Minghao Guo
Impact in
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- Advanced Neural Network Applications
- Radiation top 10%
- Advanced Radiotherapy Techniques
Papers in
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- Protein Structure and Dynamics 3
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- Advanced Neural Network Applications 2
- Co-authors
- Martin Gruebele (3 shared papers)Yangfan Xu (1 shared paper)Dahua Lin (3 shared papers)David Shaw (1 shared paper)Kresten Lindorff‐Larsen (1 shared paper)Stefano Piana (1 shared paper)Yuzhe Yang (1 shared paper)Ziwei Liu (1 shared paper)
- Journals
- ACM Transactions on Graphics (4 papers)Medical Physics (3 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)Carbohydrate Polymers (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Minghao Guo
39 papers receiving 676 citations
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 122
- Radiation 39
- Biophysics 24
- Artificial Intelligence 128
- Radiology, Nuclear Medicine and Imaging 77
Countries citing papers authored by Minghao Guo
This map shows the geographic impact of Minghao Guo'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 Minghao Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghao Guo more than expected).
Fields of papers citing papers by Minghao Guo
This network shows the impact of papers produced by Minghao Guo. 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 Minghao Guo. The network helps show where Minghao Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghao Guo, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 112 | |
| 2 | 2010 | 93 | |
| 3 | 2020 | 76 | |
| 4 | 2023 | 43 | |
| 5 | 2020 | 39 | |
| 6 | 2014 | 37 | |
| 7 | 2019 | 34 | |
| 8 | 2022 | 26 | |
| 9 | 2020 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2018 | 19 | |
| 12 | 2023 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2023 | 8 |
About Minghao Guo
Minghao Guo is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 40 papers that have together received 683 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), 3D Shape Modeling and Analysis (4 papers), Advanced MRI Techniques and Applications (3 papers), Protein Structure and Dynamics (3 papers), Railway Engineering and Dynamics (3 papers), Advanced X-ray Imaging Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Radiation (39 citations), Biophysics (24 citations), Artificial Intelligence (128 citations) and Radiology, Nuclear Medicine and Imaging (77 citations). Minghao Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Martin Gruebele, Yangfan Xu, Dahua Lin, David Shaw, Kresten Lindorff‐Larsen, Stefano Piana, Yuzhe Yang, Ziwei Liu, Rui Xu and Hannah Gelman. Their work appears in journals such as ACM Transactions on Graphics, Medical Physics, Scientific Reports, PLoS ONE and Carbohydrate Polymers.
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.