Sijia Chen
Impact in
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- Image and Video Quality Assessment
- Visual Attention and Saliency Detection
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Data Compression Techniques
Papers in
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- Advanced Vision and Imaging 5
- Multimodal Machine Learning Applications 3
- Image and Video Quality Assessment 3
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- Privacy-Preserving Technologies in Data 4
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Baochun Li (3 shared papers)Zhenzhong Chen (2 shared papers)Zhou Wang (1 shared paper)Yingxue Zhang (1 shared paper)Yiming Li (1 shared paper)Lu Yu (3 shared papers)Jianhong Yang (2 shared papers)Bin Song (5 shared papers)
- Journals
- IEEE Access (2 papers)PLoS ONE (2 papers)Journal of Integrative Neuroscience (1 paper)Autophagy (1 paper)Signal Processing Image Communication (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Sijia Chen
46 papers receiving 524 citations
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 197
- Biological Psychiatry 22
- Signal Processing 79
- Media Technology 39
- Neurology 33
Countries citing papers authored by Sijia Chen
This map shows the geographic impact of Sijia Chen'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 Sijia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijia Chen more than expected).
Fields of papers citing papers by Sijia Chen
This network shows the impact of papers produced by Sijia Chen. 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 Sijia Chen. The network helps show where Sijia Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sijia Chen, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2017 | 37 | |
| 3 | 2022 | 37 | |
| 4 | 2009 | 36 | |
| 5 | 2022 | 32 | |
| 6 | 2019 | 30 | |
| 7 | 2020 | 25 | |
| 8 | 2023 | 22 | |
| 9 | 2016 | 21 | |
| 10 | 2020 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 15 | |
| 13 | 2016 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2024 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2019 | 9 | |
| 19 | 2023 | 7 | |
| 20 | 2008 | 7 |
About Sijia Chen
Sijia Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Neurology and Molecular Biology, having authored 51 papers that have together received 530 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Video Coding and Compression Technologies (4 papers), Privacy-Preserving Technologies in Data (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Multimodal Machine Learning Applications (3 papers), Neuroendocrine regulation and behavior (3 papers) and Image and Video Quality Assessment (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (197 citations), Biological Psychiatry (22 citations), Signal Processing (79 citations), Media Technology (39 citations) and Neurology (33 citations). Sijia Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Baochun Li, Zhenzhong Chen, Zhou Wang, Yingxue Zhang, Yiming Li, Lu Yu, Jianhong Yang, Bin Song, Shan Liu and Jie Guo. Their work appears in journals such as IEEE Access, PLoS ONE, Journal of Integrative Neuroscience, Autophagy and Signal Processing Image Communication.
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.