Mo Yu

72 papers and 2.2k indexed citations i.

About

Mo Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mo Yu has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Mo Yu’s work include Topic Modeling (43 papers), Natural Language Processing Techniques (32 papers) and Multimodal Machine Learning Applications (19 papers). Mo Yu is often cited by papers focused on Topic Modeling (43 papers), Natural Language Processing Techniques (32 papers) and Multimodal Machine Learning Applications (19 papers). Mo Yu collaborates with scholars based in United States, China and Canada. Mo Yu's co-authors include Shiyu Chang, Tiejun Zhao, Long Jiang, Ming Zhou, Xiaohua Liu, Bowen Zhou, Bing Xiang, Mark Dredze, Xiaoxiao Guo and Matthew R. Gormley and has published in prestigious journals such as The Astrophysical Journal, Computer Methods in Applied Mechanics and Engineering and Journal of Marriage and Family.

In The Last Decade

Co-authorship network of co-authors of Mo Yu i

Fields of papers citing papers by Mo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mo Yu

Since Specialization
Citations

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