Yunlong Song

21 papers and 357 indexed citations i.

About

Yunlong Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Yunlong Song has authored 21 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Aerospace Engineering. Recurrent topics in Yunlong Song’s work include Robotic Path Planning Algorithms (10 papers), Reinforcement Learning in Robotics (8 papers) and Robotics and Sensor-Based Localization (5 papers). Yunlong Song is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Reinforcement Learning in Robotics (8 papers) and Robotics and Sensor-Based Localization (5 papers). Yunlong Song collaborates with scholars based in Switzerland, United States and China. Yunlong Song's co-authors include Davide Scaramuzza, Elia Kaufmann, Ángel Romero, Robert Pěnička, Peter Dürr, Matthias M. Müller, Vladlen Koltun, Shangyuan Li, Leonard Bauersfeld and Hanyi Zhang and has published in prestigious journals such as Optics Letters, IEEE Transactions on Robotics and Science Robotics.

In The Last Decade

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

Fields of papers citing papers by Yunlong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunlong Song

Since Specialization
Citations

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