Shentong Mo

About

Shentong Mo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shentong Mo has authored 7 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Shentong Mo’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Single-cell and spatial transcriptomics (2 papers). Shentong Mo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Single-cell and spatial transcriptomics (2 papers). Shentong Mo collaborates with scholars based in United States, China and United Arab Emirates. Shentong Mo's co-authors include Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Gang Zeng, Yunhao Wang, Shumin Han, Ying Xin, Jingdong Wang, Ping Luo and Teresa Palomero and has published in prestigious journals such as Nature, Bioinformatics and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Shentong Mo i

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Fields of papers citing papers by Shentong Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shentong Mo

Since Specialization

Citations

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