Min-Yuh Day

45 papers and 343 indexed citations i.

About

Min-Yuh Day is a scholar working on Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Min-Yuh Day has authored 45 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Finance, 23 papers in Economics and Econometrics and 20 papers in Management Science and Operations Research. Recurrent topics in Min-Yuh Day’s work include Financial Markets and Investment Strategies (24 papers), Stock Market Forecasting Methods (19 papers) and Complex Systems and Time Series Analysis (15 papers). Min-Yuh Day is often cited by papers focused on Financial Markets and Investment Strategies (24 papers), Stock Market Forecasting Methods (19 papers) and Complex Systems and Time Series Analysis (15 papers). Min-Yuh Day collaborates with scholars based in Taiwan and China. Min-Yuh Day's co-authors include Yensen Ni, Chorng‐Shyong Ong, Wen−Lian Hsu, Richard Tzong‐Han Tsai, Shin‐Ming Cheng, Shih-Hung Wu, Chih‐Chien Wang, Wen‐Lian Hsu, Cheng‐Wei Lee and Chunlian Wu and has published in prestigious journals such as PLoS ONE, Energy and Energy Economics.

In The Last Decade

Co-authorship network of co-authors of Min-Yuh Day i

Fields of papers citing papers by Min-Yuh Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Yuh Day. 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 Min-Yuh Day. The network helps show where Min-Yuh Day may publish in the future.

Countries citing papers authored by Min-Yuh Day

Since Specialization
Citations

This map shows the geographic impact of Min-Yuh Day'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 Min-Yuh Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Yuh Day 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