Yuanshan Wu

590 total citations
34 papers, 368 citations indexed

About

Yuanshan Wu is a scholar working on Statistics and Probability, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuanshan Wu has authored 34 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuanshan Wu's work include Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (11 papers) and Statistical Distribution Estimation and Applications (6 papers). Yuanshan Wu is often cited by papers focused on Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (11 papers) and Statistical Distribution Estimation and Applications (6 papers). Yuanshan Wu collaborates with scholars based in China, Hong Kong and United States. Yuanshan Wu's co-authors include Guosheng Yin, Yanyan Liu, Haibo Zhou, Jianwen Cai, Yanyuan Ma, Dan Xu, Chao Zhang, Jun Qin, Jiajia Liu and Jie Ping and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and Biometrics.

In The Last Decade

Yuanshan Wu

28 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanshan Wu China 11 238 82 51 28 25 34 368
Gina‐Maria Pomann United States 9 58 0.2× 30 0.4× 20 0.4× 33 1.2× 34 1.4× 41 251
Esra Akdenız Türkiye 11 144 0.6× 18 0.2× 25 0.5× 30 1.1× 19 0.8× 61 392
Dan Anbar United States 12 107 0.4× 18 0.2× 9 0.2× 15 0.5× 7 0.3× 19 292
Hojin Yang United States 9 40 0.2× 69 0.8× 29 0.6× 20 0.7× 16 0.6× 28 284
G Freĭtag Germany 11 162 0.7× 13 0.2× 6 0.1× 19 0.7× 9 0.4× 29 430
Danna Zhang China 8 76 0.3× 19 0.2× 14 0.3× 14 0.5× 4 0.2× 20 218
Salvatore D. Tomarchio Italy 10 79 0.3× 112 1.4× 14 0.3× 24 0.9× 2 0.1× 46 254
Jingwen Fan China 9 18 0.1× 42 0.5× 11 0.2× 26 0.9× 35 1.4× 38 317
Lynette Hunt New Zealand 10 51 0.2× 137 1.7× 9 0.2× 20 0.7× 48 1.9× 15 385
Mathew W. McLean United States 6 80 0.3× 39 0.5× 2 0.0× 22 0.8× 3 0.1× 7 215

Countries citing papers authored by Yuanshan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanshan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanshan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanshan Wu. A scholar is included among the top collaborators of Yuanshan Wu 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 Yuanshan Wu. Yuanshan Wu 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.
Wu, Yuanshan, Saeed Jerban, Aiguo Han, et al.. (2024). Quantitative ultrasound assessment of fatty infiltration of the rotator cuff muscles using backscatter coefficient. European Radiology Experimental. 8(1). 119–119.
2.
Mohana‐Borges, Aurea V. R., Ronaldo Mohana‐Borges, Sheronda Statum, et al.. (2024). Neurovascular crossing patterns between leash of Henry and deep branch of radial nerve: implications for neurointervention and diagnostic imaging. Skeletal Radiology. 54(3). 493–507.
3.
Wu, Yuanshan, et al.. (2024). Influences of Variability in Attenuation Compensation on the Estimation of Backscatter Coefficient of Median Nerves in Vivo. Journal of Ultrasound in Medicine. 44(1). 97–109.
4.
Liu, Yanyan, et al.. (2023). Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest. Canadian Journal of Statistics. 52(3). 783–803.
5.
Jerban, Saeed, et al.. (2023). Skeletal Muscle Assessment Using Quantitative Ultrasound: A Narrative Review. Sensors. 23(10). 4763–4763. 18 indexed citations
6.
Wu, Yuanshan, Aiguo Han, Michael P. André, et al.. (2023). Quantitative evaluation of rat sciatic nerve degeneration using high-frequency ultrasound. Scientific Reports. 13(1). 20228–20228. 1 indexed citations
8.
Wu, Yuanshan, et al.. (2022). Order-Dispatching Strategy Induced by Optimal Transport Plan for an Online Ride-Hailing System. Transportation Research Record Journal of the Transportation Research Board. 2676(6). 156–169. 1 indexed citations
9.
Liu, Yanyan, et al.. (2020). Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data. Lifetime Data Analysis. 26(4). 708–730. 1 indexed citations
10.
Liu, Yanyan, et al.. (2020). Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 21(207). 1–37. 7 indexed citations
11.
Wu, Yuanshan, et al.. (2018). An ADMM with continuation algorithm for non-convex SICA-penalized regression in high dimensions. Journal of Statistical Computation and Simulation. 88(9). 1826–1846. 7 indexed citations
12.
Zhang, Jing, Guosheng Yin, Yanyan Liu, & Yuanshan Wu. (2017). Censored cumulative residual independent screening for ultrahigh-dimensional survival data. Lifetime Data Analysis. 24(2). 273–292. 13 indexed citations
13.
Liu, Yanyan, et al.. (2016). Correlation rank screening for ultrahigh-dimensional survival data. Computational Statistics & Data Analysis. 108. 121–132. 28 indexed citations
14.
Zhou, Chen, Hao Jiang, Yanqiu Chen, et al.. (2016). TCB: A feature transformation method based central behavior for user interest prediction on mobile big data. International Journal of Distributed Sensor Networks. 12(10). 812019893–812019893. 4 indexed citations
15.
Wu, Yuanshan & Guosheng Yin. (2015). Conditional quantile screening in ultrahigh-dimensional heterogeneous data. Biometrika. 102(1). 65–76. 56 indexed citations
16.
Zhang, Jing, Yanyan Liu, & Yuanshan Wu. (2015). Exponential regression for censored data with outliers. Journal of Statistical Computation and Simulation. 86(3). 431–442. 3 indexed citations
17.
Xu, Dan, Yuanshan Wu, Lang Shen, et al.. (2012). A hypothalamic–pituitary–adrenal axis-associated neuroendocrine metabolic programmed alteration in offspring rats of IUGR induced by prenatal caffeine ingestion. Toxicology and Applied Pharmacology. 264(3). 395–403. 73 indexed citations
18.
Zhou, Haibo, Rui Song, Yuanshan Wu, & Jing Qin. (2010). Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome. Biometrics. 67(1). 194–202. 16 indexed citations
19.
Liu, Yanyan, Yuanshan Wu, Jianwen Cai, & Haibo Zhou. (2010). Additive–multiplicative rates model for recurrent events. Lifetime Data Analysis. 16(3). 353–373. 27 indexed citations
20.
Liu, Yanyan, Yuanshan Wu, & Haibo Zhou. (2009). Multivariate failure times regression with a continuous auxiliary covariate. Journal of Multivariate Analysis. 101(3). 679–691. 9 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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