Da Cao

32 papers and 651 indexed citations i.

About

Da Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Da Cao has authored 32 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Da Cao’s work include Multimodal Machine Learning Applications (13 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Video Analysis and Summarization (9 papers). Da Cao is often cited by papers focused on Multimodal Machine Learning Applications (13 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Video Analysis and Summarization (9 papers). Da Cao collaborates with scholars based in China, United States and Singapore. Da Cao's co-authors include Liqiang Nie, Xiangnan He, Xiaochi Wei, Tat‐Seng Chua, Meng Liu, Qi Tian, Shunxiang Wu, Hao Chen, Guangyi Xiao and Shunzhi Zhu and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Da Cao i

Fields of papers citing papers by Da Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Da Cao

Since Specialization
Citations

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