Pei-Jung Tsai
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Cellular and Molecular Neuroscience
- Radiology, Nuclear Medicine and Imaging
- Physiology
- Co-authors
- Ching‐Po LinChangwei W. WuBharat B. BiswalYihong YangHanbing LuElliot A. SteinYu‐Chin WuChing‐Sui Hung
- Topics
- Functional Brain Connectivity Studies (7 papers)EEG and Brain-Computer Interfaces (6 papers)Neural dynamics and brain function (5 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyCellular and Molecular Neuroscience
- Partner nations
- United StatesTaiwanSweden
In The Last Decade
Pei-Jung Tsai
19 papers receiving 341 citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 222
- Experimental and Cognitive Psychology 88
- Cellular and Molecular Neuroscience 73
- Radiology, Nuclear Medicine and Imaging 41
- Physiology 24
Countries citing papers authored by Pei-Jung Tsai
This map shows the geographic impact of Pei-Jung 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 Pei-Jung Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Jung Tsai more than expected).
Fields of papers citing papers by Pei-Jung Tsai
This network shows the impact of papers produced by Pei-Jung 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 Pei-Jung Tsai. The network helps show where Pei-Jung Tsai may publish in the future.
Co-authorship network of co-authors of Pei-Jung Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Jung Tsai. A scholar is included among the top collaborators of Pei-Jung 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 Pei-Jung Tsai. Pei-Jung 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 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 53 | |
| 10 | 1 | |
| 11 | 32 | |
| 12 | 10 | |
| 13 | 46 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 36 | |
| 17 | 40 | |
| 18 | 14 | |
| 19 | 37 | |
| 20 | 4 |
About Pei-Jung Tsai
Pei-Jung Tsai is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 20 papers that have together received 344 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (222 citations), Experimental and Cognitive Psychology (88 citations) and Cellular and Molecular Neuroscience (73 citations). Pei-Jung Tsai has collaborated with scholars based in United States, Taiwan and Sweden. Frequent co-authors include Ching‐Po Lin, Changwei W. Wu, Bharat B. Biswal, Yihong Yang, Hanbing Lu, Elliot A. Stein, Yu‐Chin Wu, Ching‐Sui Hung, Tsuo‐Hung Lan and Wei‐Che Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.
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.