Dengxin Dai

97 papers and 3.6k indexed citations i.

About

Dengxin Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Dengxin Dai has authored 97 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 15 papers in Aerospace Engineering. Recurrent topics in Dengxin Dai’s work include Advanced Neural Network Applications (28 papers), Domain Adaptation and Few-Shot Learning (27 papers) and Multimodal Machine Learning Applications (22 papers). Dengxin Dai is often cited by papers focused on Advanced Neural Network Applications (28 papers), Domain Adaptation and Few-Shot Learning (27 papers) and Multimodal Machine Learning Applications (22 papers). Dengxin Dai collaborates with scholars based in Switzerland, Belgium and Germany. Dengxin Dai's co-authors include Luc Van Gool, Christos Sakaridis, Wen Yang, Lukas Hoyer, Wouter Van Gansbeke, Stamatios Georgoulis, Simon Vandenhende, Marc Proesmans, Olga Fink and Alexander Liniger and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Dengxin Dai i

Fields of papers citing papers by Dengxin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dengxin Dai

Since Specialization
Citations

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