Nanyi Fei

About

Nanyi Fei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Nanyi Fei has authored 7 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Nanyi Fei’s work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Nanyi Fei is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Nanyi Fei collaborates with scholars based in China, United Kingdom and Hong Kong. Nanyi Fei's co-authors include Tao Xiang, Yizhao Gao, Zhiwu Lu, Haoyu Lu, Yuqi Huo, Zhiwu Lu, Ji-Rong Wen, Guoxing Yang, Xin Gao and Ruihua Song and has published in prestigious journals such as Nature Communications, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Nanyi Fei i

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Fields of papers citing papers by Nanyi Fei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nanyi Fei

Since Specialization

Citations

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