Dazhe Zhao
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine top 10%
- Neurology top 5%
- Topics
- Medical Image Segmentation Techniques (44 papers)Radiomics and Machine Learning in Medical Imaging (21 papers)Lung Cancer Diagnosis and Treatment (16 papers)
- Cited by
- Computational MathematicsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Dazhe Zhao
137 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 643
- Computer Vision and Pattern Recognition 463
- Artificial Intelligence 423
- Pulmonary and Respiratory Medicine 283
- Neurology 155
Countries citing papers authored by Dazhe Zhao
This map shows the geographic impact of Dazhe 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 Dazhe Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dazhe Zhao more than expected).
Fields of papers citing papers by Dazhe Zhao
This network shows the impact of papers produced by Dazhe 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 Dazhe Zhao. The network helps show where Dazhe Zhao may publish in the future.
Co-authorship network of co-authors of Dazhe Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Dazhe Zhao. A scholar is included among the top collaborators of Dazhe 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 Dazhe Zhao. Dazhe 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 | 2 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 19 | |
| 15 | 7 | |
| 16 | Hand Gesture Tracking Method Based on Kalman Filter and Skin Color Feature | 3 |
| 17 | 34 | |
| 18 | Extraction of Suspected Nodular Lung Lesions Based on Multiscale Morphology Filtering in Thoracic CT Images | 2 |
| 19 | Security Architecture of 3GPP UMTS Core Network | 1 |
| 20 | Lung Nodules Detection Algorithm Based on Optimal Level Sets Method for CT Images | 2 |
About Dazhe Zhao
Dazhe Zhao is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 146 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (44 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Lung Cancer Diagnosis and Treatment (16 papers). The work is most often cited by research in Computational Mathematics (19 citations), Radiology, Nuclear Medicine and Imaging (643 citations) and Computer Vision and Pattern Recognition (463 citations). Dazhe Zhao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Chaolu Feng, Min Huang, Jinzhu Yang, Osmar R. Zaı̈ane, Peng Cao, Peng Cao, Xiaoli Liu, Junbo Wang, Wei Li and Wei Li. Their work appears in journals such as Scientific Reports, IEEE Access 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.