Rui Song
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- Robot Manipulation and Learning 8
- Advanced Sensor and Control Systems 6
- Automotive Engineering top 10%
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 7
- Ocean Engineering top 10%
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- Soft Robotics and Applications 9
- Prosthetics and Rehabilitation Robotics 7
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- Advanced Fiber Optic Sensors 5
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- Reinforcement Learning in Robotics 5
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- Modular Robots and Swarm Intelligence 5
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Rui Song
98 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 152
- Control and Systems Engineering 260
- Automotive Engineering 88
- Aerospace Engineering 120
- Ocean Engineering 73
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Rui Song
This map shows the geographic impact of Rui 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 Rui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Song more than expected).
Fields of papers citing papers by Rui Song
This network shows the impact of papers produced by Rui 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 Rui Song. The network helps show where Rui Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rui Song, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 4 | |
| 16 | A pH-Responsive Charge-Reversal Drug Delivery System with Tumor-Specific Drug Release and ROS Generation for Cancer Therapy | 2020 | 1 |
| 17 | 2015 | 26 | |
| 18 | Design and implementation of CAN device driver under embedded ARM Linux operating system | 2007 | 2 |
| 19 | Thoughts on Constructing Ecotourism Accreditation Program in China | 2004 | 3 |
| 20 | Using MATLAB's SIMULINK to Make the Simulation of Fuzzy Control System | 2003 | 1 |
About Rui Song
Rui Song is a scholar working on Control and Systems Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Otorhinolaryngology, having authored 121 papers that have together received 1.0k indexed citations. Recurring topics across this work include Soft Robotics and Applications (9 papers), Robot Manipulation and Learning (8 papers), Robotics and Sensor-Based Localization (7 papers), Prosthetics and Rehabilitation Robotics (7 papers), Advanced Sensor and Control Systems (6 papers), Advanced Fiber Optic Sensors (5 papers), Reinforcement Learning in Robotics (5 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Control and Systems Engineering (260 citations), Automotive Engineering (88 citations) and Aerospace Engineering (120 citations). Rui Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yibin Li, Yongchun Fang, Xuewen Rong, Jun Liu, Yunbo Shi, Jie Li, Xiaoming Zhang, Huiliang Cao, Xiyuan Chen and Xincheng Tian. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.