Yuhang Song

23 papers and 325 indexed citations i.

About

Yuhang Song is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Yuhang Song has authored 23 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Yuhang Song’s work include Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (5 papers) and Reinforcement Learning in Robotics (5 papers). Yuhang Song is often cited by papers focused on Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (5 papers) and Reinforcement Learning in Robotics (5 papers). Yuhang Song collaborates with scholars based in China, United Kingdom and Austria. Yuhang Song's co-authors include Mai Xu, Jianyi Wang, Liangyu Huo, Zulin Wang, Minglang Qiao, Thomas Lukasiewicz, Rafał Bogacz, Zhenghua Xu, Tommaso Salvatori and Beren Millidge and has published in prestigious journals such as Nature Communications, Nature Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

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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2025