Scott Cheng‐Hsin Yang

30 papers and 445 indexed citations i.

About

Scott Cheng‐Hsin Yang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Scott Cheng‐Hsin Yang has authored 30 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 5 papers in Molecular Biology. Recurrent topics in Scott Cheng‐Hsin Yang’s work include Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (9 papers) and DNA Repair Mechanisms (5 papers). Scott Cheng‐Hsin Yang is often cited by papers focused on Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (9 papers) and DNA Repair Mechanisms (5 papers). Scott Cheng‐Hsin Yang collaborates with scholars based in United States, Canada and United Kingdom. Scott Cheng‐Hsin Yang's co-authors include John Bechhoefer, Nick Rhind, Máté Lengyel, Daniel M. Wolpert, Patrick Shafto, Mehryar Mohri, Tomas Folke, Yue Yu, Corinna Cortes and Kathleen H. Corriveau and has published in prestigious journals such as Physical Review Letters, Scientific Reports and eLife.

In The Last Decade

Co-authorship network of co-authors of Scott Cheng‐Hsin Yang i

Fields of papers citing papers by Scott Cheng‐Hsin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Cheng‐Hsin Yang. 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 Scott Cheng‐Hsin Yang. The network helps show where Scott Cheng‐Hsin Yang may publish in the future.

Countries citing papers authored by Scott Cheng‐Hsin Yang

Since Specialization
Citations

This map shows the geographic impact of Scott Cheng‐Hsin Yang'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 Scott Cheng‐Hsin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Cheng‐Hsin Yang 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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