Ming Yin

154 papers and 3.4k indexed citations i.

About

Ming Yin is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming Yin has authored 154 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 34 papers in Computer Vision and Pattern Recognition and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming Yin’s work include Neuroscience and Neural Engineering (20 papers), EEG and Brain-Computer Interfaces (16 papers) and Face and Expression Recognition (15 papers). Ming Yin is often cited by papers focused on Neuroscience and Neural Engineering (20 papers), EEG and Brain-Computer Interfaces (16 papers) and Face and Expression Recognition (15 papers). Ming Yin collaborates with scholars based in China, United States and Australia. Ming Yin's co-authors include Junbin Gao, Zhouchen Lin, Xiaoning Liu, Yü Liu, Xun Chen, David A. Borton, Juan Aceros, Maysam Ghovanloo, Shengli Xie and A. V. Nurmikko and has published in prestigious journals such as Neuron, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

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

Fields of papers citing papers by Ming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Yin

Since Specialization
Citations

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