Yi Tsong
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems 8
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 63
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- Advanced Statistical Process Monitoring 15
- Meta-analysis and systematic reviews 8
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- Optimal Experimental Design Methods 36
- Analytical Chemistry top 2%
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- Pesticide Residue Analysis and Safety 15
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- Computational Drug Discovery Methods 13
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- Inhalation and Respiratory Drug Delivery 7
Yi Tsong
94 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Pharmaceutical Science 619
- Statistics and Probability 709
- Statistics, Probability and Uncertainty 231
- Management Science and Operations Research 333
- Analytical Chemistry 193
Countries citing papers authored by Yi Tsong
This map shows the geographic impact of Yi Tsong'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 Yi Tsong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Tsong more than expected).
Fields of papers citing papers by Yi Tsong
This network shows the impact of papers produced by Yi Tsong. 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 Yi Tsong. The network helps show where Yi Tsong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yi Tsong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2014 | 19 | |
| 3 | 2014 | 3 | |
| 4 | 2014 | 6 | |
| 5 | 2014 | 22 | |
| 6 | 2012 | 15 | |
| 7 | 2010 | 7 | |
| 8 | 2010 | 4 | |
| 9 | 2010 | 23 | |
| 10 | 2007 | 21 | |
| 11 | 2007 | 8 | |
| 12 | 2007 | 21 | |
| 13 | 2005 | 21 | |
| 14 | 2003 | 35 | |
| 15 | 2003 | 78 | |
| 16 | 2002 | 58 | |
| 17 | 2001 | 45 | |
| 18 | 1997 | 12 | |
| 19 | 1996 | 107 | |
| 20 | 1990 | 18 |
About Yi Tsong
Yi Tsong is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Pharmaceutical Science and Food Science, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (63 papers), Optimal Experimental Design Methods (36 papers), Advanced Statistical Process Monitoring (15 papers), Pesticide Residue Analysis and Safety (15 papers), Computational Drug Discovery Methods (13 papers), Drug Solubulity and Delivery Systems (8 papers), Meta-analysis and systematic reviews (8 papers) and Inhalation and Respiratory Drug Delivery (7 papers). The work is most often cited by research in Pharmaceutical Science (619 citations), Statistics and Probability (709 citations), Statistics, Probability and Uncertainty (231 citations), Management Science and Operations Research (333 citations) and Analytical Chemistry (193 citations). Yi Tsong has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Vinod P. Shah, Pradeep Sathe, Jen‐pei Liu, Hung Hung, Meiyu Shen, Sue‐Jane Wang, James J. Chen, Xiaoyu Dong, Lu Cui and Thomas Hammerstrom. Their work appears in journals such as Journal of Biopharmaceutical Statistics, The AAPS Journal, Statistics in Medicine, Drug Information Journal and AAPS PharmSciTech.
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.