Wang Miao

1.4k citations
27 papers · 605 · h-index 12

Impact in

Papers in

    • Advanced Causal Inference Techniques 19
    • Statistical Methods and Inference 18
    • Statistical Methods and Bayesian Inference 16
    • Statistical Methods in Clinical Trials 5
    • Bayesian Modeling and Causal Inference 3
    • Bayesian Methods and Mixture Models 3

Wang Miao

26 papers receiving 596 citations

Peers

Wang Miao
Comparison fields: 5 of 104
  • Statistics and Probability 331
  • Statistics, Probability and Uncertainty 25
  • Artificial Intelligence 115
  • Health 20
  • Economics and Econometrics 72
Replace Zhi Geng with:
Zhi Geng China
Mark J. van der Laan United States
D. Y. Lin United States
Genya Kobayashi Japan
Jae Kwang Kim United States
Wangli Xu China
Rosângela H. Loschi Brazil
Ying‐Qi Zhao United States
Grace Y. Yi Canada
Wang Miao relative to Zhi Geng China Zhi Geng's profile →
Citations per field
00.5×2.9×
Zhi Geng · 1×
Citations per year

Countries citing papers authored by Wang Miao

Since Specialization
Citations

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

Fields of papers citing papers by Wang Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wang Miao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wang Miao Line = papers co-authored together Wang Miao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2 202097
3 202093
4 201552
5 202049
6 201643
7 201724
8 202221
9 202321
10 202018
11 202414
12 201712
13 20229
14 20237
15
Identification and Inference for Marginal Average Treatment Effect on the Treated With an Instrumental Variable
20156
16 20185
17 20184
18 20244
19 20233
20 20203

About Wang Miao

Wang Miao is a scholar working on Statistics and Probability, Artificial Intelligence, Economics and Econometrics, General Health Professions and Control and Systems Engineering, having authored 27 papers that have together received 605 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (19 papers), Statistical Methods and Inference (18 papers), Statistical Methods and Bayesian Inference (16 papers), Statistical Methods in Clinical Trials (5 papers), Bayesian Modeling and Causal Inference (3 papers), Bayesian Methods and Mixture Models (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Graph theory and applications (1 paper). The work is most often cited by research in Statistics and Probability (331 citations), Statistics, Probability and Uncertainty (25 citations), Artificial Intelligence (115 citations), Health (20 citations) and Economics and Econometrics (72 citations). Wang Miao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Eric J. Tchetgen Tchetgen, Xu Shi, Eric Tchetgen Tchetgen, Zhi Geng, Zhi Geng, Peng Ding, Jennifer C. Nelson, Lian Li, Kun Kuang and Peng Ding. Their work appears in journals such as Statistica Sinica, Journal of the American Statistical Association, Biometrika, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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