Mochen Yang

About

Mochen Yang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Mochen Yang has authored 21 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 7 papers in Sociology and Political Science. Recurrent topics in Mochen Yang’s work include Digital Marketing and Social Media (6 papers), Auction Theory and Applications (5 papers) and Consumer Market Behavior and Pricing (4 papers). Mochen Yang is often cited by papers focused on Digital Marketing and Social Media (6 papers), Auction Theory and Applications (5 papers) and Consumer Market Behavior and Pricing (4 papers). Mochen Yang collaborates with scholars based in United States, Taiwan and Canada. Mochen Yang's co-authors include Gediminas Adomavičius, Yuqing Ren, Gordon Burtch, Alok Gupta, Ming‐Hui Wen, Antino Kim, Jingjing Zhang, Tianshu Sun, Ju Sun and Hillol Bala and has published in prestigious journals such as Management Science, MIS Quarterly and Information Systems Research.

In The Last Decade

Co-authorship network of co-authors of Mochen Yang i

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Fields of papers citing papers by Mochen Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mochen 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 Mochen Yang. The network helps show where Mochen Yang may publish in the future.

Countries citing papers authored by Mochen Yang

Since Specialization

Citations

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