Kai Hwang
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Experimental and Cognitive Psychology top 5%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Beatríz LunaMichael N. HallquistMark D’EspositoMaxwell A. BertoleroKaterina VelanovaJames M. ShineDillan CellierWill Foran
- Topics
- Neural dynamics and brain function (25 papers)Functional Brain Connectivity Studies (24 papers)Neural and Behavioral Psychology Studies (12 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Kai Hwang
41 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 1.8k
- Radiology, Nuclear Medicine and Imaging 538
- Experimental and Cognitive Psychology 326
- Psychiatry and Mental health 233
- Cellular and Molecular Neuroscience 194
Countries citing papers authored by Kai Hwang
This map shows the geographic impact of Kai Hwang'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 Kai Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hwang more than expected).
Fields of papers citing papers by Kai Hwang
This network shows the impact of papers produced by Kai Hwang. 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 Kai Hwang. The network helps show where Kai Hwang may publish in the future.
Co-authorship network of co-authors of Kai Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Hwang. A scholar is included among the top collaborators of Kai Hwang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Hwang. Kai Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 26 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 43 | |
| 9 | 110 | |
| 10 | 16 | |
| 11 | 35 | |
| 12 | 17 | |
| 13 | 62 | |
| 14 | The Human Thalamus Is an Integrative Hub for Functional Brain Networksbreakdown → | 401 |
| 15 | 54 | |
| 16 | 216 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 14 | |
| 20 | 16 |
About Kai Hwang
Kai Hwang is a scholar working on Cognitive Neuroscience, Anesthesiology and Pain Medicine and Medical Laboratory Technology, having authored 44 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (25 papers), Functional Brain Connectivity Studies (24 papers) and Neural and Behavioral Psychology Studies (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Experimental and Cognitive Psychology (326 citations) and Radiology, Nuclear Medicine and Imaging (538 citations). Kai Hwang has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Beatríz Luna, Michael N. Hallquist, Mark D’Esposito, Maxwell A. Bertolero, Katerina Velanova, James M. Shine, Dillan Cellier, Will Foran, Scott Marek and Justin Riddle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.