Ying‐Qi Zhao

2.4k total citations · 1 hit paper
70 papers, 1.3k citations indexed

About

Ying‐Qi Zhao is a scholar working on Statistics and Probability, Economics and Econometrics and Oncology. According to data from OpenAlex, Ying‐Qi Zhao has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 8 papers in Economics and Econometrics and 7 papers in Oncology. Recurrent topics in Ying‐Qi Zhao's work include Statistical Methods and Inference (23 papers), Advanced Causal Inference Techniques (21 papers) and Statistical Methods in Clinical Trials (20 papers). Ying‐Qi Zhao is often cited by papers focused on Statistical Methods and Inference (23 papers), Advanced Causal Inference Techniques (21 papers) and Statistical Methods in Clinical Trials (20 papers). Ying‐Qi Zhao collaborates with scholars based in United States, China and South Africa. Ying‐Qi Zhao's co-authors include Donglin Zeng, Michael R. Kosorok, Eric B. Laber, A. John Rush, Bibhas Chakraborty, Rui Song, Ming Yuan, Sijian Wang, Menggang Yu and Quefeng Li and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Ying‐Qi Zhao

59 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estimating Individualized Treatment Rules Using Outcome Weighted Learning

2012 412 citations Ying‐Qi Zhao, Donglin Zeng et al. Journal of the American Statistical Association profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ying‐Qi Zhao	817	219	129	118	100	70	1.3k
D. Y. Lin	755 0.9×	105 0.5×	127 1.0×	71 0.6×	42 0.4×	22	1.1k
Didier Renard	633 0.8×	336 1.5×	42 0.3×	100 0.8×	73 0.7×	42	1.7k
Ariel Alonso	676 0.8×	313 1.4×	68 0.5×	55 0.5×	67 0.7×	85	1.1k
Hyokyoung G. Hong	339 0.4×	65 0.3×	184 1.4×	275 2.3×	146 1.5×	69	1.3k
Sofía S. Villar	367 0.4×	168 0.8×	86 0.7×	72 0.6×	47 0.5×	57	1.0k
Babak Choodari‐Oskooei	360 0.4×	216 1.0×	24 0.2×	66 0.6×	55 0.6×	32	849
Nadeem Shafique Butt	848 1.0×	41 0.2×	77 0.6×	81 0.7×	100 1.0×	120	1.6k
James D. Stamey	358 0.4×	104 0.5×	88 0.7×	53 0.4×	28 0.3×	83	738
Quefeng Li	245 0.3×	61 0.3×	89 0.7×	61 0.5×	109 1.1×	79	1.1k
Lueping Zhao	320 0.4×	57 0.3×	63 0.5×	47 0.4×	31 0.3×	13	740

Countries citing papers authored by Ying‐Qi Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Ying‐Qi Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying‐Qi Zhao

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

All Works

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20 of 20 papers shown

Wu, Ting, Ying‐Qi Zhao, Xinming Zhang, et al.. (2025). Short‐chain acyl post‐translational modifications in cancers: Mechanisms, roles, and therapeutic implications. Cancer Communications. 45(10). 1247–1284. 17 indexed citations

Liang, Muxuan, et al.. (2025). Efficient surrogate-assisted inference for patient-reported outcome measures with complex missing mechanism. Electronic Journal of Statistics. 19(1). 1 indexed citations

Chari, Suresh T., Ziding Feng, Bechien U. Wu, et al.. (2025). Heuriskance: a novel paradigm for systematic earlier detection of sporadic pancreatic cancer. JNCI Journal of the National Cancer Institute.

Chen, Yuhuan, et al.. (2024). Exposing video surveillance object forgery by combining TSF features and attention-based deep neural networks. Journal of Visual Communication and Image Representation. 104. 104267–104267.

