Keming Yu

7.8k total citations · 3 hit papers
134 papers, 5.5k citations indexed

About

Keming Yu is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Keming Yu has authored 134 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Statistics and Probability, 37 papers in Artificial Intelligence and 21 papers in Finance. Recurrent topics in Keming Yu's work include Statistical Methods and Inference (67 papers), Advanced Statistical Methods and Models (39 papers) and Bayesian Methods and Mixture Models (30 papers). Keming Yu is often cited by papers focused on Statistical Methods and Inference (67 papers), Advanced Statistical Methods and Models (39 papers) and Bayesian Methods and Mixture Models (30 papers). Keming Yu collaborates with scholars based in United Kingdom, China and United States. Keming Yu's co-authors include David J. Hand, Rana Moyeed, Huiming Zhu, M. C. Jones, Zudi Lu, Julian Stander, Yawei Guo, Lijun Duan, Rahim Alhamzawi and Jin Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Keming Yu

125 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression

2016 711 citations Keming Yu et al. profile →
Bayesian quantile regression

2001 647 citations Keming Yu et al. profile →
Idiot's Bayes—Not So Stupid After All?

2001 592 citations Keming Yu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Keming Yu United Kingdom	33	2.2k	1.8k	1.3k	568	557	134	5.5k
Nicolai Meinshausen Switzerland	25	1.2k 0.5×	1.7k 0.9×	1.0k 0.8×	1.1k 1.9×	233 0.4×	65	8.2k
Jeffrey S. Racine United States	30	1.3k 0.6×	1.9k 1.1×	490 0.4×	103 0.2×	605 1.1×	90	4.9k
John Rice Australia	40	1.3k 0.6×	612 0.3×	541 0.4×	174 0.3×	231 0.4×	176	6.2k
Claudia Czado Germany	36	1.5k 0.7×	1.8k 1.0×	849 0.7×	71 0.1×	2.1k 3.8×	141	5.9k
Edward W. Frees United States	30	1.2k 0.5×	2.0k 1.1×	489 0.4×	245 0.4×	1.0k 1.8×	91	4.4k
Mark F. J. Steel United Kingdom	35	1.7k 0.8×	3.0k 1.7×	940 0.7×	142 0.3×	1.7k 3.0×	128	6.2k
Robert Kohn Australia	38	2.3k 1.0×	1.7k 1.0×	1.8k 1.4×	62 0.1×	1.3k 2.4×	218	6.2k
Sylvia Frühwirth‐Schnatter Austria	27	1.5k 0.7×	1.6k 0.9×	1.6k 1.2×	81 0.1×	1.1k 2.0×	71	4.5k
Ali S. Hadi United States	32	2.1k 1.0×	839 0.5×	1.3k 1.0×	50 0.1×	463 0.8×	99	7.6k
Robert E. McCulloch United States	26	2.2k 1.0×	1.1k 0.6×	1.7k 1.3×	41 0.1×	493 0.9×	63	6.0k

Countries citing papers authored by Keming Yu

Since Specialization

Citations

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

Fields of papers citing papers by Keming Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keming Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yu, Keming, et al.. (2024). Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(5). 1160–1160. 2 indexed citations

Chen, Pei, et al.. (2024). A Comparative and Prospective Study of Corneal Consumption and Corneal Biomechanics After SMILE and FS-LASIK Performed on the Contralateral Eyes With High Myopic Astigmatism. Translational Vision Science & Technology. 13(11). 29–29. 2 indexed citations

Chen, Xi, Xiao Wang, Qian Luo, et al.. (2023). M1 Microglia-derived Exosomes Promote Activation of Resting Microglia and Amplifies Proangiogenic Effects through Irf1/miR-155-5p/Socs1 Axis in the Retina. International Journal of Biological Sciences. 19(6). 1791–1812. 35 indexed citations

Yin, Zhouping, et al.. (2023). Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection. Journal of Computational and Applied Mathematics. 428. 115192–115192. 3 indexed citations

Jiang, Rong, Siu Kai Choy, & Keming Yu. (2023). Non‐crossing quantile double‐autoregression for the analysis of streaming time series data. Journal of Time Series Analysis. 45(4). 513–532. 2 indexed citations

Vinciguerra, Riccardo, Renato Ambrósio, Yan Wang, et al.. (2023). Detection of Keratoconus With a New Corvis Biomechanical Index Optimized for Chinese Populations. American Journal of Ophthalmology. 252. 182–187. 13 indexed citations

Yu, Keming, et al.. (2023). Bayesian log-linear beta-negative binomial integer-valued Garch model. Computational Statistics. 39(3). 1183–1202.

Shen, Jie, et al.. (2023). A dynamic gesture recognition method based on R(2+1)D-transformer network. 57–57. 1 indexed citations

Akgül, Fatma Gül, Keming Yu, & Birdal Şenoğlu. (2020). Estimation of the system reliability for generalized inverse Lindley distribution based on different sampling designs. Communication in Statistics- Theory and Methods. 50(7). 1532–1546. 7 indexed citations

10.

Jiang, Rong, et al.. (2018). Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples. Journal of Inequalities and Applications. 2018(1). 196–196. 3 indexed citations

11.

Yu, Keming, et al.. (2017). A novel Bayesian regression model for counts with an application to health data. Brunel University Research Archive (BURA) (Brunel University London). 7 indexed citations

12.

Rubio, Francisco J. & Keming Yu. (2016). Flexible objective Bayesian linear regression with applications in survival analysis. Figshare. 3 indexed citations

13.

Yu, Keming, et al.. (2016). Challenges in the application of DCVG‐survey to predict coating defect size on pipelines. Materials and Corrosion. 68(3). 329–337. 7 indexed citations

14.

Yu, Keming. (2011). Test for Bayesian nonlinear cointegration in nonparametric ACE transformed model. Guanli kexue xuebao. 1 indexed citations

15.

Alhamzawi, Rahim & Keming Yu. (2011). Variable selection in quantile regression via Gibbs sampling. Journal of Applied Statistics. 39(4). 799–813. 43 indexed citations

16.

Yu, Keming, Lin Hou, Junquan Zhu, Ying Xue-ping, & Wan‐Xi Yang. (2009). KIFC1 participates in acrosomal biogenesis, with discussion of its importance for the perforatorium in the Chinese mitten crab Eriocheir sinensis. Cell and Tissue Research. 337(1). 113–123. 55 indexed citations

17.

Vinciotti, Veronica & Keming Yu. (2009). M-quantile Regression Analysis of Temporal Gene Expression Data. Statistical Applications in Genetics and Molecular Biology. 8(1). Article 41–Article 41. 5 indexed citations

18.

Hand, David B. & Keming Yu. (2009). Justifying adverse actions with new scorecard technologies. Journal of financial transformation. 26. 13–17. 1 indexed citations

19.

Marston, Louise, Janet L. Peacock, Keming Yu, et al.. (2009). Comparing methods of analysing datasets with small clusters: case studies using four paediatric datasets. Paediatric and Perinatal Epidemiology. 23(4). 380–392. 23 indexed citations

20.

Li, Feng, et al.. (2008). Bayesian Heavy-tailed Stochastic Volatility Model in Finance Analysis Based on MCMC Simulation. Jisuanji fangzhen. 20(9). 2479–2482.

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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