Ming Zeng

45 papers and 610 indexed citations i.

About

Ming Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ming Zeng has authored 45 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Ming Zeng’s work include Face recognition and analysis (9 papers), Human Pose and Action Recognition (8 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Ming Zeng is often cited by papers focused on Face recognition and analysis (9 papers), Human Pose and Action Recognition (8 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Ming Zeng collaborates with scholars based in China, United States and Russia. Ming Zeng's co-authors include Fang Wen, Xinguo Liu, Dong Chen, Jianmin Bao, Jiaxiang Zheng, Hao Yang, Lu Yuan, Xuan Cheng, Madhukar Budagavi and Xiaohu Guo and has published in prestigious journals such as Polymer, Sensors and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Ming Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Zeng

Since Specialization
Citations

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