Yuling Yao

37 total papers · 1.0k total citations
11 papers, 194 citations indexed

About

Yuling Yao is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Yuling Yao has authored 11 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Economics and Econometrics and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Yuling Yao's work include Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers) and COVID-19 Pandemic Impacts (2 papers). Yuling Yao is often cited by papers focused on Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers) and COVID-19 Pandemic Impacts (2 papers). Yuling Yao collaborates with scholars based in United States, Canada and Germany. Yuling Yao's co-authors include Andrew Gelman, Aki Vehtari, Daniel Simpson, Topi Paananen, Måns Magnusson, Jonah Gabry, Paul‐Christian Bürkner, Donald Lien, Yu‐Sung Su and Alexander van Geen and has published in prestigious journals such as Physical review. D, JAMA Network Open and International Review of Economics & Finance.

In The Last Decade

Yuling Yao

11 papers receiving 189 citations

Author Peers

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

Author						Papers	Cites
Yuling Yao	30	28	25	22	21	11	194
Ashley Barnett	10 0.3×	19 0.7×	37 1.5×	33 1.5×	14 0.7×	8	246
Yihui Xie	21 0.7×	45 1.6×	21 0.8×	9 0.4×	9 0.4×	14	289
William Michael Landau	12 0.4×	23 0.8×	23 0.9×	14 0.6×	6 0.3×	8	213
John Beatty	12 0.4×	14 0.5×	11 0.4×	6 0.3×	7 0.3×	11	157
James R. Zweifel	92 3.1×	17 0.6×	30 1.2×	22 1.0×	12 0.6×	7	268
M. Mushfiqur Rashid	101 3.4×	13 0.5×	8 0.3×	9 0.4×	15 0.7×	13	289
Måns Magnusson	14 0.5×	80 2.9×	18 0.7×	14 0.6×	7 0.3×	15	217
Douglas F. Stalker	5 0.2×	19 0.7×	12 0.5×	4 0.2×	18 0.9×	16	238
Şebnem Er	15 0.5×	16 0.6×	62 2.5×	11 0.5×	4 0.2×	14	281
Topi Paananen	18 0.6×	13 0.5×	21 0.8×	14 0.6×	4 0.2×	5	89

Countries citing papers authored by Yuling Yao

Since Specialization

Citations

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

Fields of papers citing papers by Yuling Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuling Yao

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

All Works

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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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