Xiang Yu
Impact in
- Health Informatics top 5%
-
- Human Pose and Action Recognition
Papers in
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- AI in cancer detection 13
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- Medical Image Segmentation Techniques 5
- Human Pose and Action Recognition 3
- Co-authors
- Yudong Zhang (15 shared papers)Shuihua Wang (10 shared papers)Dieter Fox (7 shared papers)Qinghua Zhou (3 shared papers)J. M. Górriz (3 shared papers)Xujing Yao (2 shared papers)Stan Birchfield (2 shared papers)Jonathan Tremblay (2 shared papers)
- Journals
- Neurocomputing (2 papers)IEEE Robotics and Automation Letters (2 papers)Education and Information Technologies (2 papers)Expert Systems with Applications (2 papers)Information Fusion (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiang Yu
42 papers receiving 1.5k citations
Xiang Yu's Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 38
- Computer Vision and Pattern Recognition 596
- Human-Computer Interaction 134
- Neurology 159
- Radiology, Nuclear Medicine and Imaging 413
Countries citing papers authored by Xiang Yu
This map shows the geographic impact of Xiang 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 Xiang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Yu more than expected).
Fields of papers citing papers by Xiang Yu
This network shows the impact of papers produced by Xiang 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 Xiang Yu. The network helps show where Xiang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation Hit paper breakdown → | 2020 | 322 |
| 2 | 2021 | 170 | |
| 3 | 2021 | 158 | |
| 4 | Transfer learning for medical images analyses: A survey Hit paper breakdown → | 2022 | 146 |
| 5 | 2018 | 133 | |
| 6 | 2020 | 81 | |
| 7 | 2019 | 74 | |
| 8 | 2020 | 63 | |
| 9 | 2020 | 62 | |
| 10 | 2021 | 54 | |
| 11 | 2020 | 52 | |
| 12 | 2019 | 52 | |
| 13 | 2022 | 42 | |
| 14 | 2019 | 29 | |
| 15 | 2023 | 26 | |
| 16 | 2022 | 18 | |
| 17 | 2018 | 15 | |
| 18 | 2017 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2018 | 9 |
About Xiang Yu
Xiang Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Biomedical Engineering, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), COVID-19 diagnosis using AI (7 papers), Medical Image Segmentation Techniques (5 papers), Robot Manipulation and Learning (5 papers), Brain Tumor Detection and Classification (4 papers), Robotics and Sensor-Based Localization (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Health Informatics (38 citations), Computer Vision and Pattern Recognition (596 citations), Human-Computer Interaction (134 citations), Neurology (159 citations) and Radiology, Nuclear Medicine and Imaging (413 citations). Xiang Yu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yudong Zhang, Shuihua Wang, Dieter Fox, Qinghua Zhou, J. M. Górriz, Xujing Yao, Stan Birchfield, Jonathan Tremblay, Francisco J. Martínez and Min Li. Their work appears in journals such as Neurocomputing, IEEE Robotics and Automation Letters, Education and Information Technologies, Expert Systems with Applications and Information Fusion.
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.