Yu Gu
Impact in
- Computational Mathematics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Video Surveillance and Tracking Methods 11
- Advanced Neural Network Applications 5
- Face recognition and analysis 5
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- Radiomics and Machine Learning in Medical Imaging 8
- COVID-19 diagnosis using AI 6
- Co-authors
- Xiaoqi Lu (20 shared papers)Chuluo Yang (5 shared papers)Baohua Zhang (12 shared papers)Ying Zhao (6 shared papers)Lidong Yang (9 shared papers)Dahua Yu (6 shared papers)Shaolong Gong (3 shared papers)Cheng Zhong (2 shared papers)
- Journals
- Journal of Visual Communication and Image Representation (4 papers)Multimedia Tools and Applications (3 papers)Computers in Biology and Medicine (3 papers)Proceedings of the VLDB Endowment (3 papers)Optik (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yu Gu
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 121
- Computational Mathematics 21
- Radiology, Nuclear Medicine and Imaging 301
- Pulmonary and Respiratory Medicine 228
- Neurology 59
- Computer Vision and Pattern Recognition 134
Countries citing papers authored by Yu Gu
This map shows the geographic impact of Yu Gu'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 Yu Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gu more than expected).
Fields of papers citing papers by Yu Gu
This network shows the impact of papers produced by Yu Gu. 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 Yu Gu. The network helps show where Yu Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Gu, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 154 | |
| 2 | 2018 | 146 | |
| 3 | 2021 | 129 | |
| 4 | 2011 | 61 | |
| 5 | 2015 | 53 | |
| 6 | 2017 | 50 | |
| 7 | 2018 | 49 | |
| 8 | 2019 | 49 | |
| 9 | 2019 | 42 | |
| 10 | 2020 | 24 | |
| 11 | 2018 | 23 | |
| 12 | 2024 | 22 | |
| 13 | Application level relay for high-bandwidth data transport | 2004 | 22 |
| 14 | 2015 | 19 | |
| 15 | 2013 | 17 | |
| 16 | 2022 | 15 | |
| 17 | 2010 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2003 | 12 | |
| 20 | 2024 | 11 |
About Yu Gu
Yu Gu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Gait Recognition and Analysis (6 papers), COVID-19 diagnosis using AI (6 papers), Organic Electronics and Photovoltaics (5 papers), Organic Light-Emitting Diodes Research (5 papers), Advanced Neural Network Applications (5 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Computational Mathematics (21 citations), Radiology, Nuclear Medicine and Imaging (301 citations), Pulmonary and Respiratory Medicine (228 citations), Neurology (59 citations) and Computer Vision and Pattern Recognition (134 citations). Yu Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaoqi Lu, Chuluo Yang, Baohua Zhang, Ying Zhao, Lidong Yang, Dahua Yu, Shaolong Gong, Cheng Zhong, Tianheng Chen and Guohua Xie. Their work appears in journals such as Journal of Visual Communication and Image Representation, Multimedia Tools and Applications, Computers in Biology and Medicine, Proceedings of the VLDB Endowment and Optik.
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.