Ying Jin
Impact in
- Polymers and Plastics top 10%
- Polymer composites and self-healing
-
- Robotic Path Planning Algorithms
Papers in
-
- Adaptive Control of Nonlinear Systems 12
-
- Robotic Path Planning Algorithms 10
- Co-authors
- Zhaohui Su (4 shared papers)Jun Fu (2 shared papers)Ziquan Yu (1 shared paper)Youmin Zhang (1 shared paper)Young Jong Lee (2 shared papers)Bin Jiang (1 shared paper)Jianmin Wang (4 shared papers)Mingsheng Long (4 shared papers)
- Journals
- Macromolecules (2 papers)The Journal of Strength and Conditioning Research (1 paper)Polymer Chemistry (1 paper)RSC Advances (1 paper)Journal of Applied Polymer Science (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ying Jin
54 papers receiving 662 citations
Peers
Comparison fields: 5 of 105
- Polymers and Plastics 132
- Computer Vision and Pattern Recognition 142
- Rehabilitation 41
- Biomaterials 71
- Control and Systems Engineering 118
Countries citing papers authored by Ying Jin
This map shows the geographic impact of Ying Jin'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 Ying Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Jin more than expected).
Fields of papers citing papers by Ying Jin
This network shows the impact of papers produced by Ying Jin. 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 Ying Jin. The network helps show where Ying Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Jin, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 97 | |
| 2 | 2018 | 74 | |
| 3 | Transferable Normalization: Towards Improving Transferability of Deep Neural Networks | 2019 | 71 |
| 4 | 2010 | 71 | |
| 5 | 2009 | 37 | |
| 6 | 2021 | 27 | |
| 7 | 2017 | 23 | |
| 8 | 2020 | 22 | |
| 9 | 2007 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2012 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2015 | 14 | |
| 15 | 2010 | 12 | |
| 16 | 2007 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2009 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2021 | 7 |
About Ying Jin
Ying Jin is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 59 papers that have together received 679 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (12 papers), Robotic Path Planning Algorithms (10 papers), UAV Applications and Optimization (8 papers), Distributed Control Multi-Agent Systems (8 papers), Stroke Rehabilitation and Recovery (7 papers), Guidance and Control Systems (5 papers), Muscle activation and electromyography studies (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Polymers and Plastics (132 citations), Computer Vision and Pattern Recognition (142 citations), Rehabilitation (41 citations), Biomaterials (71 citations) and Control and Systems Engineering (118 citations). Ying Jin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhaohui Su, Jun Fu, Ziquan Yu, Youmin Zhang, Young Jong Lee, Bin Jiang, Jianmin Wang, Mingsheng Long, Xiaohui Liu and Ximei Wang. Their work appears in journals such as Macromolecules, The Journal of Strength and Conditioning Research, Polymer Chemistry, RSC Advances and Journal of Applied Polymer Science.
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.