Shi Han

60 papers and 895 indexed citations i.

About

Shi Han is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shi Han has authored 60 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 22 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shi Han’s work include Topic Modeling (14 papers), Software Engineering Research (9 papers) and Natural Language Processing Techniques (9 papers). Shi Han is often cited by papers focused on Topic Modeling (14 papers), Software Engineering Research (9 papers) and Natural Language Processing Techniques (9 papers). Shi Han collaborates with scholars based in China, United States and Hong Kong. Shi Han's co-authors include Dongmei Zhang, Bin Yu, Lun Du, Xuan Li, Junqi Chen, Qin Ma, Simin Liu, Tao Xie, Yingnong Dang and Ge Song and has published in prestigious journals such as IEEE Transactions on Wireless Communications, Genomics and IEEE Transactions on Software Engineering.

In The Last Decade

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

Fields of papers citing papers by Shi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shi Han

Since Specialization
Citations

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