Kun Han

18 papers and 242 indexed citations i.

About

Kun Han is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Kun Han has authored 18 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Biomedical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Kun Han’s work include Medical Image Segmentation Techniques (4 papers), Topic Modeling (2 papers) and Speech and dialogue systems (2 papers). Kun Han is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Topic Modeling (2 papers) and Speech and dialogue systems (2 papers). Kun Han collaborates with scholars based in China, United States and Japan. Kun Han's co-authors include Yun Lei, Yang Liu, Xiaohui Xie, Shanlin Sun, Xuming Chen, Qian Huang, Dacheng Zhang, Zhipeng Lu, Shengyu Yao and Qianqian Liu and has published in prestigious journals such as Sensors, IEEE Access and Radiotherapy and Oncology.

In The Last Decade

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

Fields of papers citing papers by Kun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Han

Since Specialization
Citations

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