Yuhang Song

About

Yuhang Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yuhang Song has authored 6 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Yuhang Song’s work include Domain Adaptation and Few-Shot Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Non-Destructive Testing Techniques (1 paper). Yuhang Song is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Non-Destructive Testing Techniques (1 paper). Yuhang Song collaborates with scholars based in China and United States. Yuhang Song's co-authors include C.‐C. Jay Kuo, Qin Huang, Bo Yang, Peng Wang, Chao Yang, Jin Fang, Zhiyuan Wang, Jinhui Yu, Weiwei Xu and Wei Li and has published in prestigious journals such as Biomolecules, Signal Processing Image Communication and Quality and Reliability Engineering International.

In The Last Decade

Co-authorship network of co-authors of Yuhang Song i

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Fields of papers citing papers by Yuhang Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuhang Song

Since Specialization

Citations

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