Tsao, Anne S., Marianna Koczywas, Jonathan W. Riess, et al.. (2024). S1701: A randomized phase II trial of carboplatin-paclitaxel with and without ramucirumab in patients with locally advanced, recurrent, or metastatic thymic carcinoma.. Journal of Clinical Oncology. 42(16_suppl). 8110–8110. 3 indexed citations

Tsao, Anne S., Marianna Koczywas, Jonathan W. Riess, et al.. (2024). S1701, A Randomized Phase 2 Trial of Carboplatin-Paclitaxel With and Without Ramucirumab in Patients With Locally Advanced, Recurrent, or Metastatic Thymic Carcinoma. JTO Clinical and Research Reports. 5(12). 100738–100738. 1 indexed citations

Karim, Nagla Abdel, Jieling Miao, Karen L. Reckamp, et al.. (2024). Phase II Randomized Study of Maintenance Atezolizumab Versus Atezolizumab Plus Talazoparib in Patients With SLFN11 Positive Extensive-Stage SCLC: S1929. Journal of Thoracic Oncology. 20(3). 383–394. 12 indexed citations

Yu, Hui, Yu Zhang, Ligang He, et al.. (2024). RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. Warwick Research Archive Portal (University of Warwick). 1264–1277. 2 indexed citations

Zheng, Yingye, Amit G. Singal, Samir Hanash, et al.. (2024). Designing Rigorous and Efficient Clinical Utility Studies for Early Detection Biomarkers. Cancer Epidemiology Biomarkers & Prevention. 33(9). 1150–1157. 1 indexed citations

10.

Zhao, Ying‐Qi, et al.. (2023). Path Planning Algorithm for Unmanned Surface Vessel Based on Multiobjective Reinforcement Learning. Computational Intelligence and Neuroscience. 2023(1). 2146314–2146314. 5 indexed citations

11.

Wang, Guoliang, et al.. (2022). Hypothalamic-Pituitary-Adrenal Hormones Impair Pig Fertilization and Preimplantation Embryo Development via Inducing Oviductal Epithelial Apoptosis: An In Vitro Study. Cells. 11(23). 3891–3891.

12.

Laber, Eric B., et al.. (2021). Reinforced Risk Prediction With Budget Constraint Using Irregularly Measured Data From Electronic Health Records. Journal of the American Statistical Association. 118(542). 1090–1101. 2 indexed citations

13.

Schwei, Rebecca J., et al.. (2020). What Matters When It Comes to Trust in One's Physician: Race/Ethnicity, Sociodemographic Factors, and/or Access to and Experiences with Health Care?. Health Equity. 4(1). 280–289. 12 indexed citations

14.

Liu, Ying, Yuanjia Wang, Michael R. Kosorok, Ying‐Qi Zhao, & Donglin Zeng. (2018). Augmented outcome‐weighted learning for estimating optimal dynamic treatment regimens. Statistics in Medicine. 37(26). 3776–3788. 41 indexed citations

15.

Zhang, Chong, et al.. (2018). Multicategory Outcome Weighted Margin-based Learning for Estimating Individualized Treatment Rules. Statistica Sinica. 30. 1857–1879. 16 indexed citations

16.

Zhao, Ying‐Qi, et al.. (2016). Review: Application of Non-destructive Techniques for Fruit Quality Classification. Advance Journal of Food Science and Technology. 12(7). 388–395. 4 indexed citations

17.

Zhao, Ying‐Qi, et al.. (2015). Electronic Health Records and Community Health Surveillance of Childhood Obesity. American Journal of Preventive Medicine. 48(2). 234–240. 46 indexed citations

18.

Chakraborty, Bibhas, Eric B. Laber, & Ying‐Qi Zhao. (2013). Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m‐Out‐of‐n Bootstrap Scheme. Biometrics. 69(3). 714–723. 67 indexed citations

19.

Zhao, Ying‐Qi & Donglin Zeng. (2013). Recent development on statistical methods for personalized medicine discovery. Frontiers of Medicine. 7(1). 102–110. 16 indexed citations

20.

Hua, Steven Y., et al.. (2010). Multivariate Failure Time Analysis when only the Time to First Failure is Observed. Communications in Statistics - Simulation and Computation. 40(1). 113–128. 1 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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