Tai-Shih Chi
About
In The Last Decade
Tai-Shih Chi
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 716
- Signal Processing 699
- Artificial Intelligence 230
- Experimental and Cognitive Psychology 161
- Speech and Hearing 137
Countries citing papers authored by Tai-Shih Chi
This map shows the geographic impact of Tai-Shih Chi'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 Tai-Shih Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai-Shih Chi more than expected).
Fields of papers citing papers by Tai-Shih Chi
This network shows the impact of papers produced by Tai-Shih Chi. 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 Tai-Shih Chi. The network helps show where Tai-Shih Chi may publish in the future.
Co-authorship network of co-authors of Tai-Shih Chi
This figure shows the co-authorship network connecting the top 25 collaborators of Tai-Shih Chi. A scholar is included among the top collaborators of Tai-Shih Chi 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 Tai-Shih Chi. Tai-Shih Chi 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 19 | |
| 10 | 32 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 0 | |
| 19 | 55 | |
| 20 | 4 |
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.