Xiaoying Wang
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Co-authors
- Jue ZhangXiaodong ZhangShuai MaXuedong YangShihui HanHuihui XieChao HanRuijun Zhang
- Topics
- Prostate Cancer Diagnosis and Treatment (41 papers)Radiomics and Machine Learning in Medical Imaging (40 papers)Advanced MRI Techniques and Applications (34 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Xiaoying Wang
170 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 168
- Radiology, Nuclear Medicine and Imaging 1.0k
- Pulmonary and Respiratory Medicine 763
- Biomedical Engineering 528
- Cognitive Neuroscience 257
- Molecular Biology 219
Countries citing papers authored by Xiaoying Wang
This map shows the geographic impact of Xiaoying Wang'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 Xiaoying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Wang more than expected).
Fields of papers citing papers by Xiaoying Wang
This network shows the impact of papers produced by Xiaoying Wang. 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 Xiaoying Wang. The network helps show where Xiaoying Wang may publish in the future.
Co-authorship network of co-authors of Xiaoying Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Wang. A scholar is included among the top collaborators of Xiaoying Wang 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 Xiaoying Wang. Xiaoying Wang 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 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 1 | |
| 13 | 54 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 39 | |
| 19 | SCH 727965, a novel cyclin-dependent kinase inhibitor, has potent anti-tumor acitivity in a wide-spectrum of human tumor xenograft models | 1 |
| 20 | Effect of controlled-release urea combined application with urea on nitrogen utilization efficiency of winter wheat | 3 |
About Xiaoying Wang
Xiaoying Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics, having authored 181 papers that have together received 2.8k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (41 papers), Radiomics and Machine Learning in Medical Imaging (40 papers) and Advanced MRI Techniques and Applications (34 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Health Informatics (44 citations) and Pulmonary and Respiratory Medicine (763 citations). Xiaoying Wang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Jue Zhang, Xiaodong Zhang, Shuai Ma, Xuedong Yang, Shihui Han, Huihui Xie, Xuedong Yang, Chao Han, Ruijun Zhang and Xue-xiang Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.
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.