Kun Zhan

62 papers and 2.0k indexed citations i.

About

Kun Zhan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Kun Zhan has authored 62 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 18 papers in Media Technology. Recurrent topics in Kun Zhan’s work include Advanced Image Fusion Techniques (12 papers), Image Retrieval and Classification Techniques (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Kun Zhan is often cited by papers focused on Advanced Image Fusion Techniques (12 papers), Image Retrieval and Classification Techniques (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Kun Zhan collaborates with scholars based in China, Australia and Germany. Kun Zhan's co-authors include Yi Yang, Jing Wang, Changqing Zhang, Feiping Nie, Junsheng Wang, Yide Ma, Jinhui Shi, Hongjuan Zhang, Haibo Wang and Wei Dong and has published in prestigious journals such as Nature Communications, Applied Physics Letters and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Kun Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Zhan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025