Yongjun Qi
Impact in
Papers in
-
- Optical Systems and Laser Technology 4
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- Adaptive optics and wavefront sensing 7
- Co-authors
- Junhua Gu (2 shared papers)Kunming Li (1 shared paper)Xuepeng Ni (1 shared paper)Li Wang (1 shared paper)Anqi Ju (1 shared paper)Chunhui Li (1 shared paper)Yajuan Zhang (5 shared papers)Xiangyan Yuan (2 shared papers)
- Journals
- IEEE Access (2 papers)Alexandria Engineering Journal (1 paper)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)Measurement (1 paper)Sensors (1 paper)
- Partner nations
- ChinaMongoliaUnited Kingdom
In The Last Decade
Yongjun Qi
21 papers receiving 83 citations
Peers
Comparison fields: 5 of 38
- Instrumentation 5
- Computer Vision and Pattern Recognition 16
- Electronic, Optical and Magnetic Materials 14
- Automotive Engineering 9
- Radiology, Nuclear Medicine and Imaging 14
Countries citing papers authored by Yongjun Qi
This map shows the geographic impact of Yongjun Qi'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 Yongjun Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongjun Qi more than expected).
Fields of papers citing papers by Yongjun Qi
This network shows the impact of papers produced by Yongjun Qi. 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 Yongjun Qi. The network helps show where Yongjun Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yongjun Qi, 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 | 2022 | 20 | |
| 2 | 2020 | 13 | |
| 3 | 2014 | 11 | |
| 4 | 2024 | 6 | |
| 5 | 2019 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2006 | 4 | |
| 8 | 2020 | 3 | |
| 9 | 2007 | 2 | |
| 10 | 2007 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2005 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2008 | 1 | |
| 18 | 2006 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2020 | 1 |
About Yongjun Qi
Yongjun Qi is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Biomedical Engineering and Automotive Engineering, having authored 22 papers that have together received 84 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (7 papers), Advanced optical system design (4 papers), Optical Systems and Laser Technology (4 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Industrial Vision Systems and Defect Detection (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Measurement and Metrology Techniques (2 papers). The work is most often cited by research in Instrumentation (5 citations), Computer Vision and Pattern Recognition (16 citations), Electronic, Optical and Magnetic Materials (14 citations), Automotive Engineering (9 citations) and Radiology, Nuclear Medicine and Imaging (14 citations). Yongjun Qi has collaborated with scholars based in China, Mongolia and United Kingdom. Frequent co-authors include Junhua Gu, Kunming Li, Xuepeng Ni, Li Wang, Anqi Ju, Chunhui Li, Yajuan Zhang, Xiangyan Yuan, Junhua Gu and Yuan Jiang. Their work appears in journals such as IEEE Access, Alexandria Engineering Journal, Colloids and Surfaces A Physicochemical and Engineering Aspects, Measurement and Sensors.
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.