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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- Functional Brain Connectivity Studies 22
- EEG and Brain-Computer Interfaces 22
- Neural dynamics and brain function 17
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- Plant Gene Expression Analysis 11
- Co-authors
- Hua Cheng (39 shared papers)Shuiyuan Cheng (36 shared papers)Gi Xue (25 shared papers)Dongshan Zhou (23 shared papers)Feng Xu (12 shared papers)Zhiguo Zhang (44 shared papers)Gan Huang (38 shared papers)Zhen Liang (33 shared papers)
- Journals
- Macromolecules (8 papers)Frontiers in Neuroscience (7 papers)NeuroImage (6 papers)Journal of Affective Disorders (4 papers)Polymer (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Linling Li
196 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 172
- Complementary and alternative medicine 276
- Cognitive Neuroscience 554
- Biochemistry 119
- Experimental and Cognitive Psychology 256
- Polymers and Plastics 255
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 207 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 190 | |
| 2 | 2016 | 130 | |
| 3 | 2013 | 117 | |
| 4 | 2011 | 113 | |
| 5 | 2013 | 96 | |
| 6 | 2020 | 94 | |
| 7 | 2019 | 87 | |
| 8 | 2010 | 83 | |
| 9 | 2019 | 79 | |
| 10 | 2021 | 70 | |
| 11 | 2016 | 65 | |
| 12 | 2009 | 59 | |
| 13 | 2013 | 57 | |
| 14 | 2012 | 57 | |
| 15 | 2023 | 56 | |
| 16 | 2015 | 43 | |
| 17 | 2020 | 41 | |
| 18 | 2012 | 41 | |
| 19 | 2014 | 40 | |
| 20 | 2014 | 39 |
About Linling Li
Linling Li is a scholar working on Cognitive Neuroscience, Molecular Biology, Materials Chemistry, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 207 papers that have together received 3.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (17 papers), Ginkgo biloba and Cashew Applications (17 papers), Pain Mechanisms and Treatments (15 papers), Material Dynamics and Properties (13 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 (276 citations), Cognitive Neuroscience (554 citations), Biochemistry (119 citations), Experimental and Cognitive Psychology (256 citations) and Polymers and Plastics (255 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, Feng Xu, Zhiguo Zhang, Gan Huang, Zhen Liang, Li Zhang and Nian Liu. Their work appears in journals such as Macromolecules, Frontiers in Neuroscience, NeuroImage, Journal of Affective Disorders and Polymer.
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.