Yun Yang

93 total papers · 2.0k total citations
38 papers, 897 citations indexed

About

Yun Yang is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Yun Yang has authored 38 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 17 papers in Statistics and Probability and 6 papers in Computational Mechanics. Recurrent topics in Yun Yang's work include Statistical Methods and Inference (15 papers), Bayesian Methods and Mixture Models (10 papers) and Gaussian Processes and Bayesian Inference (6 papers). Yun Yang is often cited by papers focused on Statistical Methods and Inference (15 papers), Bayesian Methods and Mixture Models (10 papers) and Gaussian Processes and Bayesian Inference (6 papers). Yun Yang collaborates with scholars based in United States, China and United Kingdom. Yun Yang's co-authors include Michael I. Jordan, Jason D. Lee, Martin J. Wainwright, David B. Dunson, Antonio R. Linero, Mert Pilancı, Anirban Bhattacharya, Debdeep Pati, Sunil Wadhwa and Jennifer L. Robinson and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yun Yang

35 papers receiving 869 citations

Author Peers

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

Author						Papers	Cites
Yun Yang	403	391	123	84	82	38	897
Yubin Yubin	370 0.9×	226 0.6×	194 1.6×	118 1.4×	49 0.6×	48	1.0k
Jacob Bien	180 0.4×	305 0.8×	84 0.7×	94 1.1×	13 0.2×	35	954
Stéphan Clémençon	270 0.7×	461 1.2×	65 0.5×	140 1.7×	43 0.5×	81	953
Ziwei Zhu	204 0.5×	168 0.4×	93 0.8×	47 0.6×	54 0.7×	39	795
Mohsen Maleki	302 0.7×	396 1.0×	26 0.2×	43 0.5×	21 0.3×	57	1.0k
J. P. Imhof	467 1.2×	150 0.4×	30 0.2×	19 0.2×	60 0.7×	20	1.0k
Yiyuan She	356 0.9×	290 0.7×	326 2.7×	234 2.8×	35 0.4×	35	1.0k
A. E. Sarhan	576 1.4×	152 0.4×	27 0.2×	35 0.4×	24 0.3×	34	1.0k
Shuheng Zhou	263 0.7×	370 0.9×	122 1.0×	47 0.6×	171 2.1×	41	879
Florentina Bunea	365 0.9×	193 0.5×	182 1.5×	47 0.6×	26 0.3×	51	834

Countries citing papers authored by Yun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Yun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Yang. A scholar is included among the top collaborators of Yun Yang 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 Yun Yang. Yun Yang 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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