Na Han

28 papers and 656 indexed citations i.

About

Na Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Na Han has authored 28 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 12 papers in Computational Mechanics. Recurrent topics in Na Han’s work include Face and Expression Recognition (13 papers), Sparse and Compressive Sensing Techniques (12 papers) and Remote-Sensing Image Classification (10 papers). Na Han is often cited by papers focused on Face and Expression Recognition (13 papers), Sparse and Compressive Sensing Techniques (12 papers) and Remote-Sensing Image Classification (10 papers). Na Han collaborates with scholars based in China, Hong Kong and Australia. Na Han's co-authors include Xiaozhao Fang, Jie Wen, Jigang Wu, Yong Xu, Jian Yang, Wai Keung Wong, Lunke Fei, Ke Yan, Shaohua Teng and Shengli Xie and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

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

Fields of papers citing papers by Na Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Na Han

Since Specialization
Citations

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