Ming Yang

294 papers and 3.3k indexed citations i.

About

Ming Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Ming Yang has authored 294 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Computer Vision and Pattern Recognition, 82 papers in Aerospace Engineering and 58 papers in Automotive Engineering. Recurrent topics in Ming Yang’s work include Robotics and Sensor-Based Localization (61 papers), Autonomous Vehicle Technology and Safety (50 papers) and Advanced Neural Network Applications (33 papers). Ming Yang is often cited by papers focused on Robotics and Sensor-Based Localization (61 papers), Autonomous Vehicle Technology and Safety (50 papers) and Advanced Neural Network Applications (33 papers). Ming Yang collaborates with scholars based in China, United States and United Kingdom. Ming Yang's co-authors include Chunxiang Wang, Yeqiang Qian, Bing Wang, Liuyuan Deng, Shengwu Xiong, Shiyang Li, Liang Li, Rui Jiang, Bin Jia and Qing-Song Wu and has published in prestigious journals such as Angewandte Chemie International Edition, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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