Li Wang
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Advanced Neuroimaging Techniques and Applications 84
- Radiomics and Machine Learning in Medical Imaging 54
- Advanced MRI Techniques and Applications 51
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- Medical Image Segmentation Techniques 97
- Advanced Neural Network Applications 66
- Co-authors
- Dinggang Shen (176 shared papers)Weili Lin (128 shared papers)Feng Shi (55 shared papers)Gang Li (132 shared papers)John H. Gilmore (57 shared papers)Yaozong Gao (26 shared papers)Dong-Chen He (8 shared papers)Dong Nie (12 shared papers)
- Journals
- NeuroImage (20 papers)Human Brain Mapping (17 papers)IEEE Transactions on Medical Imaging (15 papers)Medical Image Analysis (14 papers)PLoS ONE (12 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Li Wang
756 papers receiving 18.2k citations
Li Wang's Hit Papers
Peers
Comparison fields: 5 of 211
- Computer Vision and Pattern Recognition 4.8k
- Radiology, Nuclear Medicine and Imaging 4.9k
- Cognitive Neuroscience 3.7k
- Neurology 1.2k
- Health Informatics 195
Countries citing papers authored by Li Wang
This map shows the geographic impact of Li Wang'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 Li Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Wang more than expected).
Fields of papers citing papers by Li Wang
This network shows the impact of papers produced by Li Wang. 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 Li Wang. The network helps show where Li Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Wang, 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 828 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep convolutional neural networks for multi-modality isointense infant brain image segmentation Hit paper breakdown → | 2015 | 581 |
| 2 | Medical Image Synthesis with Deep Convolutional Adversarial Networks Hit paper breakdown → | 2018 | 421 |
| 3 | Active contours driven by local Gaussian distribution fitting energy Hit paper breakdown → | 2009 | 361 |
| 4 | 2014 | 318 | |
| 5 | Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation Hit paper breakdown → | 2009 | 316 |
| 6 | 2014 | 271 | |
| 7 | 1990 | 270 | |
| 8 | The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development Hit paper breakdown → | 2018 | 243 |
| 9 | 2015 | 205 | |
| 10 | 2015 | 199 | |
| 11 | 2020 | 197 | |
| 12 | 2016 | 190 | |
| 13 | 2014 | 188 | |
| 14 | 2015 | 184 | |
| 15 | 2014 | 179 | |
| 16 | 2016 | 174 | |
| 17 | The doubly regularized support vector machine | 2006 | 169 |
| 18 | 2020 | 159 | |
| 19 | 2008 | 149 | |
| 20 | 2012 | 148 |
About Li Wang
Li Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 828 papers that have together received 18.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (119 papers), Medical Image Segmentation Techniques (97 papers), Neonatal and fetal brain pathology (84 papers), Advanced Neuroimaging Techniques and Applications (84 papers), Advanced Neural Network Applications (66 papers), Radiomics and Machine Learning in Medical Imaging (54 papers), Advanced MRI Techniques and Applications (51 papers) and EEG and Brain-Computer Interfaces (43 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.8k citations), Radiology, Nuclear Medicine and Imaging (4.9k citations), Cognitive Neuroscience (3.7k citations), Neurology (1.2k citations) and Health Informatics (195 citations). Li Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dinggang Shen, Weili Lin, Feng Shi, Gang Li, John H. Gilmore, Yaozong Gao, Dong-Chen He, Dong Nie, Chunming Li and Pew‐Thian Yap. Their work appears in journals such as NeuroImage, Human Brain Mapping, IEEE Transactions on Medical Imaging, Medical Image Analysis and PLoS ONE.
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.