Yanlin Tang

939 total citations · 1 hit paper
51 papers, 616 citations indexed

About

Yanlin Tang is a scholar working on Statistics and Probability, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yanlin Tang has authored 51 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 5 papers in Molecular Biology and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yanlin Tang's work include Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (12 papers) and Advanced Statistical Methods and Models (11 papers). Yanlin Tang is often cited by papers focused on Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (12 papers) and Advanced Statistical Methods and Models (11 papers). Yanlin Tang collaborates with scholars based in China, United States and Hong Kong. Yanlin Tang's co-authors include Huixia Wang, Zhongyi Zhu, Chyang T. Fang, Bin Liu, Xinyuan Song, Donna A. Sobieski, Robert H. Lipsky, Xinyuan Song, Loon Ching Tang and Lijuan Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Yanlin Tang

45 papers receiving 606 citations

Hit Papers

Polylactic Acid Micro/Nan... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanlin Tang China 15 222 94 86 73 58 51 616
Ruoqing Zhu United States 14 181 0.8× 38 0.4× 22 0.3× 14 0.2× 110 1.9× 55 621
Jason Schweinsberg United States 14 146 0.7× 88 0.9× 17 0.2× 33 0.5× 233 4.0× 37 1.0k
Fuad S. Alduais Saudi Arabia 13 66 0.3× 46 0.5× 13 0.2× 27 0.4× 33 0.6× 89 569
Minoru Tabata Japan 14 35 0.2× 75 0.8× 27 0.3× 33 0.5× 20 0.3× 69 712
Sadia Arshad Pakistan 18 281 1.3× 220 2.3× 16 0.2× 9 0.1× 26 0.4× 51 1.0k
Jasmin Bachmann Germany 4 57 0.3× 52 0.6× 49 0.6× 14 0.2× 67 1.2× 6 1.0k
Tracey R. Turner Canada 15 36 0.2× 68 0.7× 10 0.1× 10 0.1× 28 0.5× 31 909
Jie Peng China 14 156 0.7× 10 0.1× 9 0.1× 38 0.5× 124 2.1× 56 994
Lawrence M. Murray Australia 13 58 0.3× 63 0.7× 40 0.5× 19 0.3× 166 2.9× 24 415
Sabine Jansen Germany 12 53 0.2× 19 0.2× 22 0.3× 34 0.5× 16 0.3× 33 469

Countries citing papers authored by Yanlin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yanlin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanlin Tang. A scholar is included among the top collaborators of Yanlin Tang 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 Yanlin Tang. Yanlin Tang 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.
Zhao, Qiancheng, Zishui Fang, Pengcheng Wang, et al.. (2025). Polylactic Acid Micro/Nanoplastic Exposure Induces Male Reproductive Toxicity by Disrupting Spermatogenesis and Mitochondrial Dysfunction in Mice. ACS Nano. 19(5). 5589–5603. 24 indexed citations breakdown →
2.
Deng, Peng, Tianyu Tang, Xiaonan Wei, et al.. (2025). First-principles study of the structural, electronic and elastic properties of transition metal borides Ru3BA (A = V, Nb and Ta) compounds. Inorganic Chemistry Communications. 178. 114457–114457. 1 indexed citations
3.
Xi, Yu, Zhe Zhang, Ying Zhang, et al.. (2025). NAE1-mediated neddylation coordinates ubiquitination regulation of meiotic recombination during spermatogenesis. Theranostics. 15(7). 3122–3142.
5.
Tang, Yanlin, et al.. (2024). Structure-adaptive canonical correlation analysis for microbiome multi-omics data. Frontiers in Genetics. 15. 1489694–1489694. 1 indexed citations
6.
Wang, Xiaorui, Guoyou Qin, Yanlin Tang, & Yinfeng Wang. (2023). Multiply Robust Estimation of Quantile Treatment Effects with Missing Responses. Communications in Mathematics and Statistics. 14(2). 313–331.
7.
Tang, Yanlin, Xinyuan Song, & Grace Y. Yi. (2022). Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes. Lifetime Data Analysis. 28(1). 139–168. 2 indexed citations
8.
Shen, Lijuan, Yanlin Tang, & Loon Ching Tang. (2021). Understanding key factors affecting power systems resilience. Reliability Engineering & System Safety. 212. 107621–107621. 25 indexed citations
9.
Wang, Xiaorui, Guoyou Qin, Xinyuan Song, & Yanlin Tang. (2021). Censored quantile regression based on multiply robust propensity scores. Statistical Methods in Medical Research. 31(3). 475–487. 2 indexed citations
10.
Li, Fuyuan, Yanlin Tang, & Huixia Wang. (2019). Copula‐based semiparametric analysis for time series data with detection limits. Canadian Journal of Statistics. 47(3). 438–454. 4 indexed citations
11.
Tang, Yanlin, Huixia Wang, Ying Sun, & Amanda S. Hering. (2019). Copula-Based Semiparametric Models for Spatiotemporal Data. Biometrics. 75(4). 1156–1167. 5 indexed citations
12.
Tang, Yanlin, et al.. (2017). Testing for the presence of significant covariates through conditional marginal regression. Biometrika. 105(1). 57–71. 2 indexed citations
13.
Tang, Yanlin, et al.. (2017). Variable selection in censored quantile regression with high dimensional data. Science China Mathematics. 61(4). 641–658. 4 indexed citations
14.
Tang, Yanlin & Huixia Wang. (2015). Penalized regression across multiple quantiles under random censoring. Journal of Multivariate Analysis. 141. 132–146. 6 indexed citations
15.
Tang, Yanlin, Xinyuan Song, & Zhongyi Zhu. (2015). Threshold effect test in censored quantile regression. Statistics & Probability Letters. 105. 149–156. 1 indexed citations
16.
Tang, Yanlin, Xinyuan Song, Huixia Wang, & Zhongyi Zhu. (2013). Variable selection in high-dimensional quantile varying coefficient models. Journal of Multivariate Analysis. 122. 115–132. 21 indexed citations
17.
Tang, Yanlin, Huixia Wang, Xuming He, & Zhongyi Zhu. (2011). An informative subset-based estimator for censored quantile regression. Test. 21(4). 635–655. 19 indexed citations
18.
Tang, Yanlin, Brian S. Shepherd, A. J. F. NICHOLS, Rex A. Dunham, & Thomas T. Chen. (2001). Influence of Environmental Salinity on Messenger RNA Levels of Growth Hormone, Prolactin, and Somatolactin in Pituitary of the Channel Catfish (Ictalurus punctatus). Marine Biotechnology. 3(3). 205–217. 29 indexed citations
20.
Tang, Yanlin, et al.. (1993). Characterization of two alternatively spliced 5′-untranslated exons of the human CD36 gene in different cell types. Gene. 133(2). 205–212. 21 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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