Peihan Miao
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Computer Networks and Communications
- Sociology and Political Science
- Co-authors
- Shashank AgrawalPayman MohasselPratyay MukherjeeWei SuXi LiGaoang WangSaikrishna BadrinarayananQiao Liang
- Topics
- Multimodal Machine Learning Applications (6 papers)Domain Adaptation and Few-Shot Learning (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Neural Systems and Rehabilitation EngineeringDiscrete Applied Mathematics
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Peihan Miao
11 papers receiving 97 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 50
- Computer Vision and Pattern Recognition 37
- Information Systems 29
- Computer Networks and Communications 18
- Sociology and Political Science 8
Countries citing papers authored by Peihan Miao
This map shows the geographic impact of Peihan Miao'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 Peihan Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peihan Miao more than expected).
Fields of papers citing papers by Peihan Miao
This network shows the impact of papers produced by Peihan Miao. 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 Peihan Miao. The network helps show where Peihan Miao may publish in the future.
Co-authorship network of co-authors of Peihan Miao
This figure shows the co-authorship network connecting the top 25 collaborators of Peihan Miao. A scholar is included among the top collaborators of Peihan Miao 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 Peihan Miao. Peihan Miao 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 | 4 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 32 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 1 |
About Peihan Miao
Peihan Miao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 14 papers that have together received 97 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (7 citations), Computer Vision and Pattern Recognition (37 citations) and Artificial Intelligence (50 citations). Peihan Miao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shashank Agrawal, Payman Mohassel, Pratyay Mukherjee, Wei Su, Xi Li, Gaoang Wang, Saikrishna Badrinarayanan, Qiao Liang, Zheyang Li and Xi Li. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Discrete Applied Mathematics.
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.