Xiaoping Li

35 papers receiving 606 citations

Peers

Xiaoping Li
Comparison fields: 5 of 112
  • Cognitive Neuroscience 228
  • Experimental and Cognitive Psychology 144
  • Cardiology and Cardiovascular Medicine 112
  • Instrumentation 17
  • Social Psychology 82
Replace Yisi Liu with:
Yisi Liu Singapore
Neil Davey United Kingdom
Jinnan Gong China
Ünal Sakoğlu United States
Jinwook Jung South Korea
Anna Krakovská Slovakia
R. A. Thuraisingham Australia
Guofa Shou China
R. M. Baevsky Russia
Xiaoping Li relative to Yisi Liu Singapore Yisi Liu's profile →
Citations per field
00.5×2.8×
Yisi Liu · 1×
Citations per year

Countries citing papers authored by Xiaoping Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008132
2 2007112
3 2012104
4 201282
5 201127
6 201622
7 200821
8 201517
9 201510
10 20229
11 20199
12 20116
13 20146
14 20106
15 20146
16 20175
17 20245
18 20185
19 20055
20 20195

About Xiaoping Li

Xiaoping Li is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Spectroscopy, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 37 papers that have together received 631 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Advanced Chemical Physics Studies (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Neuroscience and Neural Engineering (3 papers), Neurological disorders and treatments (3 papers), Sleep and Work-Related Fatigue (3 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Cognitive Neuroscience (228 citations), Experimental and Cognitive Psychology (144 citations), Cardiology and Cardiovascular Medicine (112 citations), Instrumentation (17 citations) and Social Psychology (82 citations). Xiaoping Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kaiquan Shen, Einar Wilder‐Smith, Shiyun Shao, Chong‐Jin Ong, Ke Yu, Martin Abel, Katharine L. C. Hunt, Lothar Frommhold, Kenneth Kwok and Ke Yu. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, PLoS ONE, Clinical Neurophysiology, IEEE Transactions on Magnetics and Applied Physics Letters.

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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