Rong Li
Impact in
-
- Functional Brain Connectivity Studies
Papers in
-
- Functional Brain Connectivity Studies 11
- Neural dynamics and brain function 7
- EEG and Brain-Computer Interfaces 3
- Co-authors
- Huafu Chen (17 shared papers)Xuyang Wang (13 shared papers)Peter J. Bergold (1 shared paper)Sean Bong Lee (1 shared paper)Mariano Estéban (1 shared paper)Ding Ding (1 shared paper)S Moskowitz (1 shared paper)Jane Chan (1 shared paper)
- Journals
- Human Brain Mapping (4 papers)Frontiers in Immunology (2 papers)Communications Biology (2 papers)Cerebral Cortex (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Rong Li
84 papers receiving 706 citations
Peers
Comparison fields: 5 of 158
- Health Informatics 10
- Cognitive Neuroscience 99
- Cellular and Molecular Neuroscience 66
- Neurology 51
- Pharmaceutical Science 20
Countries citing papers authored by Rong Li
This map shows the geographic impact of Rong 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 Rong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong Li more than expected).
Fields of papers citing papers by Rong Li
This network shows the impact of papers produced by Rong 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 Rong Li. The network helps show where Rong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Rong 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 99 | |
| 2 | 2021 | 38 | |
| 3 | 2023 | 37 | |
| 4 | 2007 | 31 | |
| 5 | 2014 | 26 | |
| 6 | 2021 | 22 | |
| 7 | 2018 | 21 | |
| 8 | 2010 | 19 | |
| 9 | 2017 | 19 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2023 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2024 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2006 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2022 | 12 |
About Rong Li
Rong Li is a scholar working on Molecular Biology, Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 93 papers that have together received 732 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Distributed Control Multi-Agent Systems (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Health Informatics (10 citations), Cognitive Neuroscience (99 citations), Cellular and Molecular Neuroscience (66 citations), Neurology (51 citations) and Pharmaceutical Science (20 citations). Rong Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Huafu Chen, Xuyang Wang, Peter J. Bergold, Sean Bong Lee, Mariano Estéban, Ding Ding, S Moskowitz, Jane Chan, Kevin J. Tomaselli and Anyi Wang. Their work appears in journals such as Human Brain Mapping, Frontiers in Immunology, Communications Biology, Cerebral Cortex and European Journal of Nuclear Medicine and Molecular Imaging.
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.