Grace Wang
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Internal Medicine top 5%
Papers in
-
- EEG and Brain-Computer Interfaces 12
- Neural dynamics and brain function 11
- Neural and Behavioral Psychology Studies 9
- Sleep and Wakefulness Research 8
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- Child and Adolescent Psychosocial and Emotional Development 7
- Co-authors
- Alexander Sumich (15 shared papers)Nikola Kasabov (8 shared papers)Bruce Russell (10 shared papers)Daria J. Kuss (4 shared papers)Robert R. Kydd (8 shared papers)Maryam Doborjeh (6 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)Sensors (3 papers)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
Grace Wang
126 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 178
- Cognitive Neuroscience 555
- Internal Medicine 85
- Hematology 181
- Applied Psychology 82
- Research and Theory 14
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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 135 | |
| 2 | 2016 | 121 | |
| 3 | 2009 | 120 | |
| 4 | 1986 | 120 | |
| 5 | 2015 | 112 | |
| 6 | 2015 | 107 | |
| 7 | 2015 | 107 | |
| 8 | 2020 | 76 | |
| 9 | 2018 | 70 | |
| 10 | 2011 | 69 | |
| 11 | 2020 | 65 | |
| 12 | 2019 | 61 | |
| 13 | 2019 | 57 | |
| 14 | 2019 | 55 | |
| 15 | 2010 | 53 | |
| 16 | 2020 | 48 | |
| 17 | 2015 | 43 | |
| 18 | 2006 | 40 | |
| 19 | 2014 | 39 | |
| 20 | 2016 | 38 |
About Grace Wang
Grace Wang is a scholar working on Cognitive Neuroscience, Clinical Psychology, Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 143 papers that have together received 2.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (11 papers), Neural and Behavioral Psychology Studies (9 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Sleep and Wakefulness Research (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers), Child and Adolescent Psychosocial and Emotional Development (7 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Cognitive Neuroscience (555 citations), Internal Medicine (85 citations), Hematology (181 citations), Applied Psychology (82 citations) and Research and Theory (14 citations). Grace Wang has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Alexander Sumich, Nikola Kasabov, Bruce Russell, Daria J. Kuss, Robert R. Kydd, Maryam Doborjeh, 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 Sensors.
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.