KeJun Ning
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
Papers in
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- Robot Manipulation and Learning 7
- Robotic Mechanisms and Dynamics 6
- Robotics and Automated Systems 1
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- Robotic Path Planning Algorithms 5
- Human Pose and Action Recognition 1
- Co-authors
- Florentin Wörgötter (7 shared papers)Tomas Kulvičius (4 shared papers)Minija Tamošiūnaitė (4 shared papers)Florentin Wörgötter (1 shared paper)Babette Dellen (1 shared paper)Eren Erdal Aksoy (1 shared paper)Alexey Abramov (1 shared paper)Mingyang Zhao (1 shared paper)
In The Last Decade
KeJun Ning
12 papers receiving 313 citations
Peers
Comparison fields: 5 of 36
- Control and Systems Engineering 232
- Computer Vision and Pattern Recognition 128
- Human-Computer Interaction 24
- Artificial Intelligence 92
- Biomedical Engineering 89
Countries citing papers authored by KeJun Ning
This map shows the geographic impact of KeJun Ning'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 KeJun Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KeJun Ning more than expected).
Fields of papers citing papers by KeJun Ning
This network shows the impact of papers produced by KeJun Ning. 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 KeJun Ning. The network helps show where KeJun Ning may publish in the future.
Co-authors
The 9 scholars most cited alongside KeJun Ning, 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 | 2011 | 128 | |
| 2 | 2011 | 103 | |
| 3 | 2009 | 25 | |
| 4 | 2011 | 15 | |
| 5 | 2006 | 12 | |
| 6 | 2012 | 10 | |
| 7 | 2006 | 8 | |
| 8 | 2011 | 7 | |
| 9 | 2011 | 4 | |
| 10 | 2009 | 3 | |
| 11 | To Paint What Is Seen: A System Implementation of a Novel Conceptual Hyper-Redundant Chain Robot with Monocular Vision | 2010 | 2 |
| 12 | 2006 | 2 |
About KeJun Ning
KeJun Ning is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 12 papers that have together received 319 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Robotic Mechanisms and Dynamics (6 papers), Robotic Path Planning Algorithms (5 papers), Soft Robotics and Applications (4 papers), Modular Robots and Swarm Intelligence (4 papers), Robotics and Automated Systems (1 paper), Robotics and Sensor-Based Localization (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Control and Systems Engineering (232 citations), Computer Vision and Pattern Recognition (128 citations), Human-Computer Interaction (24 citations), Artificial Intelligence (92 citations) and Biomedical Engineering (89 citations). KeJun Ning has collaborated with scholars based in Germany, China and Lithuania. Frequent co-authors include Florentin Wörgötter, Tomas Kulvičius, Minija Tamošiūnaitė, Florentin Wörgötter, Babette Dellen, Eren Erdal Aksoy, Alexey Abramov, Mingyang Zhao and Jie Liu. Their work appears in journals such as IEEE Transactions on Robotics, Mechatronics, Journal of Intelligent & Robotic Systems, Journal of Manufacturing Science and Engineering and IEEE/ASME Transactions on Mechatronics.
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.