Yang Yang
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques 148
- Multimodal Machine Learning Applications 146
- Human Pose and Action Recognition 59
- Image Retrieval and Classification Techniques 52
- Video Surveillance and Tracking Methods 36
- Video Analysis and Summarization 34
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning 97
- Anomaly Detection Techniques and Applications 36
- Media Technology top 0.5%
- Signal Processing top 1%
- Human-Computer Interaction top 1%
Yang Yang
452 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 7.4k
- Artificial Intelligence 4.3k
- Media Technology 517
- Signal Processing 576
- Human-Computer Interaction 248
Countries citing papers authored by Yang Yang
This map shows the geographic impact of Yang 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 Yang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Yang more than expected).
Fields of papers citing papers by Yang Yang
This network shows the impact of papers produced by Yang 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 Yang Yang. The network helps show where Yang Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yang 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 | 2025 | 2 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 54 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 13 | |
| 19 | 2023 | 23 | |
| 20 | 2019 | 166 |
About Yang Yang
Yang Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Human-Computer Interaction, having authored 499 papers that have together received 10.9k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (148 papers), Multimodal Machine Learning Applications (146 papers), Domain Adaptation and Few-Shot Learning (97 papers), Human Pose and Action Recognition (59 papers), Image Retrieval and Classification Techniques (52 papers), Video Surveillance and Tracking Methods (36 papers), Anomaly Detection Techniques and Applications (36 papers) and Video Analysis and Summarization (34 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.4k citations), Artificial Intelligence (4.3k citations), Media Technology (517 citations), Signal Processing (576 citations) and Human-Computer Interaction (248 citations). Yang Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Heng Tao Shen, Fumin Shen, Xing Xu, Zi Huang, Alan Hanjalić, Xuelong Li, Yanli Ji, Jingjing Li, Jingkuan Song and Tat‐Seng Chua. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Knowledge and Data Engineering and Pattern Recognition.
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.