Danlu Chen

About

Danlu Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Danlu Chen has authored 2 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Danlu Chen’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning and Data Classification (1 paper). Danlu Chen is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning and Data Classification (1 paper). Danlu Chen collaborates with scholars based in United States and The Netherlands. Danlu Chen's co-authors include Tianhong Li, Laurens van der Maaten, Gao Huang, Felix Wu and Kilian Q. Weinberger and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Danlu Chen i

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Fields of papers citing papers by Danlu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danlu Chen

Since Specialization

Citations

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