Ya Xu

2.1k total citations
16 papers, 843 citations indexed

About

Ya Xu is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ya Xu has authored 16 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ya Xu's work include Statistical Methods in Clinical Trials (7 papers), Meta-analysis and systematic reviews (3 papers) and Complex Network Analysis Techniques (3 papers). Ya Xu is often cited by papers focused on Statistical Methods in Clinical Trials (7 papers), Meta-analysis and systematic reviews (3 papers) and Complex Network Analysis Techniques (3 papers). Ya Xu collaborates with scholars based in United States, China and Hong Kong. Ya Xu's co-authors include Ron Kohavi, Alex Deng, Toby Walker, Roger Longbotham, Diane Tang, Anmol Bhasin, Nanyu Chen, Huan Gui, Jiawei Han and Martin Saveski and has published in prestigious journals such as Trials, International Journal of Extreme Manufacturing and Discrete Dynamics in Nature and Society.

In The Last Decade

Ya Xu

15 papers receiving 776 citations

Peers

Ya Xu

SP

IS

AI

MSOR

CSA

Alex Deng United States

Roger Longbotham United States

Toby Walker United States

Gustavo Soares United States

Juan F. Huete Spain

María A. Martínez Spain

Bennet P. Lientz United States

Xiao Fang United States

Pavel Serdyukov Russia

Gerhard Paaß Germany

Alex Deng United States

Ya Xu

243 ×0.9

SP

212 ×0.9

IS

205 ×0.9

AI

129 ×0.9

MSOR

130 ×0.9

CSA

Citations per year, relative to Ya Xu Ya Xu (= 1×) peers Alex Deng

Countries citing papers authored by Ya Xu

Since Specialization

Citations

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

Fields of papers citing papers by Ya Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Xu. A scholar is included among the top collaborators of Ya Xu 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 Ya Xu. Ya Xu 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:

16 of 16 papers shown

1.

Piao, Chang‐Hua, Xinyu Du, Ya Xu, et al.. (2025). Time-dependent volumetric printing of precision lenses through dynamic laser writing. International Journal of Extreme Manufacturing. 7(4). 45007–45007. 1 indexed citations

2.

Xu, Ya, et al.. (2023). CMAIS-WOA: An Improved WOA with Chaotic Mapping and Adaptive Iterative Strategy. Discrete Dynamics in Nature and Society. 2023. 1–18. 6 indexed citations

3.

Xu, Ya & S. W. Lee. (2023). Analysis of design elements of educational toys for preschool childrenaged 3~6 years old: Taking KANO-AHP model as the core. 8(4). 76–90. 1 indexed citations

4.

Kohavi, Ron, Diane Tang, Ya Xu, Lars G. Hemkens, & John P. A. Ioannidis. (2020). Online randomized controlled experiments at scale: lessons and extensions to medicine. Trials. 21(1). 150–150. 20 indexed citations

5.

Kohavi, Ron, Diane Tang, & Ya Xu. (2020). Trustworthy Online Controlled Experiments. Cambridge University Press eBooks. 96 indexed citations

6.

Kohavi, Ron, Diane Tang, & Ya Xu. (2020). Trustworthy Online Controlled Experiments.

7.

Chen, Nanyu, Min Liu, & Ya Xu. (2019). How A/B Tests Could Go Wrong. 501–509. 5 indexed citations

8.

Xu, Ya, et al.. (2018). SQR. 895–904. 10 indexed citations

9.

Saveski, Martin, et al.. (2017). Detecting Network Effects. 1027–1035. 33 indexed citations

10.

Xu, Ya & Nanyu Chen. (2016). Evaluating Mobile Apps with A/B and Quasi A/B Tests. 313–322. 15 indexed citations

11.

Xu, Ya, et al.. (2015). From Infrastructure to Culture. 2227–2236. 101 indexed citations

12.

Gui, Huan, Ya Xu, Anmol Bhasin, & Jiawei Han. (2015). Network A/B Testing. 399–409. 50 indexed citations

13.

Kohavi, Ron, Alex Deng, Roger Longbotham, & Ya Xu. (2014). Seven rules of thumb for web site experimenters. 1857–1866. 99 indexed citations

14.

Kohavi, Ron, et al.. (2013). Online controlled experiments at large scale. 1168–1176. 188 indexed citations

15.

Deng, Alex, Ya Xu, Ron Kohavi, & Toby Walker. (2013). Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. 123–132. 96 indexed citations

16.

Kohavi, Ron, et al.. (2012). Trustworthy online controlled experiments. 786–794. 122 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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