Qi Fan

20 papers and 575 indexed citations i.

About

Qi Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Microbiology. According to data from OpenAlex, Qi Fan has authored 20 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Microbiology. Recurrent topics in Qi Fan’s work include Face and Expression Recognition (12 papers), Machine Learning and ELM (6 papers) and Antimicrobial Peptides and Activities (6 papers). Qi Fan is often cited by papers focused on Face and Expression Recognition (12 papers), Machine Learning and ELM (6 papers) and Antimicrobial Peptides and Activities (6 papers). Qi Fan collaborates with scholars based in China, United States and New Zealand. Qi Fan's co-authors include Daqi Gao, Zhe Wang, Runhui Liu, Hongyuan Zha, Yuxin Qian, Si Zhang, Dongdong Li, Qiang Zhang, Jiayang Xie and Zhongqian Qiao and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Medicinal Chemistry and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Qi Fan i

Fields of papers citing papers by Qi Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qi Fan

Since Specialization
Citations

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