Taohui Xiao

595 citations
15 papers · 383 indexed · h-index 7
Topics
Radiomics and Machine Learning in Medical Imaging (7 papers)Medical Imaging Techniques and Applications (7 papers)Advanced MRI Techniques and Applications (6 papers)
Partner nations
ChinaUnited States

In The Last Decade

Taohui Xiao

14 papers receiving 378 citations

Peers

Taohui Xiao
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 321
  • Biomedical Engineering 94
  • Computer Vision and Pattern Recognition 76
  • Computational Mechanics 57
  • Artificial Intelligence 36
Replace Thanh Nguyen-Duc with:
Thanh Nguyen-Duc Australia
Jinseong Jang South Korea
Bartłomiej W. Papież United Kingdom
Eunju Cha South Korea
Éric Van Reeth France
Salman Ul Hassan Dar Türkiye
Mahmut Yurt United States
Şerban Morcovescu United States
Karim Armanious Germany
Ailong Cai China
Taohui Xiao relative to Thanh Nguyen-Duc Australia Thanh Nguyen-Duc's profile →
Citations per field
00.5×1.7×
Thanh Nguyen-Duc · 1×
Citations per year

Countries citing papers authored by Taohui Xiao

Since Specialization
Citations

This map shows the geographic impact of Taohui Xiao'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 Taohui Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taohui Xiao more than expected).

Fields of papers citing papers by Taohui Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taohui Xiao. 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 Taohui Xiao. The network helps show where Taohui Xiao may publish in the future.

Co-authorship network of co-authors of Taohui Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Taohui Xiao. A scholar is included among the top collaborators of Taohui Xiao 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 Taohui Xiao. Taohui Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 2
5 9
6 1
7 66
8 158
9 3
10 49
11 12
12 5
13
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising
2
14 14
15 60

About Taohui Xiao

Taohui Xiao is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Obstetrics and Gynecology, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (321 citations), Computer Vision and Pattern Recognition (76 citations) and Radiation (27 citations). Taohui Xiao has collaborated with scholars based in China and United States. Frequent co-authors include Shanshan Wang, Hairong Zheng, Leslie Ying, Dong Liang, Qiegen Liu, Ziwen Ke, Meiyun Wang, Xin Liu, Zaiyi Liu and Xiran Jiang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Magnetic Resonance Imaging.

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.

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