Yuting Li
Impact in
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- Transcranial Magnetic Stimulation Studies
Papers in
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- Functional Brain Connectivity Studies 5
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- Nanoplatforms for cancer theranostics 6
- Muscle activation and electromyography studies 3
- Co-authors
- Shiming He (1 shared paper)Rapinder Sawhney (1 shared paper)Francesca Ciccolini (1 shared paper)Tiziana Cesetti (1 shared paper)Jiangtao Hong (1 shared paper)Chih‐Wei Peng (4 shared papers)Jieyun Guo (1 shared paper)Ying Chen (1 shared paper)
- Journals
- Frontiers in Psychology (4 papers)BMC Pregnancy and Childbirth (3 papers)Journal of Affective Disorders (3 papers)BMC Psychiatry (2 papers)Brain Imaging and Behavior (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuting Li
45 papers receiving 623 citations
Yuting Li's Hit Papers
Peers
Comparison fields: 5 of 120
- Biological Psychiatry 11
- Neurology 34
- Business and International Management 7
- Clinical Psychology 62
- Cognitive Neuroscience 51
Countries citing papers authored by Yuting Li
This map shows the geographic impact of Yuting 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 Yuting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Li more than expected).
Fields of papers citing papers by Yuting Li
This network shows the impact of papers produced by Yuting 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 Yuting Li. The network helps show where Yuting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances and challenges in the treatment of lung cancer Hit paper breakdown → | 2023 | 226 |
| 2 | 2019 | 42 | |
| 3 | 2020 | 32 | |
| 4 | 2024 | 25 | |
| 5 | 2019 | 25 | |
| 6 | 2023 | 23 | |
| 7 | 2012 | 23 | |
| 8 | 2019 | 20 | |
| 9 | 2020 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2009 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Yuting Li
Yuting Li is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Clinical Psychology, Experimental and Cognitive Psychology and Neurology, having authored 52 papers that have together received 630 indexed citations. Recurring topics across this work include Mental Health Research Topics (6 papers), Nanoplatforms for cancer theranostics (6 papers), Functional Brain Connectivity Studies (5 papers), Transcranial Magnetic Stimulation Studies (5 papers), COVID-19 and Mental Health (4 papers), Impact of Technology on Adolescents (3 papers), Muscle activation and electromyography studies (3 papers) and Psychological Well-being and Life Satisfaction (2 papers). The work is most often cited by research in Biological Psychiatry (11 citations), Neurology (34 citations), Business and International Management (7 citations), Clinical Psychology (62 citations) and Cognitive Neuroscience (51 citations). Yuting Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shiming He, Rapinder Sawhney, Francesca Ciccolini, Tiziana Cesetti, Jiangtao Hong, Chih‐Wei Peng, Jieyun Guo, Ying Chen, Wei Chang and Dingli Wang. Their work appears in journals such as Frontiers in Psychology, BMC Pregnancy and Childbirth, Journal of Affective Disorders, BMC Psychiatry and Brain Imaging and Behavior.
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.