Chenshen Wu

About

Chenshen Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Chenshen Wu has authored 4 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Chenshen Wu’s work include Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (2 papers). Chenshen Wu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (2 papers). Chenshen Wu collaborates with scholars based in Spain, China and Italy. Chenshen Wu's co-authors include Joost van de Weijer, Luis Herranz, Xialei Liu, Bogdan Raducanu, Bogdan Raducanu, Shangling Jui, Andrew D. Bagdanov, Fahad Shahbaz Khan, Abel González-García and Yaxing Wang and has published in prestigious journals such as International Journal of Computer Vision, Neural Information Processing Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Chenshen Wu i

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Fields of papers citing papers by Chenshen Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chenshen Wu

Since Specialization

Citations

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