Danni Ai
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- Medical Image Segmentation Techniques 58
- Advanced Image and Video Retrieval Techniques 16
- Advanced Neural Network Applications 13
- Advanced Vision and Imaging 13
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- Retinal Imaging and Analysis 26
- Media Technology top 5%
- Neurology top 10%
- Biomedical Engineering top 10%
- Medical Imaging and Analysis 15
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- Robotics and Sensor-Based Localization 16
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- Cerebrovascular and Carotid Artery Diseases 15
- Co-authors
- Jian YangYongtian WangJingfan FanHong SongYong HuangSongyuan TangMubashir AhmadSyed Furqan Qadri
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingMedia Technology
- Journals
- Physics in Medicine and Biology (11 papers)Computer Methods and Programs in Biomedicine (8 papers)Computers in Biology and Medicine (8 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Danni Ai
135 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 776
- Radiology, Nuclear Medicine and Imaging 501
- Media Technology 127
- Neurology 86
- Biomedical Engineering 392
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 6 | |
| 18 | 2019 | 13 | |
| 19 | 2018 | 56 | |
| 20 | Auto-recognition of food images using SPIN feature for Food-Log system | 2012 | 12 |
About Danni Ai
Danni Ai is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mathematics, Media Technology and Computer Graphics and Computer-Aided Design, having authored 154 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (58 papers), Retinal Imaging and Analysis (26 papers), Robotics and Sensor-Based Localization (16 papers), Advanced Image and Video Retrieval Techniques (16 papers), Cerebrovascular and Carotid Artery Diseases (15 papers), Medical Imaging and Analysis (15 papers), Advanced Neural Network Applications (13 papers) and Advanced Vision and Imaging (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (776 citations), Radiology, Nuclear Medicine and Imaging (501 citations), Media Technology (127 citations), Neurology (86 citations) and Biomedical Engineering (392 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, Mubashir Ahmad, Syed Furqan Qadri, Yitian Zhao and Xuehu Wang. 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.