Ming Zong

About

Ming Zong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ming Zong has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Ming Zong’s work include Face and Expression Recognition (10 papers), Human Pose and Action Recognition (8 papers) and Advanced Neural Network Applications (6 papers). Ming Zong is often cited by papers focused on Face and Expression Recognition (10 papers), Human Pose and Action Recognition (8 papers) and Advanced Neural Network Applications (6 papers). Ming Zong collaborates with scholars based in China, New Zealand and United States. Ming Zong's co-authors include Shichao Zhang, Xiaofeng Zhu, Xuelong Li, Ruili Wang, Debo Cheng, Zhenyun Deng, Xiaoshu Zhu, Xuelian Deng, Wanting Ji and Zhe Chen and has published in prestigious journals such as Sensors, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

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Fields of papers citing papers by Ming Zong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Zong

Since Specialization

Citations

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