Lin Ai
Impact in
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- Acupuncture Treatment Research Studies
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Neurology 18
- Autoimmune Neurological Disorders and Treatments 13
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- Dementia and Cognitive Impairment Research 8
- Epilepsy research and treatment 7
- Co-authors
- Jie Tian (8 shared papers)Lijun Bai (7 shared papers)Xiaobin Zhao (16 shared papers)Wei Qin (3 shared papers)Qiyong Gong (2 shared papers)Peng Chen (2 shared papers)Di Fan (9 shared papers)Jianping Dai (8 shared papers)
- Journals
- Frontiers in Neurology (6 papers)CNS Neuroscience & Therapeutics (5 papers)Journal of Neuro-Oncology (4 papers)European Journal of Nuclear Medicine and Molecular Imaging (3 papers)Frontiers in Immunology (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lin Ai
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Complementary and alternative medicine 223
- Genetics 227
- Psychiatry and Mental health 197
- Cognitive Neuroscience 252
- Neurology 165
Countries citing papers authored by Lin Ai
This map shows the geographic impact of Lin Ai'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 Lin Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ai more than expected).
Fields of papers citing papers by Lin Ai
This network shows the impact of papers produced by Lin Ai. 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 Lin Ai. The network helps show where Lin Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Ai, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 124 | |
| 2 | 2010 | 98 | |
| 3 | 2016 | 74 | |
| 4 | 2019 | 61 | |
| 5 | 2012 | 60 | |
| 6 | 2022 | 57 | |
| 7 | 2013 | 51 | |
| 8 | 2022 | 45 | |
| 9 | 2010 | 43 | |
| 10 | 2020 | 36 | |
| 11 | 2019 | 36 | |
| 12 | 2018 | 36 | |
| 13 | 2013 | 35 | |
| 14 | 2012 | 30 | |
| 15 | 2019 | 29 | |
| 16 | 2017 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2010 | 23 | |
| 19 | 2013 | 22 | |
| 20 | 2017 | 22 |
About Lin Ai
Lin Ai is a scholar working on Neurology, Psychiatry and Mental health, Genetics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 97 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Autoimmune Neurological Disorders and Treatments (13 papers), Dementia and Cognitive Impairment Research (8 papers), Epilepsy research and treatment (7 papers), Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Alzheimer's disease research and treatments (6 papers) and Acupuncture Treatment Research Studies (5 papers). The work is most often cited by research in Complementary and alternative medicine (223 citations), Genetics (227 citations), Psychiatry and Mental health (197 citations), Cognitive Neuroscience (252 citations) and Neurology (165 citations). Lin Ai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jie Tian, Lijun Bai, Xiaobin Zhao, Wei Qin, Qiyong Gong, Peng Chen, Di Fan, Jianping Dai, Qian Chen and Youbo You. Their work appears in journals such as Frontiers in Neurology, CNS Neuroscience & Therapeutics, Journal of Neuro-Oncology, European Journal of Nuclear Medicine and Molecular Imaging and Frontiers in Immunology.
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.