Ming Zhong

80 papers and 898 indexed citations i.

About

Ming Zhong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ming Zhong has authored 80 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Ming Zhong’s work include Topic Modeling (16 papers), Advanced Graph Neural Networks (9 papers) and Caching and Content Delivery (8 papers). Ming Zhong is often cited by papers focused on Topic Modeling (16 papers), Advanced Graph Neural Networks (9 papers) and Caching and Content Delivery (8 papers). Ming Zhong collaborates with scholars based in China, United States and Hong Kong. Ming Zhong's co-authors include Kai Shen, Jianxin Li, Randy F. LaFollette, Joel Seiferas, Srikanta Mishra, Jared Schuetter, Bingwen Qiu, Jia Chen, Tieyun Qian and Zhenghong Tang and has published in prestigious journals such as Scientific Reports, Journal of Cleaner Production and Biomacromolecules.

In The Last Decade

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

Fields of papers citing papers by Ming Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Zhong

Since Specialization
Citations

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