Ming Ouyang

18 papers and 388 indexed citations i.

About

Ming Ouyang is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Ming Ouyang has authored 18 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Statistics and Probability. Recurrent topics in Ming Ouyang’s work include Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (4 papers) and Gene expression and cancer classification (4 papers). Ming Ouyang is often cited by papers focused on Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (4 papers) and Gene expression and cancer classification (4 papers). Ming Ouyang collaborates with scholars based in United States, China and Hong Kong. Ming Ouyang's co-authors include William J. Welsh, Panos G. Georgopoulos, Rebecka Jörnsten, Jiadong Li, Patrizia Casaccia‐Bonnefil, Mark R. Plummer, Yu R. Han, Dongming Sun, Andrew Y. S. Cheng and David Madigan and has published in prestigious journals such as Journal of Neuroscience, Bioinformatics and Statistics in Medicine.

In The Last Decade

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

Fields of papers citing papers by Ming Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Ouyang

Since Specialization
Citations

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