Yunchen Pu

About

Yunchen Pu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Yunchen Pu has authored 27 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Biomedical Engineering. Recurrent topics in Yunchen Pu’s work include Generative Adversarial Networks and Image Synthesis (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Sparse and Compressive Sensing Techniques (4 papers). Yunchen Pu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Sparse and Compressive Sensing Techniques (4 papers). Yunchen Pu collaborates with scholars based in United States, United Kingdom and China. Yunchen Pu's co-authors include Xin Yuan, Lawrence Carin, Vassilis Athitsos, Xin Miao, Chunyuan Li, Zhe Gan, Changyou Chen, Ricardo Henao, Yizhe Zhang and Wenlin Wang and has published in prestigious journals such as The Journal of the Acoustical Society of America, Optics Express and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Yunchen Pu i

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Fields of papers citing papers by Yunchen Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunchen Pu

Since Specialization

Citations

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