Jian Qin
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 10%
- Control and Systems Engineering
- Rehabilitation top 10%
- Co-authors
- Xiaoping ZengYongming LiChunbao WangLihong DuanZhengzhi WuWeiguang LiMeiling HuangYulong Wang
- Topics
- Stroke Rehabilitation and Recovery (8 papers)Prosthetics and Rehabilitation Robotics (7 papers)Muscle activation and electromyography studies (5 papers)
In The Last Decade
Jian Qin
31 papers receiving 276 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 83
- Biomedical Engineering 72
- Industrial and Manufacturing Engineering 55
- Control and Systems Engineering 50
- Rehabilitation 45
Countries citing papers authored by Jian Qin
This map shows the geographic impact of Jian Qin'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 Jian Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Qin more than expected).
Fields of papers citing papers by Jian Qin
This network shows the impact of papers produced by Jian Qin. 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 Jian Qin. The network helps show where Jian Qin may publish in the future.
Co-authorship network of co-authors of Jian Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Qin. A scholar is included among the top collaborators of Jian Qin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian Qin. Jian Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | A Detection Algorithm for Dim and Small Infrared Target Based on the Classification of the Background | 1 |
| 19 | Identification and Justification of Dirty Electric Load Data Based on Modified ART2 Network | 2 |
| 20 | Research on predicting network traffic using neural networks | 2 |
About Jian Qin
Jian Qin is a scholar working on Rehabilitation, Energy Engineering and Power Technology and Orthopedics and Sports Medicine, having authored 40 papers that have together received 284 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (8 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Muscle activation and electromyography studies (5 papers). The work is most often cited by research in Rehabilitation (45 citations), Industrial and Manufacturing Engineering (55 citations) and Computer Vision and Pattern Recognition (83 citations). Jian Qin has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Xiaoping Zeng, Yongming Li, Chunbao Wang, Lihong Duan, Zhengzhi Wu, Weiguang Li, Meiling Huang, Yulong Wang, Jianjun Long and Zhongqiu Li. Their work appears in journals such as Sensors, Journal of Materials Processing Technology and Neurocomputing.
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.