Kai Yi
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
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- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Multimodal Machine Learning Applications 4
- Digital Media Forensic Detection 3
- Advanced Steganography and Watermarking Techniques 2
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- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 2
- AI in cancer detection 2
- Co-authors
- Mohamed Elhoseiny (4 shared papers)Boyang Li (2 shared papers)Han Guo (2 shared papers)Jun Chen (1 shared paper)Liang Hong (2 shared papers)Lirong Zheng (2 shared papers)Josef Dick (1 shared paper)Yu Guang Wang (3 shared papers)
- Journals
- Cell Discovery (1 paper)Physical Chemistry Chemical Physics (1 paper)Medicine (1 paper)Acta Mechanica Sinica (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Kai Yi
23 papers receiving 237 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 113
- Artificial Intelligence 98
- Health Informatics 2
- Radiology, Nuclear Medicine and Imaging 27
- Business and International Management 2
Countries citing papers authored by Kai Yi
This map shows the geographic impact of Kai 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 Kai Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yi more than expected).
Fields of papers citing papers by Kai Yi
This network shows the impact of papers produced by Kai 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 Kai Yi. The network helps show where Kai Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 119 | |
| 2 | 2024 | 21 | |
| 3 | 2020 | 18 | |
| 4 | 2024 | 16 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 6 | |
| 7 | An Image Encryption Algorithm Based on Chaotic Sequences | 2000 | 6 |
| 8 | 2023 | 6 | |
| 9 | VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining | 2021 | 5 |
| 10 | 2023 | 5 | |
| 11 | Knowledge-based Recurrent Attentive Neural Network for Small Object Detection | 2018 | 4 |
| 12 | 2024 | 4 | |
| 13 | 2025 | 4 | |
| 14 | Adaptive 2-Dimension Image Watermarking Algorithm | 2001 | 4 |
| 15 | 2020 | 3 | |
| 16 | 2025 | 2 | |
| 17 | Digital Watermarking Techniques: An Introductory Review | 2001 | 2 |
| 18 | 2021 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Kai Yi
Kai Yi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry, Molecular Biology and Mechanics of Materials, having authored 25 papers that have together received 241 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers), Digital Media Forensic Detection (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), High-Velocity Impact and Material Behavior (2 papers), RNA and protein synthesis mechanisms (2 papers), Topic Modeling (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Artificial Intelligence (98 citations), Health Informatics (2 citations), Radiology, Nuclear Medicine and Imaging (27 citations) and Business and International Management (2 citations). Kai Yi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mohamed Elhoseiny, Boyang Li, Han Guo, Jun Chen, Liang Hong, Lirong Zheng, Josef Dick, Yu Guang Wang, Jingjing You and Chris Hodge. Their work appears in journals such as Cell Discovery, Physical Chemistry Chemical Physics, Medicine, Acta Mechanica Sinica 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.