Yi Deng
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
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- Educational Technology and Pedagogy 2
-
- Advanced Neuroimaging Techniques and Applications 5
- Co-authors
- Gráinne McAlonan (2 shared papers)C Cheung (2 shared papers)Siew E. Chua (2 shared papers)Vincent C. K. Cheung (2 shared papers)Pak C. Sham (3 shared papers)K.S. Tai (1 shared paper)Pek Lan Khong (1 shared paper)Lawrance Yip (1 shared paper)
- Journals
- Psychological Medicine (2 papers)Psychiatry Research Neuroimaging (2 papers)Depression and Anxiety (1 paper)Brain Imaging and Behavior (1 paper)Journal of Abnormal Psychology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Deng
22 papers receiving 571 citations
Peers
Comparison fields: 5 of 97
- Biological Psychiatry 23
- Cognitive Neuroscience 183
- Psychiatry and Mental health 128
- Radiology, Nuclear Medicine and Imaging 179
- Sensory Systems 32
Countries citing papers authored by Yi Deng
This map shows the geographic impact of Yi Deng'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 Yi Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Deng more than expected).
Fields of papers citing papers by Yi Deng
This network shows the impact of papers produced by Yi Deng. 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 Yi Deng. The network helps show where Yi Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Deng, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 171 | |
| 2 | 2015 | 78 | |
| 3 | 2018 | 49 | |
| 4 | 2008 | 45 | |
| 5 | 2021 | 45 | |
| 6 | 2018 | 32 | |
| 7 | 2022 | 30 | |
| 8 | 2018 | 26 | |
| 9 | 2014 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2015 | 11 | |
| 14 | 2024 | 8 | |
| 15 | 2012 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2010 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 2 |
About Yi Deng
Yi Deng is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Cognitive Neuroscience and Control and Systems Engineering, having authored 23 papers that have together received 582 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (5 papers), Educational Technology and Pedagogy (2 papers), Schizophrenia research and treatment (2 papers), Functional Brain Connectivity Studies (2 papers), Technology-Enhanced Education Studies (2 papers), Alzheimer's disease research and treatments (1 paper), Infrastructure Maintenance and Monitoring (1 paper) and Surface Roughness and Optical Measurements (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Cognitive Neuroscience (183 citations), Psychiatry and Mental health (128 citations), Radiology, Nuclear Medicine and Imaging (179 citations) and Sensory Systems (32 citations). Yi Deng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gráinne McAlonan, C Cheung, Siew E. Chua, Vincent C. K. Cheung, Pak C. Sham, K.S. Tai, Pek Lan Khong, Lawrance Yip, Dongmin Wu and Raymond C. K. Chan. Their work appears in journals such as Psychological Medicine, Psychiatry Research Neuroimaging, Depression and Anxiety, Brain Imaging and Behavior and Journal of Abnormal Psychology.
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.