Huaihou Chen

1.4k total citations
35 papers, 994 citations indexed

About

Huaihou Chen is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Huaihou Chen has authored 35 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Huaihou Chen's work include Statistical Methods and Inference (15 papers), Statistical Methods and Bayesian Inference (8 papers) and Bayesian Methods and Mixture Models (7 papers). Huaihou Chen is often cited by papers focused on Statistical Methods and Inference (15 papers), Statistical Methods and Bayesian Inference (8 papers) and Bayesian Methods and Mixture Models (7 papers). Huaihou Chen collaborates with scholars based in United States, China and Canada. Huaihou Chen's co-authors include Yuanjia Wang, Ronald A. Cohen, Eric C. Porges, Adam J. Woods, Talia R. Seider, Cheryl M. Corcoran, Joshua T. Kantrowitz, Barbara A. Cornblatt, Scott W. Woods and Gail Silipo and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and Neurology.

In The Last Decade

Huaihou Chen

33 papers receiving 981 citations

Peers

Huaihou Chen

PMH

PHYSI

Irina Degtiar United States

Rainer Schaub Germany

Matthew L. Cohen United States

Jacques Demotes‐Mainard France

Allitia DiBernardo United States

Jayson L. Parker Canada

Marco Carrozzi Italy

József Bukszár United States

Yinzhong Chen China

David J. DeBrota United States

Irina Degtiar United States

Huaihou Chen

328 ×2.0

PMH

98 ×0.7

103 ×0.7

70 ×0.6

45 ×0.4

PHYSI

Citations per year, relative to Huaihou Chen Huaihou Chen (= 1×) peers Irina Degtiar

Countries citing papers authored by Huaihou Chen

Since Specialization

Citations

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

Fields of papers citing papers by Huaihou Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaihou Chen

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

All Works

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20 of 20 papers shown

Li, Zhigang, H. Robert Frost, Tor D. Tosteson, et al.. (2017). A semiparametric joint model for terminal trend of quality of life and survival in palliative care research. Statistics in Medicine. 36(29). 4692–4704. 10 indexed citations

Reiss, Philip T., et al.. (2017). Pointwise Influence Matrices for Functional-Response Regression. Biometrics. 73(4). 1092–1101. 4 indexed citations

Lyon, Debra, Ronald A. Cohen, Huaihou Chen, et al.. (2016). The relationship of cognitive performance to concurrent symptoms, cancer- and cancer-treatment-related variables in women with early-stage breast cancer: a 2-year longitudinal study. Journal of Cancer Research and Clinical Oncology. 142(7). 1461–1474. 26 indexed citations

Chen, Huaihou, Bingxin Zhao, Guanqun Cao, et al.. (2016). Statistical Approaches for the Study of Cognitive and Brain Aging. Frontiers in Aging Neuroscience. 8. 176–176. 11 indexed citations

Lyon, Debra, Ronald A. Cohen, Huaihou Chen, et al.. (2016). Relationship of systemic cytokine concentrations to cognitive function over two years in women with early stage breast cancer. Journal of Neuroimmunology. 301. 74–82. 79 indexed citations

Ebner, Natalie C., Huaihou Chen, Eric C. Porges, et al.. (2016). Oxytocin’s effect on resting-state functional connectivity varies by age and sex. Psychoneuroendocrinology. 69. 50–59. 64 indexed citations

Porges, Eric C., Adam J. Woods, Richard A.E. Edden, et al.. (2016). Frontal Gamma-Aminobutyric Acid Concentrations Are Associated With Cognitive Performance in Older Adults. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 2(1). 38–44. 145 indexed citations

Seider, Talia R., Assawin Gongvatana, Adam J. Woods, et al.. (2015). Age exacerbates HIV-associated white matter abnormalities. Journal of NeuroVirology. 22(2). 201–212. 57 indexed citations

Kantrowitz, Joshua T., Scott W. Woods, Eva Petkova, et al.. (2015). D-serine for the treatment of negative symptoms in individuals at clinical high risk of schizophrenia: a pilot, double-blind, placebo-controlled, randomised parallel group mechanistic proof-of-concept trial. The Lancet Psychiatry. 2(5). 403–412. 117 indexed citations

10.

Chen, Huaihou, Clare Kelly, F. Xavier Castellanos, et al.. (2015). Quantile rank maps: A new tool for understanding individual brain development. NeuroImage. 111. 454–463. 10 indexed citations

11.

Chen, Tianle, Yuanjia Wang, Huaihou Chen, Karen Marder, & Donglin Zeng. (2014). Targeted Local Support Vector Machine for Age-Dependent Classification. Journal of the American Statistical Association. 109(507). 1174–1187. 4 indexed citations

12.

Chen, Huaihou, Yuanjia Wang, Myunghee Cho Paik, & H. Alex Choi. (2013). A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data. Journal of the American Statistical Association. 108(504). 1216–1229. 13 indexed citations

13.

Wang, Yuanjia, Huaihou Chen, Donglin Zeng, et al.. (2013). Auxiliary Marker-Assisted Classification in the Absence of Class Identifiers. Journal of the American Statistical Association. 108(502). 553–565. 6 indexed citations

14.

Chen, Huaihou, et al.. (2013). A note on a nonparametric regression test through penalized splines. Statistica Sinica. 24. 1143–1160. 1 indexed citations

15.

Wang, Yuanjia & Huaihou Chen. (2012). On Testing an Unspecified Function Through a Linear Mixed Effects Model with Multiple Variance Components. Biometrics. 68(4). 1113–1125. 13 indexed citations

16.

Chen, Huaihou, Myunghee Cho Paik, Mandip S. Dhamoon, et al.. (2012). Semiparametric model for the dichotomized functional outcome after stroke: The Northern Manhattan Study. Computational Statistics & Data Analysis. 56(8). 2598–2608. 1 indexed citations

17.

Wang, Yuanjia, Huaihou Chen, Theresa Schwartz, et al.. (2011). Assessment of a disease screener by hierarchical all‐subset selection using area under the receiver operating characteristic curves. Statistics in Medicine. 30(14). 1751–1760.

18.

Steinglass, Joanna, Robyn Sysko, Laurel Mayer, et al.. (2010). Pre-meal anxiety and food intake in anorexia nervosa. Appetite. 55(2). 214–218. 119 indexed citations

19.

Wang, Yuanjia, Huaihou Chen, Runze Li, Naihua Duan, & Roberto Lewis‐Fernández. (2010). Prediction-Based Structured Variable Selection through the Receiver Operating Characteristic Curves. Biometrics. 67(3). 896–905. 13 indexed citations

20.

Chen, Huaihou & Yuanjia Wang. (2010). A Penalized Spline Approach to Functional Mixed Effects Model Analysis. Biometrics. 67(3). 861–870. 52 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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