Kehui Chen

1.2k total citations
34 papers, 756 citations indexed

About

Kehui Chen is a scholar working on Statistics and Probability, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Kehui Chen has authored 34 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 8 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Kehui Chen's work include Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (5 papers) and Neural dynamics and brain function (4 papers). Kehui Chen is often cited by papers focused on Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (5 papers) and Neural dynamics and brain function (4 papers). Kehui Chen collaborates with scholars based in United States, China and Japan. Kehui Chen's co-authors include Jing Lei, Hans‐Georg Müller, David A. Lewis, Takeaki Miyamae, Guillermo González‐Burgos, Brian K. Lynch, Pedro Delicado, Oliver Lindhiem, Yu Cheng and Olga V. Berkout and has published in prestigious journals such as Journal of Neuroscience, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Kehui Chen

34 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kehui Chen United States 16 177 175 138 126 125 34 756
Le Song China 11 30 0.2× 275 1.6× 76 0.6× 133 1.1× 113 0.9× 37 739
Andrey A. Shabalin United States 24 76 0.4× 66 0.4× 57 0.4× 64 0.5× 1.7k 13.2× 61 2.7k
József Bukszár United States 14 42 0.2× 128 0.7× 108 0.8× 28 0.2× 366 2.9× 25 1.1k
Dominik Endres Germany 15 51 0.3× 292 1.7× 55 0.4× 316 2.5× 122 1.0× 56 1.2k
Xi Luo United States 18 397 2.2× 903 5.2× 298 2.2× 199 1.6× 203 1.6× 30 1.9k
Ann B. Lee United States 12 72 0.4× 588 3.4× 30 0.2× 87 0.7× 337 2.7× 27 1.2k
Elias Chaibub Neto United States 15 30 0.2× 338 1.9× 48 0.3× 117 0.9× 648 5.2× 33 1.9k
Katrijn Van Deun Netherlands 15 133 0.8× 49 0.3× 8 0.1× 69 0.5× 389 3.1× 58 1.1k

Countries citing papers authored by Kehui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kehui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kehui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kehui Chen. A scholar is included among the top collaborators of Kehui 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 Kehui Chen. Kehui Chen 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.
Thoma, Brian C., Dara Sakolsky, Jamie Zelazny, et al.. (2023). Risk for Suicidal Behavior After Psychiatric Hospitalization Among Sexual and Gender Minority Patients. JAMA Network Open. 6(9). e2333060–e2333060. 5 indexed citations
2.
Xue, Wei, Kehui Chen, Ting Li, Li Liu, & Jian Zhang. (2023). Efficient Underground Target Detection of Urban Roads in Ground-Penetrating Radar Images Based on Neural Networks. Remote Sensing. 15(5). 1346–1346. 5 indexed citations
3.
Kimoto, Sohei, Takanori Hashimoto, John F. Enwright, et al.. (2022). Expression of actin- and oxidative phosphorylation-related transcripts across the cortical visuospatial working memory network in unaffected comparison and schizophrenia subjects. Neuropsychopharmacology. 47(12). 2061–2070. 6 indexed citations
4.
Xue, Wei, et al.. (2021). Radar Vital Signs Detection Method Based on Variational Mode Decomposition and Wavelet Transform. 2021 China Automation Congress (CAC). 7469–7474. 6 indexed citations
5.
Rengasamy, Manivel, Yongqi Zhong, Anna L. Marsland, et al.. (2020). Signaling networks in inflammatory pathways and risk for suicidal behavior. Brain Behavior & Immunity - Health. 7. 100122–100122. 12 indexed citations
6.
Zhang, Anru R. & Kehui Chen. (2020). Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health. Statistica Sinica. 1 indexed citations
7.
Glausier, Jill R., et al.. (2019). Proxy measures of premortem cognitive aptitude in postmortem subjects with schizophrenia. Psychological Medicine. 50(3). 507–514. 20 indexed citations
8.
Zhu, Hongtu, et al.. (2018). FMEM: Functional Mixed Effects Models for Longitudinal Functional Responses. Statistica Sinica. 29(4). 2007–2033. 16 indexed citations
9.
Miyamae, Takeaki, Kehui Chen, David A. Lewis, & Guillermo González‐Burgos. (2017). Distinct Physiological Maturation of Parvalbumin-Positive Neuron Subtypes in Mouse Prefrontal Cortex. Journal of Neuroscience. 37(19). 4883–4902. 94 indexed citations
10.
Bhatia, Triptish, Joel Wood, Satish Iyengar, et al.. (2017). Emotion discrimination in humans: Its association with HSV-1 infection and its improvement with antiviral treatment. Schizophrenia Research. 193. 161–167. 11 indexed citations
11.
Hoftman, Gil D., Samuel J. Dienel, H. Holly Bazmi, et al.. (2017). Altered Gradients of Glutamate and Gamma-Aminobutyric Acid Transcripts in the Cortical Visuospatial Working Memory Network in Schizophrenia. Biological Psychiatry. 83(8). 670–679. 46 indexed citations
12.
Chen, Kehui & Jing Lei. (2016). Network Cross-Validation for Determining the Number of Communities in Network Data. Journal of the American Statistical Association. 113(521). 241–251. 88 indexed citations
13.
Chen, Kehui, Yu Cheng, Olga V. Berkout, & Oliver Lindhiem. (2016). Analyzing Proportion Scores as Outcomes for Prevention Trials: a Statistical Primer. Prevention Science. 18(3). 312–321. 45 indexed citations
14.
Mansour, Hader, Kehui Chen, Joel Wood, et al.. (2015). Practice effects distort translational validity estimates for a Neurocognitive Battery. Journal of Clinical and Experimental Neuropsychology. 37(5). 530–537. 9 indexed citations
15.
Chen, Kehui & Jing Lei. (2015). Localized Functional Principal Component Analysis. Journal of the American Statistical Association. 110(511). 1266–1275. 39 indexed citations
16.
Chen, Kehui, Xiaoke Zhang, Alexander Petersen, & Hans‐Georg Müller. (2015). Quantifying Infinite-Dimensional Data: Functional Data Analysis in Action. Statistics in Biosciences. 9(2). 582–604. 32 indexed citations
17.
Chen, Kehui, et al.. (2013). Effects of diet and host access on fecundity and lifespan in two fruit fly species with different life‐history patterns. Physiological Entomology. 38(1). 81–88. 22 indexed citations
18.
Chen, Kehui, et al.. (2012). Conditional quantile analysis when covariates are functions, with application to growth data. Journal of the Royal Statistical Society Series A (Statistics in Society). 17 indexed citations
19.
Chen, Kehui & Hans‐Georg Müller. (2012). Modeling Repeated Functional Observations. Journal of the American Statistical Association. 107(500). 1599–1609. 63 indexed citations
20.
Chen, Kun, Kehui Chen, Hans‐Georg Müller, & Jane-Ling Wang. (2011). Stringing High-Dimensional Data for Functional Analysis. Journal of the American Statistical Association. 106(493). 275–284. 25 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Le Song Breakdown of academic impact, for papers by Andrey A. Shabalin Breakdown of academic impact, for papers by József Bukszár Breakdown of academic impact, for papers by Dominik Endres Breakdown of academic impact, for papers by Xi Luo Breakdown of academic impact, for papers by Ann B. Lee Breakdown of academic impact, for papers by Elias Chaibub Neto Breakdown of academic impact, for papers by Katrijn Van Deun
Rankless by CCL
2026