Jihan Yang
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 5
- Human Pose and Action Recognition 2
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- Domain Adaptation and Few-Shot Learning 7
- Co-authors
- Guanbin Li (3 shared papers)Liang Lin (3 shared papers)Xiaojuan Qi (8 shared papers)Ruijia Xu (2 shared papers)Ruifei He (2 shared papers)Hongsheng Li (2 shared papers)Shaoshuai Shi (2 shared papers)Zhe Wang (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Jihan Yang
12 papers receiving 739 citations
Jihan Yang's Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 529
- Artificial Intelligence 491
- Geology 31
- Computer Graphics and Computer-Aided Design 16
- Media Technology 35
Countries citing papers authored by Jihan Yang
This map shows the geographic impact of Jihan 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 Jihan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jihan Yang more than expected).
Fields of papers citing papers by Jihan Yang
This network shows the impact of papers produced by Jihan 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 Jihan Yang. The network helps show where Jihan Yang may publish in the future.
Co-authors
The 24 scholars most cited alongside Jihan 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 | Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation Hit paper breakdown → | 2019 | 323 |
| 2 | 2021 | 129 | |
| 3 | 2021 | 92 | |
| 4 | 2020 | 59 | |
| 5 | 2023 | 44 | |
| 6 | 2022 | 37 | |
| 7 | 2022 | 24 | |
| 8 | 2024 | 15 | |
| 9 | 2005 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 5 | |
| 12 | Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach. | 2018 | 4 |
| 13 | 2024 | 0 |
About Jihan Yang
Jihan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Geology, having authored 13 papers that have together received 747 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (5 papers), COVID-19 diagnosis using AI (3 papers), Human Pose and Action Recognition (2 papers), 3D Surveying and Cultural Heritage (2 papers), 3D Shape Modeling and Analysis (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (529 citations), Artificial Intelligence (491 citations), Geology (31 citations), Computer Graphics and Computer-Aided Design (16 citations) and Media Technology (35 citations). Jihan Yang has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Guanbin Li, Liang Lin, Xiaojuan Qi, Ruijia Xu, Ruifei He, Hongsheng Li, Shaoshuai Shi, Zhe Wang, Song Bai and Chuhui Xue. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.