Licheng Yu

65 papers and 1.4k indexed citations i.

About

Licheng Yu is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Licheng Yu has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 14 papers in Materials Chemistry and 12 papers in Artificial Intelligence. Recurrent topics in Licheng Yu’s work include Multimodal Machine Learning Applications (14 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Vision and Imaging (7 papers). Licheng Yu is often cited by papers focused on Multimodal Machine Learning Applications (14 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Vision and Imaging (7 papers). Licheng Yu collaborates with scholars based in China, United States and Israel. Licheng Yu's co-authors include Tamara L. Berg, Mohit Bansal, Jie Lei, Jingjing Liu, Zhe Gan, Yen‐Chun Chen, Linjie Li, Yu Cheng, Hongteng Xu and Yi Xu and has published in prestigious journals such as Analytical Chemistry, Chemical Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Co-authorship network of co-authors of Licheng Yu i

Fields of papers citing papers by Licheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Licheng Yu

Since Specialization
Citations

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