Mingxing Tan

36 papers and 9.5k indexed citations i.

About

Mingxing Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Mingxing Tan has authored 36 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Hardware and Architecture. Recurrent topics in Mingxing Tan’s work include Advanced Neural Network Applications (17 papers), Parallel Computing and Optimization Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Mingxing Tan is often cited by papers focused on Advanced Neural Network Applications (17 papers), Parallel Computing and Optimization Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Mingxing Tan collaborates with scholars based in United States, China and Australia. Mingxing Tan's co-authors include Quoc V. Le, Ruoming Pang, Bo Chen, Vijay Vasudevan, Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Weijun Wang and Hartwig Adam and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Mingxing Tan i

Fields of papers citing papers by Mingxing Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingxing Tan

Since Specialization
Citations

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