Dayan Wu

38 papers and 300 indexed citations i.

About

Dayan Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Dayan Wu has authored 38 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Dayan Wu’s work include Advanced Image and Video Retrieval Techniques (23 papers), Video Surveillance and Tracking Methods (19 papers) and Advanced Neural Network Applications (10 papers). Dayan Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (23 papers), Video Surveillance and Tracking Methods (19 papers) and Advanced Neural Network Applications (10 papers). Dayan Wu collaborates with scholars based in China and Canada. Dayan Wu's co-authors include Weiping Wang, Bo Li, Yu Zhou, Jing Liu, Wanqian Zhang, Qi Dai, Dongbao Yang, Yucan Zhou, Dan Meng and Qixiang Ye and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology and Applied Intelligence.

In The Last Decade

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

Fields of papers citing papers by Dayan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dayan Wu

Since Specialization
Citations

This map shows the geographic impact of Dayan 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 Dayan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayan 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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2025