Ruihan Zhao
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Neurology
- Biomedical Engineering
- Co-authors
- Chenyu YouLawrence H. StaibJames S. DuncanYuan ZhouLiang LuoLianyi HanSichen TaoPieter Abbeel
- Topics
- Robot Manipulation and Learning (3 papers)Manufacturing Process and Optimization (3 papers)Domain Adaptation and Few-Shot Learning (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ruihan Zhao
16 papers receiving 350 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 217
- Radiology, Nuclear Medicine and Imaging 131
- Artificial Intelligence 130
- Neurology 57
- Biomedical Engineering 50
Countries citing papers authored by Ruihan Zhao
This map shows the geographic impact of Ruihan Zhao'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 Ruihan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruihan Zhao more than expected).
Fields of papers citing papers by Ruihan Zhao
This network shows the impact of papers produced by Ruihan Zhao. 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 Ruihan Zhao. The network helps show where Ruihan Zhao may publish in the future.
Co-authorship network of co-authors of Ruihan Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Ruihan Zhao. A scholar is included among the top collaborators of Ruihan Zhao 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 Ruihan Zhao. Ruihan Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentationbreakdown → | 213 |
| 14 | 92 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 12 | |
| 19 | 5 | |
| 20 | 4 |
About Ruihan Zhao
Ruihan Zhao is a scholar working on Library and Information Sciences, Industrial and Manufacturing Engineering and Conservation, having authored 21 papers that have together received 353 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (3 papers), Manufacturing Process and Optimization (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Neurology (57 citations) and Radiology, Nuclear Medicine and Imaging (131 citations). Ruihan Zhao has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chenyu You, Lawrence H. Staib, James S. Duncan, Yuan Zhou, James S. Duncan, Liang Luo, Lianyi Han, Sichen Tao, Pieter Abbeel and Hui Tang. Their work appears in journals such as Journal of Hazardous Materials, IEEE Transactions on Medical Imaging and Knowledge-Based Systems.
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.