Nan Mu
Impact in
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- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
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- COVID-19 diagnosis using AI
Papers in
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- Visual Attention and Saliency Detection 23
- Advanced Image and Video Retrieval Techniques 13
- Image and Video Quality Assessment 7
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- Cerebrovascular and Carotid Artery Diseases 7
- Aortic aneurysm repair treatments 6
- Co-authors
- Jingfeng Jiang (16 shared papers)Xin Xu (20 shared papers)Jinshan Tang (3 shared papers)Daren Zha (9 shared papers)Hongyu Wang (2 shared papers)Robert D. McBane (6 shared papers)Yu Zhang (1 shared paper)Xiaoming Zhang (5 shared papers)
- Journals
- Computers in Biology and Medicine (4 papers)Pattern Recognition Letters (2 papers)Scientific Reports (2 papers)Annals of Biomedical Engineering (2 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Nan Mu
64 papers receiving 583 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 173
- Radiology, Nuclear Medicine and Imaging 108
- Sensory Systems 20
- Neurology 59
- Pulmonary and Respiratory Medicine 112
Countries citing papers authored by Nan Mu
This map shows the geographic impact of Nan Mu'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 Nan Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Mu more than expected).
Fields of papers citing papers by Nan Mu
This network shows the impact of papers produced by Nan Mu. 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 Nan Mu. The network helps show where Nan Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Mu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 66 | |
| 2 | 2021 | 51 | |
| 3 | 2016 | 36 | |
| 4 | 2017 | 26 | |
| 5 | 2019 | 25 | |
| 6 | 2023 | 21 | |
| 7 | 2021 | 21 | |
| 8 | 2017 | 21 | |
| 9 | 2013 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2023 | 17 | |
| 12 | 2015 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2016 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2023 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2019 | 12 |
About Nan Mu
Nan Mu is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Artificial Intelligence, Sensory Systems and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 593 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (23 papers), Advanced Image and Video Retrieval Techniques (13 papers), Olfactory and Sensory Function Studies (10 papers), Intracranial Aneurysms: Treatment and Complications (8 papers), Advanced Graph Neural Networks (8 papers), Image and Video Quality Assessment (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Aortic aneurysm repair treatments (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Radiology, Nuclear Medicine and Imaging (108 citations), Sensory Systems (20 citations), Neurology (59 citations) and Pulmonary and Respiratory Medicine (112 citations). Nan Mu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingfeng Jiang, Xin Xu, Jinshan Tang, Daren Zha, Hongyu Wang, Robert D. McBane, Yu Zhang, Xiaoming Zhang, Li Chen and Todd E. Rasmussen. Their work appears in journals such as Computers in Biology and Medicine, Pattern Recognition Letters, Scientific Reports, Annals of Biomedical Engineering and Multimedia Tools and Applications.
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.