Grace Wang
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Internal Medicine top 5%
Papers in
-
- Neural dynamics and brain function 10
- EEG and Brain-Computer Interfaces 9
- Sleep and Wakefulness Research 6
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- Child and Adolescent Psychosocial and Emotional Development 5
- Co-authors
- Alexander Sumich (15 shared papers)Nikola Kasabov (9 shared papers)Daria J. Kuss (4 shared papers)Robert R. Kydd (8 shared papers)Maryam Doborjeh (7 shared papers)Bruce Russell (3 shared papers)Trecia A. Wouldes (3 shared papers)Eiman Kanjo (1 shared paper)
- Journals
- Psychopharmacology (5 papers)Journal of Clinical Medicine (4 papers)SLEEP (4 papers)Scientific Reports (3 papers)Journal of Vascular Surgery (3 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Grace Wang
117 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 172
- Cognitive Neuroscience 540
- Internal Medicine 65
- Hematology 178
- Biological Psychiatry 37
- Applied Psychology 61
Countries citing papers authored by Grace Wang
This map shows the geographic impact of Grace Wang'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 Grace Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Wang more than expected).
Fields of papers citing papers by Grace Wang
This network shows the impact of papers produced by Grace Wang. 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 Grace Wang. The network helps show where Grace Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Wang, 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 142 | |
| 2 | 2015 | 139 | |
| 3 | 1986 | 134 | |
| 4 | 2016 | 131 | |
| 5 | 2009 | 121 | |
| 6 | 2015 | 114 | |
| 7 | 2015 | 112 | |
| 8 | 2020 | 86 | |
| 9 | 2011 | 81 | |
| 10 | 2018 | 74 | |
| 11 | 2020 | 66 | |
| 12 | 2019 | 65 | |
| 13 | 2019 | 59 | |
| 14 | 2019 | 58 | |
| 15 | 2010 | 56 | |
| 16 | 2020 | 56 | |
| 17 | 2015 | 54 | |
| 18 | 2016 | 43 | |
| 19 | 2014 | 42 | |
| 20 | 2006 | 40 |
About Grace Wang
Grace Wang is a scholar working on Cognitive Neuroscience, Clinical Psychology, Molecular Biology, Psychiatry and Mental health and Epidemiology, having authored 133 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), EEG and Brain-Computer Interfaces (9 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Advanced Memory and Neural Computing (6 papers), Sleep and Wakefulness Research (6 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers), Impact of Technology on Adolescents (5 papers) and Maritime Ports and Logistics (5 papers). The work is most often cited by research in Cognitive Neuroscience (540 citations), Internal Medicine (65 citations), Hematology (178 citations), Biological Psychiatry (37 citations) and Applied Psychology (61 citations). Grace Wang has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Alexander Sumich, Nikola Kasabov, Daria J. Kuss, Robert R. Kydd, Maryam Doborjeh, Bruce Russell, Trecia A. Wouldes, Eiman Kanjo, Fraenze Kibowski and Inga Griškova-Bulanova. Their work appears in journals such as Psychopharmacology, Journal of Clinical Medicine, SLEEP, Scientific Reports and Journal of Vascular Surgery.
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.