Chunxia Zhao
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology
- Artificial Intelligence top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 10%
- Topics
- Advanced Image and Video Retrieval Techniques (27 papers)Image Retrieval and Classification Techniques (25 papers)Robotics and Sensor-Based Localization (22 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyCardiology and Cardiovascular Medicine
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chunxia Zhao
212 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 180
- Computer Vision and Pattern Recognition 914
- Molecular Biology 600
- Artificial Intelligence 512
- Cardiology and Cardiovascular Medicine 429
- Cancer Research 245
Countries citing papers authored by Chunxia Zhao
This map shows the geographic impact of Chunxia 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 Chunxia Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunxia Zhao more than expected).
Fields of papers citing papers by Chunxia Zhao
This network shows the impact of papers produced by Chunxia 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 Chunxia Zhao. The network helps show where Chunxia Zhao may publish in the future.
Co-authorship network of co-authors of Chunxia Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Chunxia Zhao. A scholar is included among the top collaborators of Chunxia 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 Chunxia Zhao. Chunxia 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 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 69 | |
| 13 | 1 | |
| 14 | Dynamic Joint Nearest Neighbor Algorithm | 2 |
| 15 | SLAM Algorithm Framework of Mobile Robot Based on Probability | 3 |
| 16 | An Optimized Data Association Solution for SLAM | 4 |
| 17 | Ladder Particle Swarm Optimization and Application in Function Optimization | 2 |
| 18 | [Association between mutation of phospholamban gene and dilated cardiomyopathy]. | 1 |
| 19 | [Allelic loss and down-regulation of FHIT gene expression in esophageal squamous cell carcinoma]. | 3 |
| 20 | Recent Advances in Single Nucleotide Polymorphism of Human Genome Research | 1 |
About Chunxia Zhao
Chunxia Zhao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Instrumentation, having authored 233 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (27 papers), Image Retrieval and Classification Techniques (25 papers) and Robotics and Sensor-Based Localization (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (914 citations), Media Technology (210 citations) and Cardiology and Cardiovascular Medicine (429 citations). Chunxia Zhao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Debao Chen, Dao Wen Wang, Qiaolin Ye, Ning Ye, Yan Wang, Yong Hu, Xia Yuan, Yingkun Hou, Jianfeng Lu and Guangwen Long. Their work appears in journals such as Circulation, Nature Medicine and Nature Communications.
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.