Anthony Y. C. Kuk

2.3k citations
64 papers · 1.6k indexed · h-index 22
Topics
Statistical Methods and Bayesian Inference (35 papers)Statistical Methods and Inference (20 papers)Bayesian Methods and Mixture Models (15 papers)

In The Last Decade

Anthony Y. C. Kuk

61 papers receiving 1.5k citations

Peers

Anthony Y. C. Kuk
Comparison fields: 5 of 136
  • Statistics and Probability 1.2k
  • Artificial Intelligence 467
  • Economics and Econometrics 155
  • Management Science and Operations Research 137
  • Genetics 118
Replace Jacobo de Uña‐Álvarez with:
Jacobo de Uña‐Álvarez Spain
Lan Wang United States
Xavier Bry France
Wing K. Fung Hong Kong
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Helena Geys Belgium
Yong Zhou China
David B. Wolfson Canada
Eric Slud United States
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Anthony Y. C. Kuk relative to Jacobo de Uña‐Álvarez Spain Jacobo de Uña‐Álvarez's profile →
Citations per field
00.5×1.6×
Jacobo de Uña‐Álvarez · 1×
Citations per year

Countries citing papers authored by Anthony Y. C. Kuk

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Y. C. Kuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony Y. C. Kuk. 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 Anthony Y. C. Kuk. The network helps show where Anthony Y. C. Kuk may publish in the future.

Co-authorship network of co-authors of Anthony Y. C. Kuk

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Y. C. Kuk. A scholar is included among the top collaborators of Anthony Y. C. Kuk 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 Anthony Y. C. Kuk. Anthony Y. C. Kuk 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
#WorkIndexed citations
1 16
2 37
3 1
4 25
5 5
6 24
7 7
8 7
9 25
10 6
11 22
12 14
13 4
14 32
15 97
16 37
17 10
18 0
19
All Subsets Regression in Cox Model.
0
20
A Mixing Distribution Approach to Estimating Particle Size Distributions.
1

About Anthony Y. C. Kuk

Anthony Y. C. Kuk is a scholar working on Statistics and Probability, Modeling and Simulation and Artificial Intelligence, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (35 papers), Statistical Methods and Inference (20 papers) and Bayesian Methods and Mixture Models (15 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Artificial Intelligence (467 citations) and Management Science and Operations Research (137 citations). Anthony Y. C. Kuk has collaborated with scholars based in Singapore, Australia and Hong Kong. Frequent co-authors include Chen‐Hsin Chen, Tak K. Mak, Jennifer Chan, Yuk W. Cheng, David J. Nott, Kelvin K.W. Yau, A. John Rush, Jialiang Li, Kwok Fai Lam and James Bell. Their work appears in journals such as Journal of the American Statistical Association, Bioinformatics and Biometrics.

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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