Aiping Qu
Impact in
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- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 16
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- Digital Imaging for Blood Diseases 5
- Advanced Neural Network Applications 5
- Medical Image Segmentation Techniques 3
- Co-authors
- Jingping Yuan (8 shared papers)Xiaofeng He (1 shared paper)Lin‐Wei Wang (4 shared papers)Penghui He (4 shared papers)Juan Liu (7 shared papers)Guifang Yang (4 shared papers)Jiamei Chen (4 shared papers)Yan Li (3 shared papers)
- Journals
- Biomedical Signal Processing and Control (3 papers)Optimization (2 papers)Scientific Reports (2 papers)The Visual Computer (1 paper)Science China Information Sciences (1 paper)
- Partner nations
- China
In The Last Decade
Aiping Qu
27 papers receiving 386 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 146
- Biophysics 33
- Artificial Intelligence 177
- Radiology, Nuclear Medicine and Imaging 107
- Neurology 24
Countries citing papers authored by Aiping Qu
This map shows the geographic impact of Aiping Qu'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 Aiping Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiping Qu more than expected).
Fields of papers citing papers by Aiping Qu
This network shows the impact of papers produced by Aiping Qu. 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 Aiping Qu. The network helps show where Aiping Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiping Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 50 | |
| 2 | 2021 | 46 | |
| 3 | 2002 | 30 | |
| 4 | 2023 | 30 | |
| 5 | 2013 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2016 | 21 | |
| 8 | 2015 | 20 | |
| 9 | Morphological study and comprehensive cellular constituents of milky spots in the human omentum. | 2015 | 19 |
| 10 | 2021 | 19 | |
| 11 | 2023 | 16 | |
| 12 | 2014 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 4 | |
| 20 | 2012 | 3 |
About Aiping Qu
Aiping Qu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Numerical Analysis and Biophysics, having authored 31 papers that have together received 396 indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Iterative Methods for Nonlinear Equations (5 papers), Digital Imaging for Blood Diseases (5 papers), Advanced Optimization Algorithms Research (5 papers), Advanced Neural Network Applications (5 papers), Cell Image Analysis Techniques (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (146 citations), Biophysics (33 citations), Artificial Intelligence (177 citations), Radiology, Nuclear Medicine and Imaging (107 citations) and Neurology (24 citations). Aiping Qu has collaborated with scholars based in China. Frequent co-authors include Jingping Yuan, Xiaofeng He, Lin‐Wei Wang, Penghui He, Juan Liu, Guifang Yang, Jiamei Chen, Yan Li, Hao Liang and Xuelin Lou. Their work appears in journals such as Biomedical Signal Processing and Control, Optimization, Scientific Reports, The Visual Computer and Science China Information Sciences.
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.