Alan Huang

797 citations
16 papers · 521 indexed · h-index 8
Topics
Statistical Methods and Bayesian Inference (9 papers)Statistical Methods and Inference (5 papers)Statistical Distribution Estimation and Applications (4 papers)

In The Last Decade

Alan Huang

16 papers receiving 511 citations

Peers

Alan Huang
Comparison fields: 5 of 122
  • Molecular Biology 178
  • Statistics and Probability 149
  • Ecology 73
  • Artificial Intelligence 68
  • Genetics 54
Replace María-Eglée Pérez with:
María-Eglée Pérez Puerto Rico
Jean‐Baptiste Denis France
Arthur White Ireland
Carles Bretó Spain
M. H. M. Rashid Jordan
Ori Davidov Israel
Edward B. Baskerville United States
Ankush Agarwal United Kingdom
Siyu Zhou China
Jaehee Kim South Korea
Alan Huang relative to María-Eglée Pérez Puerto Rico María-Eglée Pérez's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Alan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Huang

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 17
3 2
4 2
5 6
6
Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression [R package mpcmp version 0.3.6]
1
7
mpcmp: Mean-parametrized Conway-Maxwell Poisson Regression
4
8 9
9 76
10 7
11 217
12 1
13 147
14 8
15 21
16 1

About Alan Huang

Alan Huang is a scholar working on Statistics and Probability, Human-Computer Interaction and Condensed Matter Physics, having authored 16 papers that have together received 521 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (5 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (149 citations), Endocrinology (32 citations) and Microbiology (38 citations). Alan Huang has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include M. P. Wand, Michelle L. Gee, Leigh G. Monahan, Jing Lu, Sarah R. Osvath, Pascal Vallotton, Erin S. Gloag, Lynne Turnbull, Ranganathan Prabhakar and Cynthia B. Whitchurch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and The Science of The Total Environment.

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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