Keying Chen

44 papers receiving 885 citations

Peers

Keying Chen
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 255
  • Electrochemistry 56
  • Inorganic Chemistry 117
  • Renewable Energy, Sustainability and the Environment 123
  • Neurology 55
Replace Yu Xing with:
Yu Xing China
Na Wu China
Jinfan Zhang China
Muthusamy Eswaramoorthy India
Bingzhe Xu China
Tae Kyung Kim South Korea
Hailian Xiao China
Shahnaz Qadri United States
Hyunwoo Yang South Korea
Keying Chen relative to Yu Xing China Yu Xing's profile →
Citations per field
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Citations per year

Countries citing papers authored by Keying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Keying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 2006107
3 201875
4 202245
5 201145
6 202145
7 202144
8 201740
9 202036
10 201835
11 202132
12 202228
13 202426
14 202121
15 202319
16 202419
17 202219
18 202015
19 201112
20 202111

About Keying Chen

Keying Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 57 papers that have together received 891 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), EEG and Brain-Computer Interfaces (6 papers), Advanced Photocatalysis Techniques (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (4 papers) and Electrocatalysts for Energy Conversion (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (255 citations), Electrochemistry (56 citations), Inorganic Chemistry (117 citations), Renewable Energy, Sustainability and the Environment (123 citations) and Neurology (55 citations). Keying Chen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Smaranda C. Marinescu, Courtney A. Downes, Takashi D.Y. Kozai, Joseph W. Yoo, Andrew J. Clough, Evon S. Ereifej, Feng He, Jeffrey R. Capadona, Jason D. Goodpaster and Chengxi Cao. Their work appears in journals such as Biomaterials, ACS Applied Materials & Interfaces, Advanced Functional Materials, PLoS ONE and Annals of Translational Medicine.

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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