Naisyin Wang

3.0k total citations
63 papers, 2.2k citations indexed

About

Naisyin Wang is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Naisyin Wang has authored 63 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 15 papers in Molecular Biology and 14 papers in Artificial Intelligence. Recurrent topics in Naisyin Wang's work include Statistical Methods and Bayesian Inference (22 papers), Statistical Methods and Inference (22 papers) and Bayesian Methods and Mixture Models (11 papers). Naisyin Wang is often cited by papers focused on Statistical Methods and Bayesian Inference (22 papers), Statistical Methods and Inference (22 papers) and Bayesian Methods and Mixture Models (11 papers). Naisyin Wang collaborates with scholars based in United States, China and United Kingdom. Naisyin Wang's co-authors include Raymond J. Carroll, Robert S. Chapkin, Joanne R. Lupton, Xihong Lin, Laurie A. Davidson, Yehua Li, Danh V. Nguyen, Nancy D. Turner, Ian A. Prior and David N. McMurray and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Cancer Research.

In The Last Decade

Naisyin Wang

63 papers receiving 2.1k citations

Peers

Naisyin Wang
Comparison fields: 5 of 160
  • Statistics and Probability 644
  • Molecular Biology 641
  • Nutrition and Dietetics 417
  • Cancer Research 309
  • Artificial Intelligence 240
Replace Russell A. Wilke with:
Russell A. Wilke United States
Khursheed Alam India
Olle Nerman Sweden
Sabina Bijlsma Netherlands
Hisham K. Hamadeh United States
Lan Zhou United States
Habtom W. Ressom United States
Rui‐Sheng Wang United States
Lee H. Dicker United States
Russell A. Wilke United States View profile →
Citations per field, relative to Naisyin Wang
Naisyin Wang · 1×
Citations per year, relative to Naisyin Wang
Naisyin Wang · 1×

Countries citing papers authored by Naisyin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Naisyin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naisyin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Naisyin Wang. A scholar is included among the top collaborators of Naisyin Wang 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 Naisyin Wang. Naisyin Wang 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
# Work Indexed citations
1 7
2 3
3 42
4 16
5 116
6 17
7 134
8 20
9
A ROBUST SEQUENTIAL BAYESIAN METHOD FOR IDENTIFICATION OF DIFFERENTIALLY EXPRESSED GENES
12
10 39
11 112
12
Partially linear single-index measurement error models
52
13 83
14 75
15 1
16
A Bayesian Analysis Involving Colonic Crypt Structure and Coordinated Response to Carcinogens Incorporating Missing Crypts
1
17 2
18 4
19 99
20 16

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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