Xiaokai Yi
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Digital Media Forensic Detection
- Advanced Vision and Imaging
- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Signal Processing top 5%
- Video Coding and Compression Technologies
Papers in
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- Advanced Image Processing Techniques 4
- Image and Video Quality Assessment 3
- Advanced Data Compression Techniques 3
- Advanced Vision and Imaging 2
- Image Processing and 3D Reconstruction 1
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- Video Coding and Compression Technologies 5
- Co-authors
- Zhaoqing Pan (6 shared papers)Asifullah Khan (3 shared papers)Yuhui Zheng (3 shared papers)Yuan Feng (1 shared paper)Weijie Yu (1 shared paper)Sam Kwong (4 shared papers)Yun Zhang (3 shared papers)Byeungwoo Jeon (1 shared paper)
In The Last Decade
Xiaokai Yi
11 papers receiving 634 citations
Xiaokai Yi's Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 363
- Signal Processing 109
- Health Informatics 11
- Artificial Intelligence 201
- Media Technology 39
Countries citing papers authored by Xiaokai Yi
This map shows the geographic impact of Xiaokai Yi'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 Xiaokai Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaokai Yi more than expected).
Fields of papers citing papers by Xiaokai Yi
This network shows the impact of papers produced by Xiaokai Yi. 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 Xiaokai Yi. The network helps show where Xiaokai Yi may publish in the future.
Co-authors
The 18 scholars most cited alongside Xiaokai Yi, 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 | Recent Progress on Generative Adversarial Networks (GANs): A Survey Hit paper breakdown → | 2019 | 422 |
| 2 | 2020 | 69 | |
| 3 | 2018 | 38 | |
| 4 | 2022 | 38 | |
| 5 | 2018 | 32 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2016 | 6 | |
| 10 | 2019 | 4 | |
| 11 | 2024 | 1 |
About Xiaokai Yi
Xiaokai Yi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Media Technology, having authored 11 papers that have together received 662 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (5 papers), Advanced Image Processing Techniques (4 papers), Image and Video Quality Assessment (3 papers), Advanced Data Compression Techniques (3 papers), Advanced Vision and Imaging (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (363 citations), Signal Processing (109 citations), Health Informatics (11 citations), Artificial Intelligence (201 citations) and Media Technology (39 citations). Xiaokai Yi has collaborated with scholars based in China, Hong Kong and Pakistan. Frequent co-authors include Zhaoqing Pan, Asifullah Khan, Yuhui Zheng, Yuan Feng, Weijie Yu, Sam Kwong, Yun Zhang, Byeungwoo Jeon, Liming Chen and C.‐C. Jay Kuo. Their work appears in journals such as International Journal of Sensor Networks, Displays, IEEE Transactions on Image Processing, Multimedia Tools and Applications and IEEE Access.
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.