Keying Ye

1.9k total citations
68 papers, 1.2k citations indexed

About

Keying Ye is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Keying Ye has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 16 papers in Management Science and Operations Research and 12 papers in Artificial Intelligence. Recurrent topics in Keying Ye's work include Statistical Methods and Bayesian Inference (19 papers), Optimal Experimental Design Methods (14 papers) and Advanced Statistical Methods and Models (12 papers). Keying Ye is often cited by papers focused on Statistical Methods and Bayesian Inference (19 papers), Optimal Experimental Design Methods (14 papers) and Advanced Statistical Methods and Models (12 papers). Keying Ye collaborates with scholars based in United States, China and Netherlands. Keying Ye's co-authors include Eric P. Smith, Mingjin Yan, Pedro Mendes, Wei Sha, Dongchu Sun, Li Xu, Zhenxin Zhan, Chenting Su, Shouhuai Xu and Edward F. Fern and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Keying Ye

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keying Ye United States 20 309 200 158 135 114 68 1.2k
Hans Riedwyl Switzerland 17 297 1.0× 136 0.7× 161 1.0× 59 0.4× 80 0.7× 52 1.4k
Eric Ziegel 10 135 0.4× 97 0.5× 91 0.6× 53 0.4× 44 0.4× 11 1.1k
Samuel Müller Australia 22 355 1.1× 258 1.3× 348 2.2× 77 0.6× 66 0.6× 103 2.1k
Prem K. Goel United States 22 559 1.8× 113 0.6× 316 2.0× 189 1.4× 166 1.5× 78 2.0k
Yi Lu China 26 149 0.5× 408 2.0× 177 1.1× 413 3.1× 110 1.0× 101 2.2k
Søren Feodor Nielsen Denmark 14 179 0.6× 83 0.4× 114 0.7× 42 0.3× 73 0.6× 35 798
Maurizio Vichi Italy 20 169 0.5× 433 2.2× 412 2.6× 61 0.5× 98 0.9× 85 1.5k
Stephan Morgenthaler Switzerland 22 501 1.6× 317 1.6× 110 0.7× 68 0.5× 45 0.4× 86 1.7k
Jerome Klotz United States 16 516 1.7× 73 0.4× 174 1.1× 125 0.9× 63 0.6× 56 1.2k
Nicola Torelli Italy 10 89 0.3× 94 0.5× 409 2.6× 61 0.5× 171 1.5× 35 1.2k

Countries citing papers authored by Keying Ye

Since Specialization
Citations

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

Fields of papers citing papers by Keying Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keying Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Keying Ye. A scholar is included among the top collaborators of Keying Ye 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 Keying Ye. Keying Ye 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
1.
2.
Chen, Wenyan, Lifang Liu, Feng Chen, et al.. (2025). Modular organization of enhancer network provides transcriptional robustness in mammalian development. Nucleic Acids Research. 53(2).
3.
Luo, Dan, et al.. (2025). Biological effects of cinnamaldehyde in animal cancer models: a systematic review and meta-analysis. Frontiers in Pharmacology. 16. 1557088–1557088.
4.
Ye, Keying, et al.. (2024). Bayesian adaptive lasso quantile regression with non-ignorable missing responses. Computational Statistics. 1 indexed citations
5.
Zhang, Qiang, et al.. (2023). On efficient posterior inference in normalized power prior Bayesian analysis. Biometrical Journal. 65(5). e2200194–e2200194. 2 indexed citations
6.
Ye, Keying, et al.. (2022). Probability-based approach for characterization of microarchitecture and its effect on elastic properties of trabecular bone. Journal of the mechanical behavior of biomedical materials. 131. 105254–105254. 4 indexed citations
7.
Ye, Keying, et al.. (2021). Normalized power prior Bayesian analysis. Journal of Statistical Planning and Inference. 216. 29–50. 9 indexed citations
8.
Ye, Keying, et al.. (2021). A system for determining maximum tolerated dose in clinical trial. SHILAP Revista de lepidopterología. 5(4). 288–302. 1 indexed citations
9.
Thanassoulis, George, Ken Williams, Keying Ye, et al.. (2014). Relations of Change in Plasma Levels of LDL‐C, Non‐HDL‐C and apoB With Risk Reduction From Statin Therapy: A Meta‐Analysis of Randomized Trials. Journal of the American Heart Association. 3(2). e000759–e000759. 94 indexed citations
10.
Lien, Donald, et al.. (2013). Alternative Approximations to Value-At-Risk: A Comparison. Communications in Statistics - Simulation and Computation. 43(10). 2225–2240. 6 indexed citations
11.
Ye, Keying, et al.. (2012). A phase I dose-finding study based on polychotomous toxicity responses. Statistics and Its Interface. 5(4). 451–461. 1 indexed citations
12.
Chen, Younan & Keying Ye. (2011). A Bayesian hierarchical approach to dual response surface modelling. Journal of Applied Statistics. 38(9). 1963–1975. 9 indexed citations
13.
Chen, Ming‐Hui, et al.. (2010). Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger. CERN Document Server (European Organization for Nuclear Research). 28 indexed citations
14.
Kang, Guolian, Keying Ye, Nianjun Liu, David B. Allison, & Guimin Gao. (2009). Weighted Multiple Hypothesis Testing Procedures. Statistical Applications in Genetics and Molecular Biology. 8(1). Article23–Article23. 17 indexed citations
15.
Hrubec, Terry C., Mingjin Yan, Keying Ye, Carolyn M. Salafia, & Steven D. Holladay. (2006). Valproic acid‐induced fetal malformations are reduced by maternal immune stimulation with granulocyte‐macrophage colony‐stimulating factor or interferon‐γ. The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology. 288A(12). 1303–1309. 20 indexed citations
16.
Bing, Nan, Ina Hoeschele, Keying Ye, & Kenneth J. Eilertsen. (2005). Finite mixture model analysis of microarray expression data on samples of uncertain biological type with application to reproductive efficiency. Veterinary Immunology and Immunopathology. 105(3-4). 187–196. 3 indexed citations
17.
Daum, Luke T., Keying Ye, James P. Chambers, et al.. (2004). Comparison of TaqMan™ and Epoch Dark Quenchers™ during real-time reverse transcription PCR. Molecular and Cellular Probes. 18(3). 207–209. 8 indexed citations
18.
Mendes, Pedro, Wei Sha, & Keying Ye. (2003). Artificial gene networks for objective comparison of analysis algorithms. Bioinformatics. 19(suppl_2). ii122–ii129. 140 indexed citations
19.
Renberg, Walter C., Spencer A. Johnston, Colin B. Carrig, et al.. (2000). Evaluation of a method for experimental induction of osteoarthritis of the hip joints in dogs. American Journal of Veterinary Research. 61(5). 484–491. 10 indexed citations
20.
Sun, Dongchu & Keying Ye. (1995). Reference Prior Bayesian Analysis for Normal Mean Products. Journal of the American Statistical Association. 90(430). 589–597. 27 indexed citations

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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