Fang-Chin Yeh
About
In The Last Decade
Fang-Chin Yeh
7 papers receiving 329 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 275
- Cellular and Molecular Neuroscience 174
- Electrical and Electronic Engineering 63
- Statistical and Nonlinear Physics 56
- Artificial Intelligence 33
Countries citing papers authored by Fang-Chin Yeh
This map shows the geographic impact of Fang-Chin Yeh'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 Fang-Chin Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang-Chin Yeh more than expected).
Fields of papers citing papers by Fang-Chin Yeh
This network shows the impact of papers produced by Fang-Chin Yeh. 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 Fang-Chin Yeh. The network helps show where Fang-Chin Yeh may publish in the future.
Co-authorship network of co-authors of Fang-Chin Yeh
This figure shows the co-authorship network connecting the top 25 collaborators of Fang-Chin Yeh. A scholar is included among the top collaborators of Fang-Chin Yeh 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 Fang-Chin Yeh. Fang-Chin Yeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 61 | |
| 3 | 110 | |
| 4 | 41 | |
| 5 | 48 | |
| 6 | 25 | |
| 7 | 41 |
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.