D. Y. Lin
- Statistics and Probability top 0.5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Epidemiology
- Topics
- Statistical Methods and Inference (14 papers)Statistical Methods and Bayesian Inference (10 papers)Statistical Methods in Clinical Trials (6 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesChinaCanada
In The Last Decade
D. Y. Lin
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Statistics and Probability 755
- Artificial Intelligence 127
- Economics and Econometrics 105
- Management Science and Operations Research 72
- Epidemiology 71
Countries citing papers authored by D. Y. Lin
This map shows the geographic impact of D. Y. 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 D. Y. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Y. Lin more than expected).
Fields of papers citing papers by D. Y. Lin
This network shows the impact of papers produced by D. Y. 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 D. Y. Lin. The network helps show where D. Y. Lin may publish in the future.
Co-authorship network of co-authors of D. Y. Lin
This figure shows the co-authorship network connecting the top 25 collaborators of D. Y. Lin. A scholar is included among the top collaborators of D. Y. 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 D. Y. Lin. D. Y. 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 | The Lagrangian-Eulerian described Particle Flow Topology Optimization (PFTO) approach with isogeometric material point methodbreakdown → | 18 |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 105 | |
| 12 | 80 | |
| 13 | 23 | |
| 14 | 224 | |
| 15 | 10 | |
| 16 | 103 | |
| 17 | 140 | |
| 18 | 71 | |
| 19 | 91 | |
| 20 | 3 |
About D. Y. Lin
D. Y. Lin is a scholar working on Statistics and Probability, Biological Psychiatry and Internal Medicine, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (10 papers) and Statistical Methods in Clinical Trials (6 papers). The work is most often cited by research in Statistics and Probability (755 citations), Statistics, Probability and Uncertainty (61 citations) and Management Science and Operations Research (72 citations). D. Y. Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include L. J. Wei, Z. Ying, Donglin Zeng, Zhiying Pan, Thomas R. Fleming, Liang Gao, Jie Gao, Zhiliang Ying, Benjamin Abuaku and Mengshi Chen. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.
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.