D. Y. Lin

1.6k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

D. Y. Lin is a scholar working on Statistics and Probability, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, D. Y. Lin has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in D. Y. Lin's work include Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (10 papers) and Statistical Methods in Clinical Trials (6 papers). D. Y. Lin is often cited by papers focused on Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (10 papers) and Statistical Methods in Clinical Trials (6 papers). D. Y. Lin collaborates with scholars based in United States, China and Canada. D. Y. Lin's 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 and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.

In The Last Decade

D. Y. Lin

21 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Lagrangian-Eulerian described Particle Flow Topology Optimization (PFTO) approach with isogeometric material point method

2025 18 citations D. Y. Lin, Liang Gao et al. Computer Methods in Applied Mechanics and Engineering profile →

Peers

D. Y. Lin

SP

AI

EE

MSOR

EPIDE

Donglin Zeng United States

Chin‐Tsang Chiang Taiwan

Yongyi Min United States

Lang Wu Canada

Mojtaba Ganjali Iran

Liuquan Sun China

S. R. Paul Canada

Grace Y. Yi Canada

Luís Meira‐Machado Portugal

Mark E. Johnson United States

Donglin Zeng United States

D. Y. Lin

910 ×1.2

SP

233 ×1.8

AI

105 ×1.0

EE

83 ×1.2

MSOR

81 ×1.1

EPIDE

Citations per year, relative to D. Y. Lin D. Y. Lin (= 1×) peers Donglin Zeng

Countries citing papers authored by D. Y. Lin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lin, D. Y., Liang Gao, & Jie Gao. (2025). The Lagrangian-Eulerian described Particle Flow Topology Optimization (PFTO) approach with isogeometric material point method. Computer Methods in Applied Mechanics and Engineering. 440. 117892–117892. 18 indexed citations breakdown →

2.

Liu, X.-W., et al.. (2025). Leveraging molecular dynamics and machine learning to predict impact performance in polycrystalline magnesium alloys. Solid State Communications. 403. 115961–115961. 2 indexed citations

3.

Zeng, Donglin, et al.. (2022). Semiparametric latent-class models for multivariate longitudinal and survival data. The Annals of Statistics. 50(1). 487–510. 7 indexed citations

4.

Lin, D. Y., et al.. (2019). How does hard-to-reach status affect antiretroviral therapy adherence in the HIV-infected population? Results from a meta-analysis of observational studies. BMC Public Health. 19(1). 789–789. 9 indexed citations

5.

Zeng, Donglin, et al.. (2017). Efficient Estimation for Semiparametric Structural Equation Models With Censored Data. Journal of the American Statistical Association. 113(522). 893–905. 8 indexed citations

6.

Avery, Christy L., Katelyn M. Holliday, Sujatro Chakladar, et al.. (2016). Disparities in Early Transitions to Obesity in Contemporary Multi-Ethnic U.S. Populations. PLoS ONE. 11(6). e0158025–e0158025. 12 indexed citations

7.

Holliday, Katelyn M., D. Y. Lin, Sujatro Chakladar, et al.. (2016). Targeting physical activity interventions for adults: When should intervention occur?. Preventive Medicine. 97. 13–18. 4 indexed citations

8.

Chen, Mengshi, Jing Deng, D. Y. Lin, et al.. (2015). Impact of tea drinking upon tuberculosis: a neglected issue. BMC Public Health. 15(1). 515–515. 18 indexed citations

9.

Lin, D. Y.. (2013). An Overview of Ross Prentice’s Contributions to Statistical Science. Statistics in Biosciences. 5(2). 224–231.

10.

Lin, D. Y., et al.. (2012). Predictive accuracy of covariates for event times. Biometrika. 99(3). 615–630. 3 indexed citations

11.

Zeng, Donglin & D. Y. Lin. (2007). Efficient Estimation for the Accelerated Failure Time Model. Journal of the American Statistical Association. 102(480). 1387–1396. 105 indexed citations

12.

Pan, Zhiying & D. Y. Lin. (2005). Goodness‐of‐Fit Methods for Generalized Linear Mixed Models. Biometrics. 61(4). 1000–1009. 80 indexed citations

13.

Lin, D. Y.. (2003). Semiparametric regression analysis of longitudinal data with informative drop-outs. Biostatistics. 4(3). 385–398. 23 indexed citations

14.

Lin, D. Y., L. J. Wei, & Z. Ying. (2002). Model‐Checking Techniques Based on Cumulative Residuals. Biometrics. 58(1). 1–12. 224 indexed citations

15.

Lin, D. Y. & Zhiliang Ying. (2001). Nonparametric Tests for the Gap Time Distributions of Serial Events Based on Censored Data. Biometrics. 57(2). 369–375. 10 indexed citations

16.

Lin, D. Y.. (2000). On fitting Cox's proportional hazards models to survey data. Biometrika. 87(1). 37–47. 103 indexed citations

17.

Lin, D. Y.. (1999). Nonparametric estimation of the gap time distribution for serial events with censored data. Biometrika. 86(1). 59–70. 140 indexed citations

18.

Lin, D. Y. & Thomas R. Fleming. (1997). Proceedings of the First Seattle Symposium in Biostatistics: Survival Analysis. Medical Entomology and Zoology. 71 indexed citations

19.

Lin, D. Y., et al.. (1994). Confidence Bands for Survival Curves Under the Proportional Hazards Model. Biometrika. 81(1). 73–73. 91 indexed citations

20.

Koch, Michael O., Roy A. Brandell, D. Y. Lin, & Joseph A. Smith. (1994). The Effect of Sequential Compression Devices on Intraoperative Blood Loss During Radical Prostatectomy. The Journal of Urology. 152(4). 1178–1179. 3 indexed citations

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.

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