Jingyi Long
Impact in
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- Temporomandibular Joint Disorders
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- Tryptophan and brain disorders
Papers in
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- Functional Brain Connectivity Studies 4
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- Neurological disorders and treatments 1
- Co-authors
- Fei Li (4 shared papers)John A. Sweeney (4 shared papers)Qiyong Gong (4 shared papers)Graham J. Kemp (3 shared papers)Yi Li (4 shared papers)Kuan Zeng (2 shared papers)Jichang Hu (1 shared paper)Youjin Zhao (2 shared papers)
- Journals
- Asian Journal of Psychiatry (1 paper)The Journal of Headache and Pain (1 paper)The Journal of Comparative Neurology (1 paper)International Journal of Surgery (1 paper)Psychiatry Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jingyi Long
11 papers receiving 329 citations
Peers
Comparison fields: 5 of 46
- Complementary and Manual Therapy 36
- Biological Psychiatry 21
- Critical Care and Intensive Care Medicine 24
- Cognitive Neuroscience 93
- Behavioral Neuroscience 14
Countries citing papers authored by Jingyi Long
This map shows the geographic impact of Jingyi Long'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 Jingyi Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyi Long more than expected).
Fields of papers citing papers by Jingyi Long
This network shows the impact of papers produced by Jingyi Long. 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 Jingyi Long. The network helps show where Jingyi Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingyi Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 129 | |
| 2 | 2020 | 68 | |
| 3 | 2023 | 47 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 19 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 15 | |
| 8 | 2024 | 11 | |
| 9 | 2022 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 |
About Jingyi Long
Jingyi Long is a scholar working on Cognitive Neuroscience, Neurology, Psychiatry and Mental health, Pharmacology and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 337 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Bipolar Disorder and Treatment (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Neurological disorders and treatments (1 paper), Menstrual Health and Disorders (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Complementary and Manual Therapy (36 citations), Biological Psychiatry (21 citations), Critical Care and Intensive Care Medicine (24 citations), Cognitive Neuroscience (93 citations) and Behavioral Neuroscience (14 citations). Jingyi Long has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fei Li, John A. Sweeney, Qiyong Gong, Graham J. Kemp, Yi Li, Kuan Zeng, Jichang Hu, Youjin Zhao, Qian Li and Xiaoqi Huang. Their work appears in journals such as Asian Journal of Psychiatry, The Journal of Headache and Pain, The Journal of Comparative Neurology, International Journal of Surgery and Psychiatry Research.
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.