Xujing Yao
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Cognitive Neuroscience
- Co-authors
- Yudong ZhangShuihua WangJ. M. GórrizXiang YuQinghua ZhouFrancisco J. MartínezJavier Ramı́rezHua Hu
- Topics
- AI in cancer detection (4 papers)COVID-19 diagnosis using AI (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Xujing Yao
10 papers receiving 599 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 201
- Computer Vision and Pattern Recognition 179
- Radiology, Nuclear Medicine and Imaging 165
- Neurology 95
- Cognitive Neuroscience 82
Countries citing papers authored by Xujing Yao
This map shows the geographic impact of Xujing Yao'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 Xujing Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xujing Yao more than expected).
Fields of papers citing papers by Xujing Yao
This network shows the impact of papers produced by Xujing Yao. 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 Xujing Yao. The network helps show where Xujing Yao may publish in the future.
Co-authorship network of co-authors of Xujing Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Xujing Yao. A scholar is included among the top collaborators of Xujing Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xujing Yao. Xujing Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 23 | |
| 5 | 10 | |
| 6 | 165 | |
| 7 | 33 | |
| 8 | Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientationbreakdown → | 313 |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 50 |
About Xujing Yao
Xujing Yao is a scholar working on Health Informatics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 617 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (21 citations), Neurology (95 citations) and Computer Vision and Pattern Recognition (179 citations). Xujing Yao has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Yudong Zhang, Shuihua Wang, J. M. Górriz, Xiang Yu, Qinghua Zhou, Francisco J. Martínez, Javier Ramı́rez, Hua Hu, Min Li and C. Jiménez-Mesa. Their work appears in journals such as Expert Systems with Applications, IEEE Access 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.