Fangchen Liu

19 papers and 1.0k indexed citations i.

About

Fangchen Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Fangchen Liu has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Fangchen Liu’s work include Domain Adaptation and Few-Shot Learning (3 papers), Reinforcement Learning in Robotics (3 papers) and Algal biology and biofuel production (3 papers). Fangchen Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Reinforcement Learning in Robotics (3 papers) and Algal biology and biofuel production (3 papers). Fangchen Liu collaborates with scholars based in United States and China. Fangchen Liu's co-authors include Fisher Yu, Xin Wang, Haofeng Chen, Wenqi Xian, Trevor Darrell, Vashisht Madhavan, Yingying Chen, Mingming Wu, Andrea Giometto and Jiacheng Li and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and Lab on a Chip.

In The Last Decade

Co-authorship network of co-authors of Fangchen Liu i

Fields of papers citing papers by Fangchen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fangchen Liu

Since Specialization
Citations

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