Pi‐Erh Lin

32 total papers · 762 total citations
25 papers, 482 citations indexed

About

Pi‐Erh Lin is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Pi‐Erh Lin has authored 25 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 7 papers in Applied Mathematics. Recurrent topics in Pi‐Erh Lin’s work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (10 papers) and Bayesian Methods and Mixture Models (7 papers). Pi‐Erh Lin is often cited by papers focused on Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (10 papers) and Bayesian Methods and Mixture Models (7 papers). Pi‐Erh Lin collaborates with scholars based in United States and Canada. Pi‐Erh Lin's co-authors include Ibrahim A. Ahmad, Kuang‐Fu Cheng, Gordon Pledger and Myles Hollander and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Biometrika.

Co-authorship network of co-authors of Pi‐Erh Lin

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

Pi‐Erh Lin

23 papers receiving 432 citations

Fields of papers citing papers by Pi‐Erh Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pi‐Erh Lin. 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 Pi‐Erh Lin. The network helps show where Pi‐Erh Lin may publish in the future.

Countries citing papers authored by Pi‐Erh Lin

Since Specialization
Citations

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

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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