Han Cao

About

Han Cao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Han Cao has authored 24 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Han Cao’s work include Online Learning and Analytics (6 papers), Recommender Systems and Techniques (4 papers) and Online and Blended Learning (4 papers). Han Cao is often cited by papers focused on Online Learning and Analytics (6 papers), Recommender Systems and Techniques (4 papers) and Online and Blended Learning (4 papers). Han Cao collaborates with scholars based in China, Yemen and Saudi Arabia. Han Cao's co-authors include Ahmed A. Mubarak, Yifei Li, Yanhui Guo, Yu Bai, Ibrahim M. Hezam, Yunchuan Sun, Jianjun Bai, Xi Luo, Xinxin Zhang and Fei Hao and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

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

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Fields of papers citing papers by Han Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Han Cao

Since Specialization

Citations

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