Qinmu Peng

About

Qinmu Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qinmu Peng has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qinmu Peng’s work include Advanced Neuroimaging Techniques and Applications (13 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Advanced Neural Network Applications (10 papers). Qinmu Peng is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (13 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Advanced Neural Network Applications (10 papers). Qinmu Peng collaborates with scholars based in China, United States and Hong Kong. Qinmu Peng's co-authors include Xinge You, Yiu‐ming Cheung, Jiajia Lei, Yuan Yuan, Hao Huang, Minhui Ouyang, Shiming Chen, Virendra Mishra, Feng Zheng and Ziming Hong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Qinmu Peng i

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Fields of papers citing papers by Qinmu Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qinmu Peng

Since Specialization

Citations

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