Wang Miao

45 papers receiving 882 citations

Peers

Wang Miao
Comparison fields: 5 of 134
  • Statistics and Probability 366
  • Economics and Econometrics 214
  • Artificial Intelligence 118
  • General Economics, Econometrics and Finance 103
  • Strategy and Management 87
Replace Emmanuel Flachaire with:
Emmanuel Flachaire France
Jennifer Chan Australia
Andreas Alfons Netherlands
Valentino Dardanoni Italy
Marcelo J. Moreira United States
Alfred Hamerle Germany
Maximilian Kasy United States
Michael Parzen United States
Iván Fernández‐Val United States
Catalina Bolancé Spain
Wang Miao relative to Emmanuel Flachaire France Emmanuel Flachaire's profile →
Citations per field
00.5×3.5×
Emmanuel Flachaire · 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-authorship network of co-authors of Wang Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Miao. A scholar is included among the top collaborators of Wang Miao 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 Wang Miao. Wang Miao 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 0
2 0
3 1
4 0
5 0
6 3
7 19
8 2
9 0
10 3
11 88
12
Bipartite graphs with every k-matching in a Hamiltonian cycle.
1
13
Multiply Robust Causal Inference With Double Negative Control Adjustment for Unmeasured Confounding
1
14 5
15 106
16 5
17 23
18 43
19
Identification and Inference for Marginal Average Treatment Effect on the Treated With an Instrumental Variable
6
20 2

About Wang Miao

Wang Miao is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 53 papers that have together received 914 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (19 papers), Statistical Methods and Bayesian Inference (18 papers) and Statistical Methods and Inference (18 papers). The work is most often cited by research in Statistics and Probability (366 citations), General Economics, Econometrics and Finance (103 citations) and Economics and Econometrics (214 citations). Wang Miao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include M. C. Sunny Wong, Eric J. Tchetgen Tchetgen, Xu Shi, Eric Tchetgen Tchetgen, Zhi Geng, Zhi Geng, Peng Ding, Joseph L. Gastwirth, Jennifer C. Nelson and Zhichao Jiang. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and International Journal of Molecular Sciences.

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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