →
Citations per field
00.5×3.4×
Xiuwei Xuan · 1×
Citations per year

Countries citing papers authored by Penghai Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Penghai Li Line = papers co-authored together Penghai Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 202236
3 202134
4 202128
5 202128
6 201427
7 201925
8 201723
9 201917
10 202212
11 20239
12 20236
13 20234
14 20204
15 20243
16 20222
17 20231
18 20221
19 20131
20 20250

About Penghai Li

Penghai Li is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering and Electrochemistry, having authored 22 papers that have together received 312 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neuroscience and Neural Engineering (8 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), Conducting polymers and applications (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Electrochemistry (53 citations), Bioengineering (35 citations), Cognitive Neuroscience (81 citations), Polymers and Plastics (44 citations) and Cellular and Molecular Neuroscience (52 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, Guilian Wang, Yongbing Long, Xiuwei Xuan, Zheng Wang, Lifang Xue and Yuming Xue. Their work appears in journals such as Sensors and Actuators A Physical, Analytica Chimica Acta, Materials Science and Engineering C, Bio-Medical Materials and Engineering and Carbon.

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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