Taohui Xiao

595 total citations
15 papers, 383 citations indexed

About

Taohui Xiao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Taohui Xiao has authored 15 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Taohui Xiao's 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). Taohui Xiao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). Taohui Xiao collaborates with scholars based in China and United States. Taohui Xiao's co-authors include Shanshan Wang, Hairong Zheng, Leslie Ying, Dong Liang, Qiegen Liu, Ziwen Ke, Meiyun Wang, Xin Liu, Zaiyi Liu and Xiran Jiang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Magnetic Resonance Imaging.

In The Last Decade

Taohui Xiao

14 papers receiving 378 citations

Peers

Taohui Xiao

RNMI

CVPR

Jinseong Jang South Korea

Taejoon Eo South Korea

Thanh Nguyen-Duc Australia

Yohan Jun South Korea

Eunju Cha South Korea

Éric Van Reeth France

Salman Ul Hassan Dar Türkiye

Hongxia Yin China

Christopher M. Sandino United States

Mahmut Yurt United States

Jinseong Jang South Korea

Taohui Xiao

346 ×1.1

RNMI

115 ×1.2

117 ×1.5

CVPR

58 ×1.0

53 ×1.5

Citations per year, relative to Taohui Xiao Taohui Xiao (= 1×) peers Jinseong Jang

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

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15 of 15 papers shown

Xiao, Taohui, et al.. (2025). SamRobNODDI: q-space sampling-augmented continuous representation learning for robust and generalized NODDI. Physics in Medicine and Biology. 70(17). 175015–175015.

Lü, Hang, et al.. (2025). Prior knowledge-based multi-task learning network for pulmonary nodule classification. Computerized Medical Imaging and Graphics. 121. 102511–102511. 1 indexed citations

Fu, Yu, et al.. (2024). Automatic Lung Ventilation Estimation Using Supervoxel Multi-Feature Fusion Combined with CT Image Registration. Journal of Medical and Biological Engineering. 44(3). 412–425. 1 indexed citations

Fu, Yu, Hong Zhang, Taohui Xiao, et al.. (2023). Qualitative analysis of PD-L1 expression in non-small-cell lung cancer based on chest CT radiomics. Biomedical Signal Processing and Control. 84. 104815–104815. 2 indexed citations

Fu, Yu, et al.. (2022). Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules. IEEE Journal of Biomedical and Health Informatics. 27(1). 109–120. 9 indexed citations

Zhang, Zhili, et al.. (2022). 3D multi‐resolution attention capsule network for diagnosing multi‐pathological types of pulmonary nodules. International Journal of Imaging Systems and Technology. 32(5). 1727–1742. 1 indexed citations

Wang, Shanshan, Taohui Xiao, Qiegen Liu, & Hairong Zheng. (2021). Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data. Biomedical Signal Processing and Control. 68. 102579–102579. 66 indexed citations

Wang, Shanshan, Leslie Ying, Taohui Xiao, et al.. (2020). DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. Magnetic Resonance Imaging. 68. 136–147. 158 indexed citations

Wang, Shanshan, Taohui Xiao, Qiegen Liu, & Hairong Zheng. (2020). Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data. arXiv (Cornell University). 3 indexed citations

10.

Xiao, Taohui, Xiran Jiang, Zaiyi Liu, et al.. (2020). Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. Biomedical Signal Processing and Control. 58. 101869–101869. 49 indexed citations

11.

Liu, Qiegen, et al.. (2020). Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. 1–5. 12 indexed citations

12.

Wang, Shanshan, Yanxia Chen, Taohui Xiao, et al.. (2020). LANTERN: Learn analysis transform network for dynamic magnetic resonance imaging. Inverse Problems and Imaging. 15(6). 1363–1379. 5 indexed citations

13.

Teng, Yueyang, Hongming Shan, Taohui Xiao, et al.. (2019). Parameter Constrained Transfer Learning for Low Dose PET Image Denoising. arXiv (Cornell University). 2 indexed citations

14.

Xiao, Taohui, et al.. (2019). Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. 208–213. 14 indexed citations

15.

Wang, Shanshan, Yuan Gao, Qiegen Liu, et al.. (2017). Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. IEEE Transactions on Medical Imaging. 37(1). 251–261. 60 indexed citations

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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