Fei Xia

175 papers and 2.8k indexed citations i.

About

Fei Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Fei Xia has authored 175 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 45 papers in Computer Vision and Pattern Recognition and 41 papers in Molecular Biology. Recurrent topics in Fei Xia’s work include Topic Modeling (42 papers), Natural Language Processing Techniques (40 papers) and Multimodal Machine Learning Applications (14 papers). Fei Xia is often cited by papers focused on Topic Modeling (42 papers), Natural Language Processing Techniques (40 papers) and Multimodal Machine Learning Applications (14 papers). Fei Xia collaborates with scholars based in China, United States and United Kingdom. Fei Xia's co-authors include Martha Palmer, Nianwen Xue, Yong Dou, Wei Wu, Yi Lü, Jianping Qi, Xiaochun Dong, Weili Zhao, Xin Niu and Silvio Savarese and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Fei Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Xia

Since Specialization
Citations

This map shows the geographic impact of Fei Xia'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 Fei Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Xia 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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2025