Manning Wang
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Medical Image Segmentation Techniques 15
- Advanced Neural Network Applications 9
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- Robotics and Sensor-Based Localization 24
- Co-authors
- Dongsheng Jiang (6 shared papers)Yueyue Wang (3 shared papers)Joy Chen (1 shared paper)Xiaopeng Zhang (1 shared paper)Qi Tian (1 shared paper)Hu Cao (1 shared paper)Zhijian Song (58 shared papers)Shaolei Liu (20 shared papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (3 papers)Frontiers of Computer Science (3 papers)Briefings in Bioinformatics (3 papers)Medical Physics (3 papers)IEEE Access (3 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Manning Wang
124 papers receiving 3.9k citations
Manning Wang's Hit Papers
Peers
Comparison fields: 5 of 160
- Computer Vision and Pattern Recognition 1.7k
- Media Technology 439
- Neurology 351
- Radiology, Nuclear Medicine and Imaging 840
- Geology 216
Countries citing papers authored by Manning Wang
This map shows the geographic impact of Manning 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 Manning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manning Wang more than expected).
Fields of papers citing papers by Manning Wang
This network shows the impact of papers produced by Manning 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 Manning Wang. The network helps show where Manning Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Manning 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation Hit paper breakdown → | 2023 | 1998 |
| 2 | Robust Point Cloud Registration Framework Based on Deep Graph Matching Hit paper breakdown → | 2021 | 185 |
| 3 | 2022 | 121 | |
| 4 | 2021 | 94 | |
| 5 | 2013 | 88 | |
| 6 | 2021 | 73 | |
| 7 | 2018 | 62 | |
| 8 | 2019 | 59 | |
| 9 | 2022 | 50 | |
| 10 | 2022 | 49 | |
| 11 | 2019 | 47 | |
| 12 | 2014 | 45 | |
| 13 | 2024 | 45 | |
| 14 | 2018 | 43 | |
| 15 | 2013 | 40 | |
| 16 | 2016 | 39 | |
| 17 | 2022 | 38 | |
| 18 | 2008 | 29 | |
| 19 | 2022 | 28 | |
| 20 | 2018 | 28 |
About Manning Wang
Manning Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 133 papers that have together received 4.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (24 papers), Medical Image Segmentation Techniques (15 papers), 3D Shape Modeling and Analysis (13 papers), Domain Adaptation and Few-Shot Learning (10 papers), Advanced Image Fusion Techniques (10 papers), AI in cancer detection (10 papers), COVID-19 diagnosis using AI (10 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Media Technology (439 citations), Neurology (351 citations), Radiology, Nuclear Medicine and Imaging (840 citations) and Geology (216 citations). Manning Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Dongsheng Jiang, Yueyue Wang, Joy Chen, Xiaopeng Zhang, Qi Tian, Hu Cao, Zhijian Song, Shaolei Liu, Linhao Qu and Kexue Fu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Frontiers of Computer Science, Briefings in Bioinformatics, Medical Physics and IEEE Access.
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.