Calvin Pak-Wing Cheng
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies 14
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research 6
- Attention Deficit Hyperactivity Disorder 4
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery 4
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 8
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- Mental Health Research Topics 4
- Sleep and related disorders 4
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- COVID-19 and Mental Health 4
- Co-authors
- Wai Chi ChanCorine Sau Man WongDyt FongLinda C. W. LamEdwin C. ChinTeris CheungFranky Leung ChanTommy Kwan Hin Fong
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Calvin Pak-Wing Cheng
42 papers receiving 562 citations
Peers
Comparison fields: 5 of 82
- Neurology 160
- Psychiatry and Mental health 121
- Rehabilitation 53
- Cognitive Neuroscience 146
- Experimental and Cognitive Psychology 78
Countries citing papers authored by Calvin Pak-Wing Cheng
This map shows the geographic impact of Calvin Pak-Wing Cheng'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 Calvin Pak-Wing Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calvin Pak-Wing Cheng more than expected).
Fields of papers citing papers by Calvin Pak-Wing Cheng
This network shows the impact of papers produced by Calvin Pak-Wing Cheng. 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 Calvin Pak-Wing Cheng. The network helps show where Calvin Pak-Wing Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Calvin Pak-Wing Cheng, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 15 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 41 | |
| 16 | 2020 | 23 | |
| 17 | 2019 | 15 | |
| 18 | 2015 | 18 | |
| 19 | 2002 | 23 | |
| 20 | 2002 | 18 |
About Calvin Pak-Wing Cheng
Calvin Pak-Wing Cheng is a scholar working on Neurology, Psychiatry and Mental health and Experimental and Cognitive Psychology, having authored 47 papers that have together received 570 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (14 papers), Functional Brain Connectivity Studies (8 papers), Dementia and Cognitive Impairment Research (6 papers), Stroke Rehabilitation and Recovery (4 papers), COVID-19 and Mental Health (4 papers), Mental Health Research Topics (4 papers), Attention Deficit Hyperactivity Disorder (4 papers) and Sleep and related disorders (4 papers). The work is most often cited by research in Neurology (160 citations), Psychiatry and Mental health (121 citations) and Rehabilitation (53 citations). Calvin Pak-Wing Cheng has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Wai Chi Chan, Corine Sau Man Wong, Dyt Fong, Linda C. W. Lam, Edwin C. Chin, Teris Cheung, Franky Leung Chan, Tommy Kwan Hin Fong, Parco M. Siu and Angus P. Yu. Their work appears in journals such as PLoS ONE, Scientific Reports and Neuropsychopharmacology.
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.