Kehui Chen

48 total papers · 1.2k total citations
34 papers, 746 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 746 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 Statistical Methods and Bayesian Inference (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 Statistical Methods and Bayesian Inference (4 papers). Kehui Chen collaborates with scholars based in United States, China and India. Kehui Chen's co-authors include Jing Lei, Hans‐Georg Müller, David A. Lewis, Guillermo González‐Burgos, Takeaki Miyamae, Brian K. Lynch, Pedro Delicado, Yu Cheng, Oliver Lindhiem 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 735 citations

Author Peers

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

Author						Papers	Cites
Kehui Chen	176	173	136	125	123	34	746
Lizhen Lin	162 0.9×	69 0.4×	21 0.2×	164 1.3×	82 0.7×	72	689
Daniel L. Sussman	80 0.5×	77 0.4×	180 1.3×	165 1.3×	392 3.2×	24	884
Pasi Jylänki	69 0.4×	369 2.1×	164 1.2×	196 1.6×	86 0.7×	21	826
Jan Klaschka	12 0.1×	102 0.6×	137 1.0×	55 0.4×	127 1.0×	49	723
Eduardo Serrano	84 0.5×	187 1.1×	54 0.4×	77 0.6×	67 0.5×	52	828
David Choi	65 0.4×	46 0.3×	19 0.1×	141 1.1×	225 1.8×	28	869
Le Song	30 0.2×	273 1.6×	75 0.6×	134 1.1×	113 0.9×	37	735
Satish Iyengar	19 0.1×	308 1.8×	188 1.4×	27 0.2×	95 0.8×	36	746
Gemma C. Garriga	25 0.1×	269 1.6×	22 0.2×	167 1.3×	115 0.9×	17	830
Deepmala Deepmala	172 1.0×	52 0.3×	70 0.5×	19 0.2×	73 0.6×	50	855

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

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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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