Aoxiao Zhong
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Neurology
- Topics
- Software System Performance and Reliability (2 papers)COVID-19 diagnosis using AI (2 papers)Anomaly Detection Techniques and Applications (2 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Aoxiao Zhong
8 papers receiving 164 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 65
- Computer Vision and Pattern Recognition 61
- Radiology, Nuclear Medicine and Imaging 59
- Computer Networks and Communications 18
- Neurology 18
Countries citing papers authored by Aoxiao Zhong
This map shows the geographic impact of Aoxiao Zhong'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 Aoxiao Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aoxiao Zhong more than expected).
Fields of papers citing papers by Aoxiao Zhong
This network shows the impact of papers produced by Aoxiao Zhong. 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 Aoxiao Zhong. The network helps show where Aoxiao Zhong may publish in the future.
Co-authorship network of co-authors of Aoxiao Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Aoxiao Zhong. A scholar is included among the top collaborators of Aoxiao Zhong 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 Aoxiao Zhong. Aoxiao Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 12 | |
| 4 | MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentationbreakdown → | 71 |
| 5 | 0 | |
| 6 | 51 | |
| 7 | 7 | |
| 8 | Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations | 2 |
| 9 | 13 |
About Aoxiao Zhong
Aoxiao Zhong is a scholar working on Computer Vision and Pattern Recognition, Geography, Planning and Development and Artificial Intelligence, having authored 9 papers that have together received 167 indexed citations. Recurring topics across this work include Software System Performance and Reliability (2 papers), COVID-19 diagnosis using AI (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (8 citations), Computer Vision and Pattern Recognition (61 citations) and Radiology, Nuclear Medicine and Imaging (59 citations). Aoxiao Zhong has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Quanzheng Li, Xiang Li, Dufan Wu, Zhengliang Liu, Cheng Chen, Tianming Liu, Sekeun Kim, Zhiling Yan, Juzheng Miao and Lichao Sun. Their work appears in journals such as Medical Image Analysis, IEEE Journal of Biomedical and Health Informatics and The VLDB Journal.
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.