Yu Qin
Impact in
- Instrumentation top 10%
- Advanced Optical Sensing Technologies
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Analysis and Summarization
Papers in
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- Advanced Machining and Optimization Techniques 3
- Advanced MEMS and NEMS Technologies 3
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- Natural Language Processing Techniques 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Yonghua Zhang (1 shared paper)Jiajun Du (1 shared paper)Hongtao Lu (1 shared paper)Junjian Huang (2 shared papers)Yu Zhou (1 shared paper)Di Wu (1 shared paper)Yongxiang Hu (1 shared paper)Yan‐Jun Liu (1 shared paper)
- Journals
- IEEE Access (2 papers)Journal of Manufacturing Processes (1 paper)Microsystem Technologies (1 paper)Tsinghua Science & Technology (1 paper)Neural Processing Letters (1 paper)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Yu Qin
18 papers receiving 323 citations
Peers
Comparison fields: 5 of 65
- Instrumentation 41
- Computer Vision and Pattern Recognition 127
- Biophysics 13
- Acoustics and Ultrasonics 2
- Artificial Intelligence 76
Countries citing papers authored by Yu Qin
This map shows the geographic impact of Yu 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 Yu Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Qin more than expected).
Fields of papers citing papers by Yu Qin
This network shows the impact of papers produced by Yu 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 Yu Qin. The network helps show where Yu Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Qin, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 109 | |
| 2 | 2022 | 45 | |
| 3 | 2021 | 43 | |
| 4 | 2016 | 36 | |
| 5 | 2019 | 28 | |
| 6 | 2018 | 18 | |
| 7 | 2019 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2019 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2020 | 2 | |
| 15 | Comparing Distance Metrics on Vectorized Persistence Summaries | 2020 | 2 |
| 16 | 2010 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2023 | 1 | |
| 19 | Improving the business performance of an SME in the UK through strategic quality management | 2003 | 1 |
| 20 | The use of IT in life and health insurance product development | 2020 | 0 |
About Yu Qin
Yu Qin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 331 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (3 papers), Advanced Machining and Optimization Techniques (3 papers), Advanced MEMS and NEMS Technologies (3 papers), Advanced machining processes and optimization (3 papers), Chaos control and synchronization (2 papers), Natural Language Processing Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Instrumentation (41 citations), Computer Vision and Pattern Recognition (127 citations), Biophysics (13 citations), Acoustics and Ultrasonics (2 citations) and Artificial Intelligence (76 citations). Yu Qin has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Yonghua Zhang, Jiajun Du, Hongtao Lu, Junjian Huang, Yu Zhou, Di Wu, Yongxiang Hu, Yan‐Jun Liu, Zhijie Ma and Chao Zhang. Their work appears in journals such as IEEE Access, Journal of Manufacturing Processes, Microsystem Technologies, Tsinghua Science & Technology and Neural Processing Letters.
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.