Hang Yin

31 papers and 278 indexed citations
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About

Hang Yin is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hang Yin has authored 31 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 11 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hang Yin’s work include Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Inertial Sensor and Navigation (3 papers). Hang Yin is often cited by papers focused on Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Inertial Sensor and Navigation (3 papers). Hang Yin collaborates with scholars based in Sweden, China and Denmark. Hang Yin's co-authors include Danica Kragić, Xianlin Huang, Hongqian Lu, Michael C. Welle, Martina Lippi, Alessandro Marino, Guillem Alenyà, Pietro Falco, Júlia Borràs and Rika Antonova and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Neural Networks and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of Hang Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yin. A scholar is included among the top collaborators of Hang Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hang Yin. Hang Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Hang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Yin

Since Specialization
Citations

This map shows the geographic impact of Hang Yin'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 Hang Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yin 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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2026