Xin Luo

About

Xin Luo is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xin Luo has authored 36 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Molecular Biology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xin Luo’s work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (6 papers) and COVID-19 diagnosis using AI (5 papers). Xin Luo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (6 papers) and COVID-19 diagnosis using AI (5 papers). Xin Luo collaborates with scholars based in China, United States and Hong Kong. Xin Luo's co-authors include Chen Li, Yusong Tan, Wei Chen, Yulin He, Fei Li, Zhiying Wang, Di Wang, Wei Zhou, Huijuan Wang and Yizheng Wu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Xin Luo i

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Fields of papers citing papers by Xin Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Luo

Since Specialization

Citations

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