Ruinian Xu
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems 2
- Gaze Tracking and Assistive Technology 2
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- Robot Manipulation and Learning 11
- Robotic Mechanisms and Dynamics 2
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- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 2
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- Soft Robotics and Applications 4
- Artificial Intelligence top 10%
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- Robotics and Sensor-Based Localization 2
- Co-authors
- Patricio A. VelaFu-Jen ChuYunzhi LinWeiyu LiuMaysam GhovanlooDehao HuangHong ZhangHongyi Chen
- Cited by
- Human-Computer InteractionControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Robotics and Automation Letters (5 papers)IEEE Transactions on Automation Science and Engineering (1 paper)The International Journal of Robotics Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ruinian Xu
12 papers receiving 466 citations
Hit Papers
Peers
Comparison fields: 5 of 39
- Human-Computer Interaction 143
- Control and Systems Engineering 399
- Computer Vision and Pattern Recognition 168
- Biomedical Engineering 207
- Artificial Intelligence 104
Countries citing papers authored by Ruinian Xu
This map shows the geographic impact of Ruinian Xu'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 Ruinian Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruinian Xu more than expected).
Fields of papers citing papers by Ruinian Xu
This network shows the impact of papers produced by Ruinian Xu. 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 Ruinian Xu. The network helps show where Ruinian Xu may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Ruinian Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 33 | |
| 7 | 2021 | 34 | |
| 8 | 2021 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 35 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 4 | |
| 13 | Real-World Multiobject, Multigrasp Detectionbreakdown → | 2018 | 294 |
About Ruinian Xu
Ruinian Xu is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 476 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Soft Robotics and Applications (4 papers), Hand Gesture Recognition Systems (2 papers), Gaze Tracking and Assistive Technology (2 papers), Multimodal Machine Learning Applications (2 papers), Robotic Mechanisms and Dynamics (2 papers), Robotics and Sensor-Based Localization (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (143 citations), Control and Systems Engineering (399 citations) and Computer Vision and Pattern Recognition (168 citations). Ruinian Xu has collaborated with scholars based in United States and China. Frequent co-authors include Patricio A. Vela, Fu-Jen Chu, Yunzhi Lin, Weiyu Liu, Maysam Ghovanloo, Dehao Huang, Hong Zhang, Hongyi Chen and Yiye Chen. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, The International Journal of Robotics Research and PubMed.
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.