Yen‐Chi Chen

59 papers receiving 1.5k citations

Yen‐Chi Chen's Hit Papers

A tutorial on kernel density estimation and recent advances 2017 · 437 citations
4370+3+6Years since publication100200300400

Peers

Yen‐Chi Chen
Comparison fields: 5 of 179
  • Instrumentation 89
  • Statistics and Probability 142
  • Astronomy and Astrophysics 177
  • Psychiatry and Mental health 135
  • Neurology 61
Replace Gilles Louppe with:
Gilles Louppe Belgium
Michael Eickenberg United States
Jimin Liang China
Stéphane Girard France
Osvaldo A. Martin Argentina
Keith Bush United States
Andreas Mueller Austria
Christopher Yau United Kingdom
K. Jarrod Millman United States
Wolfgang Petrich Germany
Yen‐Chi Chen relative to Gilles Louppe Belgium Gilles Louppe's profile →
Citations per field
00.5×7.6×
Gilles Louppe · 1×
Citations per year

Countries citing papers authored by Yen‐Chi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Chi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yen‐Chi Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yen‐Chi Chen Line = papers co-authored together Yen‐Chi Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A tutorial on kernel density estimation and recent advances
Hit paper breakdown →
2017437
2 2011101
3 201672
4 201764
5 201856
6 201946
7 201546
8 201943
9 201639
10 201136
11 201932
12 201531
13 201631
14 202030
15 201929
16 202229
17 202227
18 201625
19 201125
20 201721

About Yen‐Chi Chen

Yen‐Chi Chen is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Psychiatry and Mental health and Astronomy and Astrophysics, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Dementia and Cognitive Impairment Research (10 papers), Bayesian Methods and Mixture Models (9 papers), Galaxies: Formation, Evolution, Phenomena (8 papers), Alzheimer's disease research and treatments (6 papers), Astronomy and Astrophysical Research (5 papers), Topological and Geometric Data Analysis (4 papers) and Ear Surgery and Otitis Media (3 papers). The work is most often cited by research in Instrumentation (89 citations), Statistics and Probability (142 citations), Astronomy and Astrophysics (177 citations), Psychiatry and Mental health (135 citations) and Neurology (61 citations). Yen‐Chi Chen has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Christopher R. Genovese, Larry Wasserman, Teng‐Ming Chen, Chien-Hao Huang, Peter E. Freeman, Li–Yun Chang, Charles A. Perfetti, Kathryn Gauthreaux, Charles Mock and Walter A. Kukull. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Journal of the American Statistical Association, Electronic Journal of Statistics, Journal of Neuropathology & Experimental Neurology and The Annals of Statistics.

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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