Pang Du

1.1k total citations
49 papers, 750 citations indexed

About

Pang Du is a scholar working on Statistics and Probability, Artificial Intelligence and Genetics. According to data from OpenAlex, Pang Du has authored 49 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 6 papers in Genetics. Recurrent topics in Pang Du's work include Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (9 papers) and Genetic and phenotypic traits in livestock (6 papers). Pang Du is often cited by papers focused on Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (9 papers) and Genetic and phenotypic traits in livestock (6 papers). Pang Du collaborates with scholars based in United States, Switzerland and France. Pang Du's co-authors include Hua Liang, Shuangge Ma, Amy Pruden, Kang Xia, Jeffrey S. Racine, Chaoqi Chen, Christopher F. Parmeter, Lenwood S. Heath, Min Oh and Liqing Zhang and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Pang Du

45 papers receiving 735 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pang Du United States 18 238 158 96 95 76 49 750
Andrés M. Alonso Spain 21 149 0.6× 32 0.2× 257 2.7× 171 1.8× 87 1.1× 65 1.3k
Xin Gao Canada 16 174 0.7× 26 0.2× 156 1.6× 219 2.3× 5 0.1× 94 1.1k
C. K. Chu Taiwan 15 372 1.6× 9 0.1× 102 1.1× 176 1.9× 28 0.4× 38 897
Josmar Mazucheli Brazil 21 1.2k 4.9× 22 0.1× 24 0.3× 194 2.0× 133 1.8× 93 1.5k
Peter Craig United Kingdom 15 48 0.2× 175 1.1× 22 0.2× 56 0.6× 3 0.0× 36 867
Yujing Xie China 14 15 0.1× 155 1.0× 76 0.8× 71 0.7× 38 0.5× 19 941
Stefano Nembrini Italy 7 10 0.0× 36 0.2× 95 1.0× 84 0.9× 12 0.2× 12 646
Qianqian Zhang China 16 5 0.0× 118 0.7× 146 1.5× 125 1.3× 35 0.5× 66 811
Sumanta Basu India 18 54 0.2× 4 0.0× 372 3.9× 75 0.8× 10 0.1× 64 1.1k
Robert A. Lordo United States 13 32 0.1× 129 0.8× 51 0.5× 90 0.9× 2 0.0× 23 816

Countries citing papers authored by Pang Du

Since Specialization
Citations

This map shows the geographic impact of Pang Du'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 Pang Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pang Du more than expected).

Fields of papers citing papers by Pang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pang Du. 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 Pang Du. The network helps show where Pang Du may publish in the future.

Co-authorship network of co-authors of Pang Du

This figure shows the co-authorship network connecting the top 25 collaborators of Pang Du. A scholar is included among the top collaborators of Pang Du 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 Pang Du. Pang Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Du, Pang, et al.. (2024). Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities. Statistics in Medicine. 43(7). 1372–1383. 1 indexed citations
2.
Hong, Yili, et al.. (2024). Multivariate Functional Clustering with Variable Selection and Application to Sensor Data from Engineering Systems. RePEc: Research Papers in Economics. 3(2). 203–218.
3.
Cho, Youngjin, et al.. (2024). Reliability study of battery lives: A functional degradation analysis approach. The Annals of Applied Statistics. 18(4).
4.
Sands, Laura P., et al.. (2024). Risks and Outcomes of New Onset of Unmet Need for Mobility and Self-Care Daily Activities. The Gerontologist. 65(2). 1 indexed citations
5.
Leung, Jacqueline M., Julio C. Rojas, Adam L. Boxer, et al.. (2023). Presence of Preoperative Neurodegeneration Biofluid Markers in Patients with Postoperative Delirium. Anesthesiology. 139(4). 432–443. 11 indexed citations
6.
Du, Pang, et al.. (2023). Contrast tests for groups of functional data. Canadian Journal of Statistics. 52(3). 713–733.
7.
Robertson, John L., Ryan S. Senger, Pang Du, et al.. (2022). Alterations in the molecular composition of COVID-19 patient urine, detected using Raman spectroscopic/computational analysis. PLoS ONE. 17(7). e0270914–e0270914. 12 indexed citations
8.
Udayasuryan, Barath, et al.. (2022). Smooth Muscle Organization and Nerves in the Rat Vagina: A First Look Using Tissue Clearing and Immunolabeling. Annals of Biomedical Engineering. 50(4). 440–451. 7 indexed citations
9.
Guruli, Georgi, Andrew Tracey, Neveen Said, et al.. (2020). Raman chemometric urinalysis (Rametrix) as a screen for bladder cancer. PLoS ONE. 15(8). e0237070–e0237070. 29 indexed citations
10.
Senger, Ryan S., Pang Du, Allan H. Sklar, et al.. (2019). Spectral characteristics of urine specimens from healthy human volunteers analyzed using Raman chemometric urinalysis (Rametrix). PLoS ONE. 14(9). e0222115–e0222115. 21 indexed citations
11.
Chen, Chaoqi, Min Oh, Lenwood S. Heath, et al.. (2019). Effect of antibiotic use and composting on antibiotic resistance gene abundance and resistome risks of soils receiving manure-derived amendments. Environment International. 128. 233–243. 120 indexed citations
12.
Li, Mengmeng, Partha Ray, K.F. Knowlton, et al.. (2019). Fate of pirlimycin and antibiotic resistance genes in dairy manure slurries in response to temperature and pH adjustment. The Science of The Total Environment. 710. 136310–136310. 21 indexed citations
13.
Chambers, David, Jeremy M. Wojdak, Pang Du, & Lisa K. Belden. (2013). Pond Acidification May Explain Differences in Corticosterone among Salamander Populations. Physiological and Biochemical Zoology. 86(2). 224–232. 23 indexed citations
14.
Du, Pang, Christopher F. Parmeter, & Jeffrey S. Racine. (2013). Nonparametric kernel regression with multiple predictors and multiple shape constraints. 67 indexed citations
15.
Du, Pang, et al.. (2011). Smoothing Spline ANOVA Frailty Model for Recurrent Event Data. Biometrics. 67(4). 1330–1339. 5 indexed citations
16.
Du, Pang & Shuangge Ma. (2010). Frailty model with spline estimated nonparametric hazard function. Statistica Sinica. 20(2). 561–580. 5 indexed citations
17.
Tang, Liansheng, Pang Du, & Chengqing Wu. (2010). Compare diagnostic tests using transformation-invariant smoothed ROC curves. Journal of Statistical Planning and Inference. 140(11). 3540–3551. 17 indexed citations
18.
Du, Pang, Shuangge Ma, & Hua Liang. (2010). Penalized variable selection procedure for Cox models with semiparametric relative risk. The Annals of Statistics. 38(4). 2092–2117. 41 indexed citations
19.
Du, Pang & Liansheng Tang. (2008). Transformation‐invariant and nonparametric monotone smooth estimation of ROC curves. Statistics in Medicine. 28(2). 349–359. 7 indexed citations
20.
Du, Pang & Chong Gu. (2005). Penalized likelihood hazard estimation: Efficient approximation and Bayesian confidence intervals. Statistics & Probability Letters. 76(3). 244–254. 8 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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