Xiuying Wang
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 2%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Renewable Energy, Sustainability and the Environment top 5%
- Co-authors
- Dagan FengSon C. HuynhXiaoli DongPaul MitchellHongchao MaMichael FulhamElena RochtchinaYuchen Hao
- Topics
- Medical Image Segmentation Techniques (51 papers)Radiomics and Machine Learning in Medical Imaging (48 papers)Medical Imaging Techniques and Applications (35 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiuying Wang
306 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Radiology, Nuclear Medicine and Imaging 1.2k
- Computer Vision and Pattern Recognition 657
- Materials Chemistry 620
- Electrical and Electronic Engineering 605
- Renewable Energy, Sustainability and the Environment 604
Countries citing papers authored by Xiuying Wang
This map shows the geographic impact of Xiuying 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 Xiuying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuying Wang more than expected).
Fields of papers citing papers by Xiuying Wang
This network shows the impact of papers produced by Xiuying 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 Xiuying Wang. The network helps show where Xiuying Wang may publish in the future.
Co-authorship network of co-authors of Xiuying Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiuying Wang. A scholar is included among the top collaborators of Xiuying 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 Xiuying Wang. Xiuying 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 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 29 | |
| 15 | 40 | |
| 16 | 24 | |
| 17 | 18 | |
| 18 | 56 | |
| 19 | 1 | |
| 20 | Discrimination of Crop and Weeds on Visible and Visible/Near-Infrared Spectrums Using Support Vector Machine, Artificial Neural Network and Decision Tree | 11 |
About Xiuying Wang
Xiuying Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 327 papers that have together received 5.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (51 papers), Radiomics and Machine Learning in Medical Imaging (48 papers) and Medical Imaging Techniques and Applications (35 papers). The work is most often cited by research in Ophthalmology (554 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Water Science and Technology (569 citations). Xiuying Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dagan Feng, Son C. Huynh, Xiaoli Dong, Paul Mitchell, Hongchao Ma, Michael Fulham, Elena Rochtchina, Yuchen Hao, Stefan Eberl and Zhongsheng Tan. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología 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.