Ying‐Qi Zhao

2.4k citations
70 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
Statistical Methods and Inference (23 papers)Advanced Causal Inference Techniques (21 papers)Statistical Methods in Clinical Trials (20 papers)

In The Last Decade

Ying‐Qi Zhao

59 papers receiving 1.2k citations

Hit Papers

Estimating Individualized Treatment Rules Using Outcome W...20122026201620212012100200300400

Peers

Ying‐Qi Zhao
Comparison fields: 5 of 123
  • Statistics and Probability 817
  • Economics and Econometrics 219
  • Artificial Intelligence 129
  • Epidemiology 118
  • Molecular Biology 100
Replace Ariel Alonso with:
Ariel Alonso Belgium
Nadeem Shafique Butt Saudi Arabia
Matteo Quartagno United Kingdom
Didier Renard Belgium
D. Y. Lin United States
James D. Stamey United States
Driss Oraichi Canada
Hyokyoung G. Hong United States
David Ohlssen Switzerland
Perrine Janiaud United States
Ying‐Qi Zhao relative to Ariel Alonso Belgium Ariel Alonso's profile →
Citations per field
00.5×
Ariel Alonso · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 17
2 1
3 0
4 3
5 1
6 5
7 0
8 2
9 31
10 24
11 12
12 41
13 16
14 1
15 4
16 6
17 110
18 28
19 9
20 1

About Ying‐Qi Zhao

Ying‐Qi Zhao is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Agronomy and Crop Science, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (23 papers), Advanced Causal Inference Techniques (21 papers) and Statistical Methods in Clinical Trials (20 papers). The work is most often cited by research in Statistics and Probability (817 citations), Economics and Econometrics (219 citations) and Management Science and Operations Research (63 citations). Ying‐Qi Zhao has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Donglin Zeng, Michael R. Kosorok, Eric B. Laber, A. John Rush, Bibhas Chakraborty, Rui Song, Ming Yuan, Sijian Wang, Yaoyao Xu and Jun Shao. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and PLoS ONE.

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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