Xingle An
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Handwritten Text Recognition Techniques 1
- Advanced Image and Video Retrieval Techniques 1
- Image Retrieval and Classification Techniques 1
- Medical Image Segmentation Techniques 1
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- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- Co-authors
- Jun Ma (2 shared papers)Jian He (2 shared papers)Cheng Ge (3 shared papers)Xiaoping Yang (3 shared papers)Cheng Zhu (2 shared papers)Congcong Wang (2 shared papers)Song Gu (1 shared paper)Yichi Zhang (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Microcomputer Information (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- ChinaNorwaySaudi Arabia
In The Last Decade
Xingle An
3 papers receiving 241 citations
Xingle An's Hit Papers
Peers
Comparison fields: 5 of 40
- Health Informatics 20
- Radiology, Nuclear Medicine and Imaging 138
- Computer Vision and Pattern Recognition 115
- Neurology 24
- Artificial Intelligence 91
Countries citing papers authored by Xingle An
This map shows the geographic impact of Xingle An'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 Xingle An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingle An more than expected).
Fields of papers citing papers by Xingle An
This network shows the impact of papers produced by Xingle An. 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 Xingle An. The network helps show where Xingle An may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingle An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? Hit paper breakdown → | 2021 | 191 |
| 2 | Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation | 2020 | 51 |
| 3 | 2016 | 2 | |
| 4 | Ear Recognition Based on Relation of Structure of Eyes, Mouth and Ear contour | 2007 | 0 |
| 5 | 2021 | 0 |
About Xingle An
Xingle An is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Signal Processing and Biomedical Engineering, having authored 5 papers that have together received 244 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers), Handwritten Text Recognition Techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Advanced X-ray and CT Imaging (1 paper), Image Retrieval and Classification Techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Computer Vision and Pattern Recognition (115 citations), Neurology (24 citations) and Artificial Intelligence (91 citations). Xingle An has collaborated with scholars based in China, Norway and Saudi Arabia. Frequent co-authors include Jun Ma, Jian He, Cheng Ge, Xiaoping Yang, Cheng Zhu, Congcong Wang, Song Gu, Yichi Zhang, Yuhui Li and Qiyuan Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Microcomputer Information, Zenodo (CERN European Organization for Nuclear Research) and arXiv (Cornell University).
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.