Ming Yang

89 papers and 9.0k indexed citations i.

About

Ming Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Finance. According to data from OpenAlex, Ming Yang has authored 89 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 9 papers in Finance. Recurrent topics in Ming Yang’s work include Video Surveillance and Tracking Methods (27 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Human Pose and Action Recognition (15 papers). Ming Yang is often cited by papers focused on Video Surveillance and Tracking Methods (27 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Human Pose and Action Recognition (15 papers). Ming Yang collaborates with scholars based in United States, China and Pakistan. Ming Yang's co-authors include Shuiwang Ji, Wei Xu, Kai Yu, Marc’Aurelio Ranzato, Yaniv Taigman, Lior Wolf, Ying Wu, Junsong Yuan, Shiliang Zhang and Xiaoyu Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Review of Financial Studies and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025