Wai‐Yuan Tan

645 citations
28 papers · 358 indexed · h-index 12
Topics
Bayesian Methods and Mixture Models (7 papers)Census and Population Estimation (5 papers)Mathematical and Theoretical Epidemiology and Ecology Models (4 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Wai‐Yuan Tan

27 papers receiving 335 citations

Peers

Wai‐Yuan Tan
Comparison fields: 5 of 88
  • Public Health, Environmental and Occupational Health 140
  • Virology 105
  • Modeling and Simulation 82
  • Statistics and Probability 67
  • Infectious Diseases 64
Replace Marco Antônio Leonel Caetano with:
Marco Antônio Leonel Caetano Brazil
Shirley Jankelevich United States
William B. Capra United States
Erin E. Gabriel Sweden
Carla Rossi Italy
Xiao Zang United States
Ivan E. Auger United States
Peng Wu China
Martín López‐García United Kingdom
Ellina Grigorieva Russia
Wai‐Yuan Tan relative to Marco Antônio Leonel Caetano Brazil Marco Antônio Leonel Caetano's profile →
Citations per field
00.5×8.4×
Marco Antônio Leonel Caetano · 1×
Citations per year

Countries citing papers authored by Wai‐Yuan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Wai‐Yuan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai‐Yuan Tan. 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 Wai‐Yuan Tan. The network helps show where Wai‐Yuan Tan may publish in the future.

Co-authorship network of co-authors of Wai‐Yuan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Wai‐Yuan Tan. A scholar is included among the top collaborators of Wai‐Yuan Tan 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 Wai‐Yuan Tan. Wai‐Yuan Tan 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 0
2 1
3 22
4 2
5 31
6 6
7 1
8 30
9 3
10 15
11 19
12 63
13 13
14 5
15 4
16 11
17 10
18 22
19 28
20 3

About Wai‐Yuan Tan

Wai‐Yuan Tan is a scholar working on Modeling and Simulation, Statistics and Probability and Virology, having authored 28 papers that have together received 358 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Census and Population Estimation (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). The work is most often cited by research in Virology (105 citations), Modeling and Simulation (82 citations) and Statistics and Probability (67 citations). Wai‐Yuan Tan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hulin Wu, Robert H. Byers, Leonid Hanin, David P. Byar, Agnes M. Herzberg, Rong Yu, Ravi M. Mathew, Dragana A. Andjelkovich, Richard J. Levine and Si Tang. Their work appears in journals such as Environmental Health Perspectives, Statistics in Medicine and SIAM Journal on Applied Mathematics.

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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