Zhiliang Ying

7.1k total citations
139 papers, 4.8k citations indexed

About

Zhiliang Ying is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Zhiliang Ying has authored 139 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Statistics and Probability, 37 papers in Management Science and Operations Research and 22 papers in Artificial Intelligence. Recurrent topics in Zhiliang Ying's work include Statistical Methods and Inference (68 papers), Statistical Methods and Bayesian Inference (35 papers) and Advanced Statistical Methods and Models (20 papers). Zhiliang Ying is often cited by papers focused on Statistical Methods and Inference (68 papers), Statistical Methods and Bayesian Inference (35 papers) and Advanced Statistical Methods and Models (20 papers). Zhiliang Ying collaborates with scholars based in United States, China and Hong Kong. Zhiliang Ying's co-authors include Tze Leung Lai, Hua-Hua Chang, Jingchen Liu, D. Y. Lin, Gongjun Xu, Steven B. Heymsfield, ZiMian Wang, Yunxiao Chen, Wiebke Later and Anja Bosy‐Westphal and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Zhiliang Ying

131 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiliang Ying United States 39 2.1k 1.0k 939 517 436 139 4.8k
Ajit C. Tamhane United States 31 2.2k 1.0× 1.8k 1.8× 456 0.5× 164 0.3× 375 0.9× 121 5.3k
Jonathan M. Garibaldi United Kingdom 39 565 0.3× 930 0.9× 2.4k 2.6× 298 0.6× 1.0k 2.3× 274 6.5k
George Michailidis United States 47 650 0.3× 328 0.3× 904 1.0× 641 1.2× 2.8k 6.4× 257 7.7k
Xiaotong Shen United States 44 1.9k 0.9× 281 0.3× 1.7k 1.9× 128 0.2× 1.4k 3.3× 226 6.5k
William DuMouchel United States 39 1.0k 0.5× 352 0.3× 788 0.8× 369 0.7× 1.5k 3.4× 78 7.6k
Theodoros Evgeniou France 30 266 0.1× 450 0.4× 2.5k 2.7× 137 0.3× 255 0.6× 73 5.7k
James R. Wilson United States 36 622 0.3× 1.5k 1.4× 249 0.3× 163 0.3× 469 1.1× 215 4.1k
Jian Huang United States 43 3.8k 1.8× 271 0.3× 1.5k 1.6× 177 0.3× 2.4k 5.4× 240 8.4k
Ioannis Tsamardinos Greece 30 305 0.1× 561 0.5× 2.8k 3.0× 379 0.7× 1.7k 3.9× 135 5.6k

Countries citing papers authored by Zhiliang Ying

Since Specialization
Citations

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

Fields of papers citing papers by Zhiliang Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiliang Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiliang Ying. A scholar is included among the top collaborators of Zhiliang Ying 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 Zhiliang Ying. Zhiliang Ying 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
2.
Ying, Zhiliang, et al.. (2025). Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach. British Journal of Mathematical and Statistical Psychology. 78(3). 804–829.
3.
Zhang, Susu, Xueying Tang, Qiwei He, Jingchen Liu, & Zhiliang Ying. (2024). External Correlates of Adult Digital Problem-Solving Process. Zeitschrift für Psychologie. 232(2). 120–136. 1 indexed citations
4.
Ying, Zhiliang, et al.. (2024). Diagnostic Classification Models for Testlets: Methods and Theory. Psychometrika. 89(3). 851–876. 2 indexed citations
5.
Zhang, Susu, et al.. (2022). Accurate Assessment via Process Data. Psychometrika. 88(1). 76–97. 10 indexed citations
6.
Liu, Qingfu, et al.. (2021). The pricing mechanism between ETF option and spot markets in China. Journal of Futures Markets. 41(8). 1286–1300. 3 indexed citations
7.
Lü, Ying, Dylan S. Small, & Zhiliang Ying. (2020). A Conversation with Tze Leung Lai. Statistical Science. 36(1).
8.
Chen, Yunxiao, Xiaoou Li, Jingchen Liu, & Zhiliang Ying. (2019). Statistical Analysis of Complex Problem-Solving Process Data: An Event History Analysis Approach. Frontiers in Psychology. 10. 486–486. 26 indexed citations
9.
Li, Xiaoou, Jingchen Liu, & Zhiliang Ying. (2018). Chernoff index for Cox test of separate parametric families. The Annals of Statistics. 46(1). 1–29. 7 indexed citations
10.
Chen, Yunxiao, Xiaoou Li, Jingchen Liu, & Zhiliang Ying. (2018). Robust Measurement via A Fused Latent and Graphical Item Response Theory Model. Psychometrika. 83(3). 538–562. 18 indexed citations
11.
Ma, Weiping, Yang Feng, Kani Chen, & Zhiliang Ying. (2015). Functional and Parametric Estimation in a Semi- and Nonparametric Model with Application to Mass-Spectrometry Data. The International Journal of Biostatistics. 11(2). 285–303. 1 indexed citations
12.
Liu, Jingchen, et al.. (2015). Statistical analysis of Q-matrix based diagnostic classification models. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 22 indexed citations
13.
Liu, Jingchen, et al.. (2014). Statistical Analysis ofQ-Matrix Based Diagnostic Classification Models. Journal of the American Statistical Association. 110(510). 850–866. 127 indexed citations
14.
Xu, Gongjun, Bodhisattva Sen, & Zhiliang Ying. (2014). Bootstrapping a change-point Cox model for survival data. Electronic Journal of Statistics. 8(1). 1345–1379. 9 indexed citations
15.
Luo, Xiaolong, Gongjun Xu, & Zhiliang Ying. (2013). Sequential analysis of Cox model under response adaptive allocation. Statistica Sinica. 23. 1 indexed citations
16.
Chen, Kani, et al.. (2005). Rank estimation in partial linear model with censored data. Statistica Sinica. 15(3). 767–779. 11 indexed citations
17.
Simpson, Douglas G., et al.. (2000). INFILL ASYMPTOTICS FOR A STOCHASTIC PROCESS MODEL WITH MEASUREMENT ERROR. Statistica Sinica. 10(1). 141–156. 38 indexed citations
18.
Blumenthal, Rosalyn D., et al.. (2000). Anti-oxidant vitamins reduce normal tissue toxicity induced by radio-immunotherapy. International Journal of Cancer. 86(2). 276–280. 44 indexed citations
19.
Blumenthal, Rosalyn D., et al.. (2000). Plasma FLT3-L levels predict bone marrow recovery from myelosuppressive therapy. Cancer. 88(2). 333–343. 28 indexed citations
20.
Chang, Hua-Hua & Zhiliang Ying. (1996). A Global Information Approach to Computerized Adaptive Testing. Applied Psychological Measurement. 20(3). 213–229. 249 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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