Hang Yin

91 total papers · 783 total citations
49 papers, 491 citations indexed

About

Hang Yin is a scholar working on Control and Systems Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Hang Yin has authored 49 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 15 papers in Aerospace Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Hang Yin's work include Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (9 papers) and Human Motion and Animation (5 papers). Hang Yin is often cited by papers focused on Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (9 papers) and Human Motion and Animation (5 papers). Hang Yin collaborates with scholars based in China, Sweden and Switzerland. Hang Yin's co-authors include Danica Kragić, Aude Billard, Miao Li, Kenji Tahara, Xianlin Huang, Hongqian Lu, Michael C. Welle, Mårten Björkman, Martina Lippi and Alessandro Marino and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Neural Networks and IEEE Transactions on Robotics.

In The Last Decade

Hang Yin

39 papers receiving 477 citations

Hit Papers

Modeling, learning, perce... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hang Yin 300 148 142 79 76 49 491
Robert Bicker 255 0.8× 91 0.6× 70 0.5× 39 0.5× 44 0.6× 51 522
Curtis Collins 303 1.0× 106 0.7× 129 0.9× 59 0.7× 84 1.1× 25 490
Henry W. Stone 313 1.0× 96 0.6× 151 1.1× 19 0.2× 90 1.2× 22 521
Tao Chen 154 0.5× 63 0.4× 118 0.8× 38 0.5× 110 1.4× 74 468
Luis Figueredo 313 1.0× 100 0.7× 103 0.7× 62 0.8× 44 0.6× 56 447
Adrià Colomé 345 1.1× 177 1.2× 100 0.7× 95 1.2× 30 0.4× 31 442
Ashwin Balakrishna 298 1.0× 147 1.0× 106 0.7× 136 1.7× 44 0.6× 30 530
Markus Eich 185 0.6× 225 1.5× 175 1.2× 52 0.7× 143 1.9× 28 525
Lei Zeng 118 0.4× 87 0.6× 104 0.7× 103 1.3× 19 0.3× 47 500
M. Kakikura 220 0.7× 119 0.8× 218 1.5× 33 0.4× 114 1.5× 60 518

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).

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.

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.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026