Cewu Lu
Impact in
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- Robot Manipulation and Learning
- Robotics and Automated Systems
Papers in
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- Robot Manipulation and Learning 5
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- Human Pose and Action Recognition 2
- Co-authors
- Danny Driess (1 shared paper)Ashish Kapoor (1 shared paper)Brian Ichter (1 shared paper)Yuke Zhu (1 shared paper)Jia-Jun Wu (1 shared paper)Weiyu Liu (1 shared paper)Stephen Tian (1 shared paper)Roya Firoozi (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Robotics and Automation Letters (1 paper)The International Journal of Robotics Research (1 paper)Nature Communications (1 paper)IET Computer Vision (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cewu Lu
7 papers receiving 119 citations
Cewu Lu's Hit Papers
Peers
Comparison fields: 5 of 43
- Human-Computer Interaction 12
- Control and Systems Engineering 41
- Computer Vision and Pattern Recognition 36
- Artificial Intelligence 31
- Industrial and Manufacturing Engineering 7
Countries citing papers authored by Cewu Lu
This map shows the geographic impact of Cewu Lu'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 Cewu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cewu Lu more than expected).
Fields of papers citing papers by Cewu Lu
This network shows the impact of papers produced by Cewu Lu. 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 Cewu Lu. The network helps show where Cewu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cewu Lu, 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 | Foundation models in robotics: Applications, challenges, and the future Hit paper breakdown → | 2024 | 73 |
| 2 | 2022 | 23 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2025 | 3 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Cewu Lu
Cewu Lu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Cognitive Neuroscience, having authored 12 papers that have together received 122 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), 3D Shape Modeling and Analysis (2 papers), Human Pose and Action Recognition (2 papers), Reinforcement Learning in Robotics (2 papers), Muscle activation and electromyography studies (2 papers), Hand Gesture Recognition Systems (1 paper), Robotics and Sensor-Based Localization (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Human-Computer Interaction (12 citations), Control and Systems Engineering (41 citations), Computer Vision and Pattern Recognition (36 citations), Artificial Intelligence (31 citations) and Industrial and Manufacturing Engineering (7 citations). Cewu Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Danny Driess, Ashish Kapoor, Brian Ichter, Yuke Zhu, Jia-Jun Wu, Weiyu Liu, Stephen Tian, Roya Firoozi, Anirudha Majumdar and Shuran Song. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Nature Communications and IET Computer Vision.
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.