Munan Ning
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Face recognition and analysis
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- Retinal Imaging and Analysis
Papers in
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- Multimodal Machine Learning Applications 6
- Advanced Neural Network Applications 5
- Digital Imaging for Blood Diseases 3
- Medical Image Segmentation Techniques 3
- Video Surveillance and Tracking Methods 3
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Yang Guo (5 shared papers)Yaohua Wang (4 shared papers)Yefeng Zheng (15 shared papers)Kai Ma (9 shared papers)Nanjun He (3 shared papers)Yuexiang Li (3 shared papers)Cheng Bian (6 shared papers)Donghuan Lu (8 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Lecture notes in computer science (12 papers)Journal of Visual Communication and Image Representation (1 paper)Pattern Recognition Letters (1 paper)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Munan Ning
25 papers receiving 839 citations
Munan Ning's Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 576
- Radiology, Nuclear Medicine and Imaging 201
- Artificial Intelligence 283
- Ophthalmology 42
- Biomedical Engineering 188
Countries citing papers authored by Munan Ning
This map shows the geographic impact of Munan Ning'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 Munan Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munan Ning more than expected).
Fields of papers citing papers by Munan Ning
This network shows the impact of papers produced by Munan Ning. 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 Munan Ning. The network helps show where Munan Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Munan Ning, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 244 | |
| 2 | Video-LLaVA: Learning United Visual Representation by Alignment Before Projection Hit paper breakdown → | 2024 | 117 |
| 3 | 2021 | 101 | |
| 4 | 2022 | 76 | |
| 5 | 2022 | 70 | |
| 6 | 2021 | 39 | |
| 7 | 2018 | 34 | |
| 8 | 2023 | 27 | |
| 9 | 2020 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2025 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2017 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Munan Ning
Munan Ning is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Ophthalmology, having authored 27 papers that have together received 844 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Retinal Imaging and Analysis (4 papers), COVID-19 diagnosis using AI (4 papers), Digital Imaging for Blood Diseases (3 papers), Medical Image Segmentation Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (576 citations), Radiology, Nuclear Medicine and Imaging (201 citations), Artificial Intelligence (283 citations), Ophthalmology (42 citations) and Biomedical Engineering (188 citations). Munan Ning has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yang Guo, Yaohua Wang, Yefeng Zheng, Kai Ma, Nanjun He, Yuexiang Li, Cheng Bian, Donghuan Lu, Shuang Yu and Yuan Li. Their work appears in journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science, Journal of Visual Communication and Image Representation, Pattern Recognition Letters and ISPRS Journal of Photogrammetry and Remote Sensing.
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.