Chun‐Na Li

About

Chun‐Na Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Chun‐Na Li has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 18 papers in Control and Systems Engineering. Recurrent topics in Chun‐Na Li’s work include Face and Expression Recognition (51 papers), Machine Learning and ELM (18 papers) and Sparse and Compressive Sensing Techniques (15 papers). Chun‐Na Li is often cited by papers focused on Face and Expression Recognition (51 papers), Machine Learning and ELM (18 papers) and Sparse and Compressive Sensing Techniques (15 papers). Chun‐Na Li collaborates with scholars based in China, Australia and United States. Chun‐Na Li's co-authors include Yuan‐Hai Shao, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang, Lan Bai, Shenglan Chen, Yanru Guo, Wotao Yin, Zhimin Yang and Zhimin Yang and has published in prestigious journals such as IEEE Access, Information Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Chun‐Na Li i

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Fields of papers citing papers by Chun‐Na Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chun‐Na Li

Since Specialization

Citations

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