Tsung‐I Lin
- Statistics and Probability top 0.2%
- Artificial Intelligence top 0.5%
- Molecular Biology
- Finance top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Jack C. LeeWan‐Lun WangGeoffrey J. McLachlanSaumyadipta PyneElizabeth J. RossinJill P. MesirovPhilip L. De JagerLisa M. Maier
- Topics
- Bayesian Methods and Mixture Models (69 papers)Statistical Methods and Bayesian Inference (45 papers)Statistical Distribution Estimation and Applications (45 papers)
- Partner nations
- TaiwanUnited StatesIran
In The Last Decade
Tsung‐I Lin
83 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 1.5k
- Artificial Intelligence 1.4k
- Molecular Biology 383
- Finance 241
- Statistics, Probability and Uncertainty 132
Countries citing papers authored by Tsung‐I Lin
This map shows the geographic impact of Tsung‐I Lin'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 Tsung‐I Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsung‐I Lin more than expected).
Fields of papers citing papers by Tsung‐I Lin
This network shows the impact of papers produced by Tsung‐I Lin. 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 Tsung‐I Lin. The network helps show where Tsung‐I Lin may publish in the future.
Co-authorship network of co-authors of Tsung‐I Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐I Lin. A scholar is included among the top collaborators of Tsung‐I Lin 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 Tsung‐I Lin. Tsung‐I Lin 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 45 | |
| 13 | 13 | |
| 14 | 9 | |
| 15 | 32 | |
| 16 | 127 | |
| 17 | Finite mixture modelling using the skew normal distribution | 147 |
| 18 | 71 | |
| 19 | 40 | |
| 20 | 34 |
About Tsung‐I Lin
Tsung‐I Lin is a scholar working on Statistics and Probability, Artificial Intelligence and Finance, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (69 papers), Statistical Methods and Bayesian Inference (45 papers) and Statistical Distribution Estimation and Applications (45 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Artificial Intelligence (1.4k citations) and Finance (241 citations). Tsung‐I Lin has collaborated with scholars based in Taiwan, United States and Iran. Frequent co-authors include Jack C. Lee, Wan‐Lun Wang, Geoffrey J. McLachlan, Saumyadipta Pyne, Jack C. Lee, Elizabeth J. Rossin, Jill P. Mesirov, Philip L. De Jager, Lisa M. Maier and Clare Baecher‐Allan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Journal of Hepatology.
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.