Young K. Truong
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Finance top 5%
- Economics and Econometrics top 10%
- Co-authors
- Charles J. StoneJianqing FanCharles KooperbergMark HansenTien-Chung HuScott HamiltonSoumendra N. LahiriPeter Hall
- Topics
- Statistical Methods and Inference (17 papers)Advanced Statistical Methods and Models (12 papers)Bayesian Methods and Mixture Models (6 papers)
- Journals
- Journal of NeuroscienceJournal of the American Statistical AssociationThe Journal of Immunology
- Partner nations
- United StatesSingaporeHong Kong
In The Last Decade
Young K. Truong
49 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 162
- Statistics and Probability 980
- Artificial Intelligence 307
- Control and Systems Engineering 191
- Finance 169
- Economics and Econometrics 131
Countries citing papers authored by Young K. Truong
This map shows the geographic impact of Young K. Truong'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 Young K. Truong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young K. Truong more than expected).
Fields of papers citing papers by Young K. Truong
This network shows the impact of papers produced by Young K. Truong. 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 Young K. Truong. The network helps show where Young K. Truong may publish in the future.
Co-authorship network of co-authors of Young K. Truong
This figure shows the co-authorship network connecting the top 25 collaborators of Young K. Truong. A scholar is included among the top collaborators of Young K. Truong 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 Young K. Truong. Young K. Truong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 20 | |
| 5 | 23 | |
| 6 | 63 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 124 | |
| 11 | 7 | |
| 12 | 19 | |
| 13 | 1 | |
| 14 | 93 | |
| 15 | 13 | |
| 16 | 135 | |
| 17 | 41 | |
| 18 | 24 | |
| 19 | Robust Non-parametric Function Estimation | 162 |
| 20 | 9 |
About Young K. Truong
Young K. Truong is a scholar working on Statistics and Probability, Computational Mathematics and Statistics, Probability and Uncertainty, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (17 papers), Advanced Statistical Methods and Models (12 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistics and Probability (980 citations), Finance (169 citations) and Statistics, Probability and Uncertainty (115 citations). Young K. Truong has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Charles J. Stone, Jianqing Fan, Charles Kooperberg, Mark Hansen, Tien-Chung Hu, Scott Hamilton, Soumendra N. Lahiri, Peter Hall, Alan G. Finkel and Anne H. Calhoun. Their work appears in journals such as Journal of Neuroscience, Journal of the American Statistical Association and The Journal of Immunology.
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.