Jiayan Qiu
Impact in
-
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Graph Theory and Algorithms
- Human Pose and Action Recognition
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 2
- Face recognition and analysis 1
-
- Advanced Computational Techniques and Applications 1
- Co-authors
- Dacheng Tao (5 shared papers)Xinchao Wang (4 shared papers)Yiding Yang (2 shared papers)Mingli Song (1 shared paper)Chao Xu (1 shared paper)Chang Xu (1 shared paper)Yunhe Wang (1 shared paper)Stephen J. Maybank (1 shared paper)
- Journals
- IEEE Transactions on Consumer Electronics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Chalmers Research (Chalmers University of Technology) (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Jiayan Qiu
10 papers receiving 215 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 147
- Artificial Intelligence 135
- Computational Mathematics 1
- Fuel Technology 1
- Media Technology 11
Countries citing papers authored by Jiayan Qiu
This map shows the geographic impact of Jiayan Qiu'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 Jiayan Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayan Qiu more than expected).
Fields of papers citing papers by Jiayan Qiu
This network shows the impact of papers produced by Jiayan Qiu. 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 Jiayan Qiu. The network helps show where Jiayan Qiu may publish in the future.
Co-authors
The 23 scholars most cited alongside Jiayan Qiu, 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 | 2020 | 144 | |
| 2 | 2018 | 28 | |
| 3 | 2021 | 16 | |
| 4 | 2019 | 13 | |
| 5 | 2019 | 6 | |
| 6 | 2021 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2015 | 2 | |
| 9 | Prediction of the caloric value of the coal by artificial neural network | 2006 | 1 |
| 10 | 2015 | 1 | |
| 11 | 2025 | 0 |
About Jiayan Qiu
Jiayan Qiu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mechanics and Computer Networks and Communications, having authored 11 papers that have together received 216 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Time Series Analysis and Forecasting (1 paper), 3D Shape Modeling and Analysis (1 paper), Advanced Computational Techniques and Applications (1 paper), Face recognition and analysis (1 paper) and Advanced Algorithms and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Artificial Intelligence (135 citations), Computational Mathematics (1 citation), Fuel Technology (1 citation) and Media Technology (11 citations). Jiayan Qiu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Dacheng Tao, Xinchao Wang, Yiding Yang, Mingli Song, Chao Xu, Chang Xu, Yunhe Wang, Stephen J. Maybank, Pascal Fua and José M. Alvarez. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chalmers Research (Chalmers University of Technology).
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.