Qize Yang
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Face recognition and analysis
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Video Surveillance and Tracking Methods 8
- Advanced Neural Network Applications 4
- Human Pose and Action Recognition 1
- Multimodal Machine Learning Applications 1
- Generative Adversarial Networks and Image Synthesis 1
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- Human Motion and Animation 1
- Co-authors
- Wei‐Shi Zheng (13 shared papers)Ancong Wu (4 shared papers)Hong-Xing Yu (1 shared paper)Ying-Cong Chen (1 shared paper)Qi Tian (1 shared paper)Biao Wang (1 shared paper)Xian‐Sheng Hua (1 shared paper)Lei Zhang (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (3 papers)IEEE International Conference on Multimedia and Expo (ICME) (1 paper)ACM International Conference on Multimedia (ACM MM) (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Qize Yang
13 papers receiving 821 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 762
- Artificial Intelligence 90
- Media Technology 12
- Signal Processing 6
- Biomedical Engineering 20
Countries citing papers authored by Qize Yang
This map shows the geographic impact of Qize Yang'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 Qize Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qize Yang more than expected).
Fields of papers citing papers by Qize Yang
This network shows the impact of papers produced by Qize Yang. 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 Qize Yang. The network helps show where Qize Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qize Yang, 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 | 207 | |
| 2 | 2019 | 206 | |
| 3 | 2020 | 190 | |
| 4 | 2021 | 123 | |
| 5 | 2021 | 32 | |
| 6 | 2023 | 27 | |
| 7 | 2020 | 16 | |
| 8 | 2025 | 13 | |
| 9 | 2019 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2026 | 0 |
About Qize Yang
Qize Yang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 832 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (4 papers), Human Pose and Action Recognition (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Multimodal Machine Learning Applications (1 paper), Human Motion and Animation (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (762 citations), Artificial Intelligence (90 citations), Media Technology (12 citations), Signal Processing (6 citations) and Biomedical Engineering (20 citations). Qize Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wei‐Shi Zheng, Ancong Wu, Hong-Xing Yu, Ying-Cong Chen, Qi Tian, Biao Wang, Xian‐Sheng Hua, Lei Zhang, Jiaxing Chen and Qi Chuan Tian. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, IEEE International Conference on Multimedia and Expo (ICME) and ACM International Conference on Multimedia (ACM MM).
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.