Zuoxin Li
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image Processing Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Advanced Vision and Imaging 3
- Image and Object Detection Techniques 2
- Advanced Image Processing Techniques 2
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- Anomaly Detection Techniques and Applications 2
- AI in cancer detection 1
- Co-authors
- Fuqiang Zhou (6 shared papers)Wangxia Zuo (3 shared papers)Lin Wang (1 shared paper)Lin Wang (2 shared papers)Haishu Tan (2 shared papers)Xiaojie Li (2 shared papers)Juan Li (2 shared papers)Guangshuai Liu (3 shared papers)
- Journals
- Neural Processing Letters (1 paper)Neurocomputing (1 paper)IEEE Access (1 paper)Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit (1 paper)Sensors (1 paper)
- Partner nations
- China
In The Last Decade
Zuoxin Li
8 papers receiving 193 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 79
- Radiology, Nuclear Medicine and Imaging 62
- Artificial Intelligence 97
- Computer Networks and Communications 44
- Pulmonary and Respiratory Medicine 52
Countries citing papers authored by Zuoxin Li
This map shows the geographic impact of Zuoxin Li'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 Zuoxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuoxin Li more than expected).
Fields of papers citing papers by Zuoxin Li
This network shows the impact of papers produced by Zuoxin Li. 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 Zuoxin Li. The network helps show where Zuoxin Li may publish in the future.
Co-authors
The 11 scholars most cited alongside Zuoxin Li, 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 | 2019 | 80 | |
| 2 | 2018 | 62 | |
| 3 | 2018 | 26 | |
| 4 | 2019 | 15 | |
| 5 | 2019 | 7 | |
| 6 | 2018 | 6 | |
| 7 | 2022 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 |
About Zuoxin Li
Zuoxin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Computational Mechanics and Media Technology, having authored 9 papers that have together received 199 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Network Security and Intrusion Detection (2 papers), Image and Object Detection Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image Processing Techniques (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), AI in cancer detection (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (79 citations), Radiology, Nuclear Medicine and Imaging (62 citations), Artificial Intelligence (97 citations), Computer Networks and Communications (44 citations) and Pulmonary and Respiratory Medicine (52 citations). Zuoxin Li has collaborated with scholars based in China. Frequent co-authors include Fuqiang Zhou, Wangxia Zuo, Lin Wang, Lin Wang, Haishu Tan, Xiaojie Li, Juan Li, Guangshuai Liu, Xurui Li and Lu Yang. Their work appears in journals such as Neural Processing Letters, Neurocomputing, IEEE Access, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit 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.