Linling Li
Impact in
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- Ginkgo biloba and Cashew Applications
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
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- EEG and Brain-Computer Interfaces 21
- Functional Brain Connectivity Studies 16
- Neural dynamics and brain function 12
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- Plant Gene Expression Analysis 11
- Co-authors
- Hua Cheng (40 shared papers)Shuiyuan Cheng (34 shared papers)Gi Xue (25 shared papers)Dongshan Zhou (23 shared papers)Zhiguo Zhang (44 shared papers)Gan Huang (38 shared papers)Feng Xu (12 shared papers)Zhen Liang (33 shared papers)
- Journals
- Macromolecules (8 papers)Frontiers in Neuroscience (7 papers)NeuroImage (6 papers)Polymer (4 papers)Journal of Affective Disorders (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Linling Li
203 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 169
- Complementary and alternative medicine 271
- Cognitive Neuroscience 516
- Biochemistry 120
- Experimental and Cognitive Psychology 253
- Polymers and Plastics 261
Countries citing papers authored by Linling Li
This map shows the geographic impact of Linling 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 Linling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linling Li more than expected).
Fields of papers citing papers by Linling Li
This network shows the impact of papers produced by Linling 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 Linling Li. The network helps show where Linling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Linling 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 209 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 196 | |
| 2 | 2016 | 134 | |
| 3 | 2013 | 121 | |
| 4 | 2011 | 117 | |
| 5 | 2013 | 101 | |
| 6 | 2020 | 100 | |
| 7 | 2019 | 88 | |
| 8 | 2010 | 84 | |
| 9 | 2019 | 81 | |
| 10 | 2021 | 79 | |
| 11 | 2016 | 73 | |
| 12 | 2009 | 63 | |
| 13 | 2023 | 61 | |
| 14 | 2013 | 60 | |
| 15 | 2012 | 59 | |
| 16 | 2014 | 44 | |
| 17 | 2020 | 43 | |
| 18 | 2015 | 43 | |
| 19 | 2012 | 42 | |
| 20 | 2020 | 40 |
About Linling Li
Linling Li is a scholar working on Cognitive Neuroscience, Molecular Biology, Materials Chemistry, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 209 papers that have together received 3.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (21 papers), Ginkgo biloba and Cashew Applications (17 papers), Functional Brain Connectivity Studies (16 papers), Pain Mechanisms and Treatments (15 papers), Material Dynamics and Properties (13 papers), Neural dynamics and brain function (12 papers), Selenium in Biological Systems (12 papers) and Plant Gene Expression Analysis (11 papers). The work is most often cited by research in Complementary and alternative medicine (271 citations), Cognitive Neuroscience (516 citations), Biochemistry (120 citations), Experimental and Cognitive Psychology (253 citations) and Polymers and Plastics (261 citations). Linling Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hua Cheng, Shuiyuan Cheng, Gi Xue, Dongshan Zhou, Zhiguo Zhang, Gan Huang, Feng Xu, Zhen Liang, Li Zhang and Nian Liu. Their work appears in journals such as Macromolecules, Frontiers in Neuroscience, NeuroImage, Polymer and Journal of Affective Disorders.
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.