Qing Mai

61 total papers · 610 total citations
30 papers, 354 citations indexed

About

Qing Mai is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mathematics. According to data from OpenAlex, Qing Mai has authored 30 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 11 papers in Computational Mathematics. Recurrent topics in Qing Mai's work include Statistical Methods and Inference (13 papers), Tensor decomposition and applications (11 papers) and Bayesian Methods and Mixture Models (6 papers). Qing Mai is often cited by papers focused on Statistical Methods and Inference (13 papers), Tensor decomposition and applications (11 papers) and Bayesian Methods and Mixture Models (6 papers). Qing Mai collaborates with scholars based in United States, China and United Kingdom. Qing Mai's co-authors include Hui Zou, Yuqing Pan, Xin Zhang, Xin Zhang, Kai Deng, Sheng Liu, Wenjing Wang, Shaokang Ren, Xin Zhang and Kai Deng and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Qing Mai

29 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Qing Mai	171	134	70	63	59	30	354
Takashi Takenouchi	106 0.6×	173 1.3×	19 0.3×	75 1.2×	26 0.4×	38	351
Ambedkar Dukkipati	26 0.2×	135 1.0×	40 0.6×	86 1.4×	23 0.4×	43	332
Diwei Zhou	36 0.2×	62 0.5×	17 0.2×	66 1.0×	16 0.3×	24	311
Zhenhua Lin	165 1.0×	96 0.7×	4 0.1×	18 0.3×	23 0.4×	27	321
Ethan X. Fang	115 0.7×	127 0.9×	8 0.1×	28 0.4×	43 0.7×	24	376
Xuening Zhu	82 0.5×	67 0.5×	5 0.1×	18 0.3×	25 0.4×	40	358
Johannes Lederer	154 0.9×	73 0.5×		29 0.5×	35 0.6×	29	309
Ling Zhou	156 0.9×	91 0.7×		80 1.3×	28 0.5×	26	336
Wenyu Jiang	139 0.8×	60 0.4×		46 0.7×	82 1.4×	30	338
Xinyuan Zhao	13 0.1×	42 0.3×	14 0.2×	24 0.4×	12 0.2×	25	366

Countries citing papers authored by Qing Mai

Since Specialization

Citations

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

Fields of papers citing papers by Qing Mai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Mai

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