Dong Liu
Impact in
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- Manufacturing Process and Optimization
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- Robot Manipulation and Learning
Papers in
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- Robot Manipulation and Learning 19
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- Reinforcement Learning in Robotics 7
- Co-authors
- Ming Cong (62 shared papers)Yu Du (48 shared papers)Ping Chen (6 shared papers)Yingxu Wang (2 shared papers)Ying Wang (1 shared paper)He Jiang (8 shared papers)Chun Lu (2 shared papers)Qi Yu (2 shared papers)
- Journals
- Industrial Robot the international journal of robotics research and application (8 papers)IEEE Transactions on Instrumentation and Measurement (5 papers)IEEE Robotics and Automation Letters (3 papers)Journal of Intelligent & Robotic Systems (3 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- ChinaCanadaSouth Korea
In The Last Decade
Dong Liu
107 papers receiving 989 citations
Peers
Comparison fields: 5 of 117
- Industrial and Manufacturing Engineering 95
- Control and Systems Engineering 201
- Computer Vision and Pattern Recognition 161
- Artificial Intelligence 236
- Software 26
Countries citing papers authored by Dong Liu
This map shows the geographic impact of Dong Liu'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 Dong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Liu more than expected).
Fields of papers citing papers by Dong Liu
This network shows the impact of papers produced by Dong Liu. 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 Dong Liu. The network helps show where Dong Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 57 | |
| 2 | 2022 | 57 | |
| 3 | 2011 | 48 | |
| 4 | 2018 | 43 | |
| 5 | 2011 | 38 | |
| 6 | 2012 | 36 | |
| 7 | 2017 | 35 | |
| 8 | 2021 | 35 | |
| 9 | 2018 | 31 | |
| 10 | 2014 | 29 | |
| 11 | 2004 | 24 | |
| 12 | 2011 | 21 | |
| 13 | 2016 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2014 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2023 | 17 | |
| 19 | 2017 | 17 | |
| 20 | 2022 | 15 |
About Dong Liu
Dong Liu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Mechanical Engineering, having authored 130 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (19 papers), Robotic Path Planning Algorithms (15 papers), Soft Robotics and Applications (12 papers), Robotics and Sensor-Based Localization (11 papers), Advanced Image and Video Retrieval Techniques (9 papers), Manufacturing Process and Optimization (7 papers), Modular Robots and Swarm Intelligence (7 papers) and Reinforcement Learning in Robotics (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (95 citations), Control and Systems Engineering (201 citations), Computer Vision and Pattern Recognition (161 citations), Artificial Intelligence (236 citations) and Software (26 citations). Dong Liu has collaborated with scholars based in China, Canada and South Korea. Frequent co-authors include Ming Cong, Yu Du, Ping Chen, Yingxu Wang, Ying Wang, He Jiang, Chun Lu, Qi Yu, Huadong Zheng and Yi Liu. Their work appears in journals such as Industrial Robot the international journal of robotics research and application, IEEE Transactions on Instrumentation and Measurement, IEEE Robotics and Automation Letters, Journal of Intelligent & Robotic Systems and Engineering Applications of Artificial Intelligence.
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.