Grace Y. Yi

1.1k total citations
55 papers, 614 citations indexed

About

Grace Y. Yi is a scholar working on Statistics and Probability, Artificial Intelligence and Modeling and Simulation. According to data from OpenAlex, Grace Y. Yi has authored 55 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 8 papers in Modeling and Simulation. Recurrent topics in Grace Y. Yi's work include Statistical Methods and Bayesian Inference (33 papers), Statistical Methods and Inference (32 papers) and Bayesian Methods and Mixture Models (10 papers). Grace Y. Yi is often cited by papers focused on Statistical Methods and Bayesian Inference (33 papers), Statistical Methods and Inference (32 papers) and Bayesian Methods and Mixture Models (10 papers). Grace Y. Yi collaborates with scholars based in Canada, United States and China. Grace Y. Yi's co-authors include Wenqing He, Yayuan Zhu, Li‐Pang Chen, Yangxin Huang, Wei Liu, Lang Wu, Bruce G. Lindsay, Jianping Sun, Nancy Reid and D. A. S. Fraser and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Grace Y. Yi

48 papers receiving 593 citations

Peers

Grace Y. Yi
Comparison fields: 5 of 109
  • Statistics and Probability 303
  • Modeling and Simulation 124
  • Artificial Intelligence 98
  • Infectious Diseases 92
  • Economics and Econometrics 79
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Lang Wu Canada
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Chong You China
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Axel Gandy United Kingdom View profile →
Citations per field, relative to Grace Y. Yi
Grace Y. Yi · 1×
Citations per year, relative to Grace Y. Yi
Grace Y. Yi · 1×

Countries citing papers authored by Grace Y. Yi

Since Specialization
Citations

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

Fields of papers citing papers by Grace Y. Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace Y. Yi. 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 Grace Y. Yi. The network helps show where Grace Y. Yi may publish in the future.

Co-authorship network of co-authors of Grace Y. Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Grace Y. Yi. A scholar is included among the top collaborators of Grace Y. Yi 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 Grace Y. Yi. Grace Y. Yi 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 1
2 6
3 0
4 1
5 3
6 6
7 0
8 2
9 3
10 2
11 3
12 0
13 26
14 4
15 0
16 3
17 8
18 1
19 0
20
A Pairwise Likelihood Method For Correlated Binary Data With/withoutMissing Observations Under Generalized Partially Linear Single-indexModels
15

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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