Hanqun Cao

4 papers and 144 indexed citations i.

About

Hanqun Cao is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Hanqun Cao has authored 4 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Materials Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Hanqun Cao’s work include Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and vaccines and immunoinformatics approaches (1 paper). Hanqun Cao is often cited by papers focused on Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and vaccines and immunoinformatics approaches (1 paper). Hanqun Cao collaborates with scholars based in China, Hong Kong and United States. Hanqun Cao's co-authors include Guangyong Chen, Cheng Tan, Pheng‐Ann Heng, Stan Z. Li, Zhangyang Gao, Chang‐Yu Hsieh, Yafeng Deng, Furui Liu, Tingjun Hou and Yu Kang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Briefings in Bioinformatics and Nature Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by Hanqun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hanqun Cao

Since Specialization
Citations

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