Ming−Yen Cheng

44 papers and 891 indexed citations i.

About

Ming−Yen Cheng is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ming−Yen Cheng has authored 44 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Ming−Yen Cheng’s work include Statistical Methods and Inference (30 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Ming−Yen Cheng is often cited by papers focused on Statistical Methods and Inference (30 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Ming−Yen Cheng collaborates with scholars based in Taiwan, United States and Hong Kong. Ming−Yen Cheng's co-authors include Jianqing Fan, J. S. Marron, Peter Hall, Hau‐Tieng Wu, Yu‐Chun Chen, Toshio Honda, Liang Peng, Jialiang Li, Théo Gasser and Wenyang Zhang and has published in prestigious journals such as Journal of the American Statistical Association, Biophysical Journal and Journal of Econometrics.

In The Last Decade

Co-authorship network of co-authors of Ming−Yen Cheng i

Fields of papers citing papers by Ming−Yen Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming−Yen Cheng. 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 Ming−Yen Cheng. The network helps show where Ming−Yen Cheng may publish in the future.

Countries citing papers authored by Ming−Yen Cheng

Since Specialization
Citations

This map shows the geographic impact of Ming−Yen Cheng'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 Ming−Yen Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming−Yen Cheng 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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2025