Wheyming Tina Song

51 papers and 744 indexed citations i.

About

Wheyming Tina Song is a scholar working on Management Science and Operations Research, Statistics and Probability and Management Information Systems. According to data from OpenAlex, Wheyming Tina Song has authored 51 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Science and Operations Research, 18 papers in Statistics and Probability and 13 papers in Management Information Systems. Recurrent topics in Wheyming Tina Song’s work include Simulation Techniques and Applications (23 papers), Advanced Queuing Theory Analysis (13 papers) and Advanced Statistical Process Monitoring (10 papers). Wheyming Tina Song is often cited by papers focused on Simulation Techniques and Applications (23 papers), Advanced Queuing Theory Analysis (13 papers) and Advanced Statistical Process Monitoring (10 papers). Wheyming Tina Song collaborates with scholars based in Taiwan and United States. Wheyming Tina Song's co-authors include Bruce W. Schmeiser, David Goldsman, Barry L. Nelson, Julie Swann, Aaron E. Bair, Yi‐Chun Chen, Beth Morris, Mingchang Chih, Cheng‐Shang Chang and Chia‐Jung Chang and has published in prestigious journals such as Management Science, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Wheyming Tina Song i

Fields of papers citing papers by Wheyming Tina Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wheyming Tina Song. 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 Wheyming Tina Song. The network helps show where Wheyming Tina Song may publish in the future.

Countries citing papers authored by Wheyming Tina Song

Since Specialization
Citations

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