Danni Ai
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Image Segmentation Techniques 52
- Advanced Image and Video Retrieval Techniques 14
- Advanced Neural Network Applications 10
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- Retinal Imaging and Analysis 22
- Medical Imaging Techniques and Applications 11
- Co-authors
- Jian Yang (126 shared papers)Yongtian Wang (67 shared papers)Jingfan Fan (92 shared papers)Hong Song (93 shared papers)Yong Huang (23 shared papers)Songyuan Tang (8 shared papers)Syed Furqan Qadri (3 shared papers)Mubashir Ahmad (3 shared papers)
- Journals
- Physics in Medicine and Biology (12 papers)Computer Methods and Programs in Biomedicine (8 papers)Computers in Biology and Medicine (8 papers)Neurocomputing (6 papers)IEEE Transactions on Circuits and Systems for Video Technology (6 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Danni Ai
140 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 721
- Radiology, Nuclear Medicine and Imaging 435
- Media Technology 126
- Neurology 82
- Health Informatics 10
Countries citing papers authored by Danni Ai
This map shows the geographic impact of Danni Ai'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 Danni Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Ai more than expected).
Fields of papers citing papers by Danni Ai
This network shows the impact of papers produced by Danni Ai. 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 Danni Ai. The network helps show where Danni Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni Ai, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 103 | |
| 2 | 2016 | 88 | |
| 3 | 2018 | 57 | |
| 4 | 2015 | 55 | |
| 5 | 2017 | 48 | |
| 6 | 2018 | 48 | |
| 7 | 2016 | 40 | |
| 8 | 2016 | 39 | |
| 9 | 2015 | 38 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 30 | |
| 12 | 2015 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2022 | 24 | |
| 15 | 2018 | 22 | |
| 16 | 2016 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2023 | 19 |
About Danni Ai
Danni Ai is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Aerospace Engineering, having authored 158 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (52 papers), Retinal Imaging and Analysis (22 papers), Advanced Image and Video Retrieval Techniques (14 papers), Cerebrovascular and Carotid Artery Diseases (13 papers), Medical Imaging and Analysis (12 papers), Robotics and Sensor-Based Localization (12 papers), Medical Imaging Techniques and Applications (11 papers) and Advanced Neural Network Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (721 citations), Radiology, Nuclear Medicine and Imaging (435 citations), Media Technology (126 citations), Neurology (82 citations) and Health Informatics (10 citations). Danni Ai has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jian Yang, Yongtian Wang, Jingfan Fan, Hong Song, Yong Huang, Songyuan Tang, Syed Furqan Qadri, Mubashir Ahmad, Xuehu Wang and Tianyu Fu. Their work appears in journals such as Physics in Medicine and Biology, Computer Methods and Programs in Biomedicine, Computers in Biology and Medicine, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.
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.