Ruiguo Yu
Impact in
- Health Informatics top 2%
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
- AI in cancer detection
- Advanced Graph Neural Networks
Papers in
-
- Advanced Graph Neural Networks 15
- Topic Modeling 15
- AI in cancer detection 12
- Domain Adaptation and Few-Shot Learning 8
- Co-authors
- Mei Yu (41 shared papers)Xuewei Li (35 shared papers)Mankun Zhao (30 shared papers)Tianyi Xu (15 shared papers)Zhuo Zhang (2 shared papers)Wenhuan Lu (3 shared papers)Ruixuan Zhang (6 shared papers)Jian Yu (22 shared papers)
- Journals
- Applied Intelligence (4 papers)Information Sciences (2 papers)Knowledge-Based Systems (2 papers)IEEE Access (2 papers)Future Generation Computer Systems (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ruiguo Yu
58 papers receiving 910 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 52
- Artificial Intelligence 452
- Computer Vision and Pattern Recognition 150
- Energy Engineering and Power Technology 22
- Radiology, Nuclear Medicine and Imaging 145
Countries citing papers authored by Ruiguo Yu
This map shows the geographic impact of Ruiguo Yu'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 Ruiguo Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiguo Yu more than expected).
Fields of papers citing papers by Ruiguo Yu
This network shows the impact of papers produced by Ruiguo Yu. 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 Ruiguo Yu. The network helps show where Ruiguo Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruiguo Yu, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 229 | |
| 2 | 2020 | 91 | |
| 3 | 2022 | 83 | |
| 4 | 2019 | 66 | |
| 5 | 2023 | 49 | |
| 6 | 2019 | 49 | |
| 7 | 2017 | 33 | |
| 8 | 2020 | 33 | |
| 9 | 2021 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2018 | 26 | |
| 12 | 2020 | 20 | |
| 13 | 2021 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2014 | 8 |
About Ruiguo Yu
Ruiguo Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 69 papers that have together received 941 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (15 papers), Topic Modeling (15 papers), AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Domain Adaptation and Few-Shot Learning (8 papers), Recommender Systems and Techniques (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Energy Load and Power Forecasting (6 papers). The work is most often cited by research in Health Informatics (52 citations), Artificial Intelligence (452 citations), Computer Vision and Pattern Recognition (150 citations), Energy Engineering and Power Technology (22 citations) and Radiology, Nuclear Medicine and Imaging (145 citations). Ruiguo Yu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Mei Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Zhuo Zhang, Wenhuan Lu, Ruixuan Zhang, Jian Yu, Jie Zhang and Xi Wei. Their work appears in journals such as Applied Intelligence, Information Sciences, Knowledge-Based Systems, IEEE Access and Future Generation Computer Systems.
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.