Yu Yin
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Biomedical Engineering
- Cognitive Neuroscience
- Cardiology and Cardiovascular Medicine
- Co-authors
- Yun FuJoseph P. RobinsonSarah OstadabbasSongyao JiangJolie B. WormwoodLisa Feldman BarrettKaren S. QuigleyQi Wang
- Topics
- Face recognition and analysis (5 papers)Advanced Image Processing Techniques (3 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingExperimental and Cognitive Psychology
- Journals
- Journal of Agricultural and Food ChemistryIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Yu Yin
31 papers receiving 317 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 148
- Signal Processing 65
- Biomedical Engineering 48
- Cognitive Neuroscience 36
- Cardiology and Cardiovascular Medicine 32
Countries citing papers authored by Yu Yin
This map shows the geographic impact of Yu Yin'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 Yu Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Yin more than expected).
Fields of papers citing papers by Yu Yin
This network shows the impact of papers produced by Yu Yin. 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 Yu Yin. The network helps show where Yu Yin may publish in the future.
Co-authorship network of co-authors of Yu Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Yin. A scholar is included among the top collaborators of Yu Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Yin. Yu Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | Opposite Structure Learning for Semi-supervised Domain Adaptation | 10 |
| 11 | 1 | |
| 12 | 47 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 51 | |
| 16 | Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience | 1 |
| 17 | 12 | |
| 18 | Knowledge Acquisition Methods for Multi-Label Decision System Based on Rough Sets | 3 |
| 19 | What is the graphene——Introducing the Nobel Prize in physics 2010 | 1 |
| 20 | 19 |
About Yu Yin
Yu Yin is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 34 papers that have together received 325 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), Advanced Image Processing Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Signal Processing (65 citations) and Experimental and Cognitive Psychology (29 citations). Yu Yin has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Yun Fu, Joseph P. Robinson, Sarah Ostadabbas, Songyao Jiang, Jolie B. Wormwood, Lisa Feldman Barrett, Karen S. Quigley, Qi Wang, Mingqi Li and Xiangde Zhang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.