Arthur C. Tsai
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Molecular Biology
- Co-authors
- Michelle LiouAlexander N. SavostyanovJohn A. D. AstonPhilip E. ChengTimothy P. O’ConnorC IsbisterAlex L. KolodkinEvgenij A. Levin
- Topics
- Neural dynamics and brain function (7 papers)Functional Brain Connectivity Studies (7 papers)EEG and Brain-Computer Interfaces (6 papers)
- Partner nations
- TaiwanRussiaUnited States
In The Last Decade
Arthur C. Tsai
22 papers receiving 317 citations
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 171
- Cellular and Molecular Neuroscience 60
- Experimental and Cognitive Psychology 44
- Computer Vision and Pattern Recognition 37
- Molecular Biology 25
Countries citing papers authored by Arthur C. Tsai
This map shows the geographic impact of Arthur C. Tsai'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 Arthur C. Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur C. Tsai more than expected).
Fields of papers citing papers by Arthur C. Tsai
This network shows the impact of papers produced by Arthur C. Tsai. 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 Arthur C. Tsai. The network helps show where Arthur C. Tsai may publish in the future.
Co-authorship network of co-authors of Arthur C. Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur C. Tsai. A scholar is included among the top collaborators of Arthur C. Tsai 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 Arthur C. Tsai. Arthur C. Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 19 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 20 | |
| 15 | 46 | |
| 16 | Information identities and testing hypotheses: Power analysis for contingency tables. | 7 |
| 17 | 49 | |
| 18 | 15 | |
| 19 | 15 | |
| 20 | 49 |
About Arthur C. Tsai
Arthur C. Tsai is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Behavioral Neuroscience, having authored 22 papers that have together received 331 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (7 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Cognitive Neuroscience (171 citations), Developmental Neuroscience (16 citations) and Experimental and Cognitive Psychology (44 citations). Arthur C. Tsai has collaborated with scholars based in Taiwan, Russia and United States. Frequent co-authors include Michelle Liou, Alexander N. Savostyanov, John A. D. Aston, Philip E. Cheng, Timothy P. O’Connor, C Isbister, Alex L. Kolodkin, Evgenij A. Levin, Cheng‐Yu Chen and Ping Cheng. Their work appears in journals such as NeuroImage, Development and IEEE Transactions on Medical Imaging.
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.