Pei Yang
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Domain Adaptation and Few-Shot Learning 16
- Text and Document Classification Technologies 9
- Topic Modeling 7
- Machine Learning and ELM 6
-
- Face and Expression Recognition 12
- Multimodal Machine Learning Applications 5
- Co-authors
- Limei Han (3 shared papers)Jianxin Wang (3 shared papers)Jing Qin (3 shared papers)Jianyong Sheng (2 shared papers)Ruixiang Li (2 shared papers)Chunlin Chen (4 shared papers)Wei Gao (4 shared papers)Guihua Wen (19 shared papers)
- Journals
- Pattern Recognition (4 papers)IEEE Transactions on Multimedia (3 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)Scientific Reports (2 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Pei Yang
104 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 152
- Pharmaceutical Science 225
- Biomaterials 180
- Health Informatics 18
- Computational Mathematics 8
- Computer Vision and Pattern Recognition 276
Countries citing papers authored by Pei Yang
This map shows the geographic impact of Pei 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 Pei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Yang more than expected).
Fields of papers citing papers by Pei Yang
This network shows the impact of papers produced by Pei 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 Pei Yang. The network helps show where Pei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei 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
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 201 | |
| 2 | 2016 | 128 | |
| 3 | 2016 | 128 | |
| 4 | 2014 | 88 | |
| 5 | 2019 | 74 | |
| 6 | 2020 | 64 | |
| 7 | 2016 | 47 | |
| 8 | 2022 | 42 | |
| 9 | Multi-view discriminant transfer learning | 2013 | 39 |
| 10 | 2022 | 35 | |
| 11 | 2020 | 34 | |
| 12 | 2014 | 31 | |
| 13 | 2022 | 27 | |
| 14 | 2021 | 25 | |
| 15 | 2022 | 22 | |
| 16 | 2017 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2008 | 17 |
About Pei Yang
Pei Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Electrical and Electronic Engineering, having authored 118 papers that have together received 1.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (16 papers), Face and Expression Recognition (12 papers), Text and Document Classification Technologies (9 papers), Topic Modeling (7 papers), Machine Learning and ELM (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Complex Network Analysis Techniques (5 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Pharmaceutical Science (225 citations), Biomaterials (180 citations), Health Informatics (18 citations), Computational Mathematics (8 citations) and Computer Vision and Pattern Recognition (276 citations). Pei Yang has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Limei Han, Jianxin Wang, Jing Qin, Jianyong Sheng, Ruixiang Li, Chunlin Chen, Wei Gao, Guihua Wen, Jingrui He and Lihong Wu. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, Scientific Reports and ACM Transactions on Knowledge Discovery from Data.
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.