Xuedong Yang

705 total citations
32 papers, 461 citations indexed

About

Xuedong Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Xuedong Yang has authored 32 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Artificial Intelligence. Recurrent topics in Xuedong Yang's work include Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (4 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Xuedong Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (4 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Xuedong Yang collaborates with scholars based in China, Canada and United States. Xuedong Yang's co-authors include Xiaoying Wang, Shihui Han, Georg Northoff, Gang Wang, Moritz de Greck, He Wang, Hongli Lin, Weisheng Wang, Zhenhao Shi and Gang Wang and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Magnetic Resonance Imaging.

In The Last Decade

Xuedong Yang

29 papers receiving 452 citations

Peers

Xuedong Yang

PRM

RNMI

ECP

Elien Bellon Belgium

Caterina Villani Italy

Scott H. Faro United States

Francesca Ferroni Italy

Yuriko Yasuda Japan

Damien Litchfield United Kingdom

Franziska Hofer Switzerland

Ana Maria Marques da Silva Brazil

Enrico Ripamonti Italy

Sarah Bär Switzerland

Elien Bellon Belgium

Xuedong Yang

31 ×0.2

68 ×0.6

PRM

80 ×0.7

123 ×1.2

RNMI

73 ×1.4

ECP

Citations per year, relative to Xuedong Yang Xuedong Yang (= 1×) peers Elien Bellon

Countries citing papers authored by Xuedong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xuedong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuedong Yang

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

All Works

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20 of 20 papers shown

Shi, Shan, Kuo Zhang, Feng Zhang, et al.. (2025). AI-assisted radiologists vs. standard double reading for rib fracture detection on CT images: A real-world clinical study. PLoS ONE. 20(1). e0316732–e0316732. 2 indexed citations

Yang, Xuedong, et al.. (2021). Service Quality Evaluation of Terminal Express Delivery Based on an Integrated SERVQUAL-AHP-TOPSIS Approach. Mathematical Problems in Engineering. 2021. 1–10. 15 indexed citations

Liu, Xiuxiang, Zhenchang Wang, Hua Ren, et al.. (2020). Evaluating postoperative anal fistula prognosis by diffusion-weighted MRI. European Journal of Radiology. 132. 109294–109294. 12 indexed citations

Gao, Ge, Xiaodong Zhang, Juan Hu, et al.. (2017). Quantitative analysis of diffusion-weighted magnetic resonance images: differentiation between prostate cancer and normal tissue based on a computer-aided diagnosis system. Science China Life Sciences. 60(1). 37–43. 13 indexed citations

Lin, Hongli, Chang–Xing Huang, Weisheng Wang, et al.. (2017). Measuring Interobserver Disagreement in Rating Diagnostic Characteristics of Pulmonary Nodule Using the Lung Imaging Database Consortium and Image Database Resource Initiative. Academic Radiology. 24(4). 401–410. 5 indexed citations

Bi, Shusheng, et al.. (2017). Prioritization of liver MRI for distinguishing focal lesions. Science China Life Sciences. 60(1). 28–36. 6 indexed citations

Chen, Rui, Bilgin Keserci, Xiaoying Wang, et al.. (2016). The safety and effectiveness of volumetric magnetic resonance-guided high-intensity focused ultrasound treatment of symptomatic uterine fibroids: early clinical experience in China. Journal of Therapeutic Ultrasound. 4(1). 27–27. 22 indexed citations

Gao, Ge, Dong Fang, Feiyu Li, et al.. (2016). The efficiency of multiparametric magnetic resonance imaging (mpMRI) using PI-RADS Version 2 in the diagnosis of clinically significant prostate cancer. Clinical Imaging. 40(5). 885–888. 62 indexed citations

Liu, Jing, Juan Wei, Bilgin Keserci, et al.. (2015). T2*‐weighted imaging in the assessment of the non‐perfused volume of uterine fibroids following magnetic resonance‐guided high‐intensity focused ultrasound ablation. International Journal of Gynecology & Obstetrics. 132(1). 100–102. 4 indexed citations

10.

Wang, Weisheng, Jiawei Luo, Xuedong Yang, & Hongli Lin. (2015). Data Analysis of the Lung Imaging Database Consortium and Image Database Resource Initiative. Academic Radiology. 22(4). 488–495. 19 indexed citations

11.

Zhao, Kai, Juan Hu, Xuedong Yang, et al.. (2015). Prostate cancer identification: quantitative analysis of T2-weighted MR images based on a back propagation artificial neural network model. Science China Life Sciences. 58(7). 666–673. 30 indexed citations

12.

Lin, Hongli, et al.. (2014). A Performance Weighted Collaborative Filtering algorithm for personalized radiology education. Journal of Biomedical Informatics. 51. 107–113. 2 indexed citations

13.

Lin, Hongli, Weisheng Wang, Jiawei Luo, & Xuedong Yang. (2014). Development of a Personalized Training System Using the Lung Image Database Consortium and Image Database Resource Initiative Database. Academic Radiology. 21(12). 1614–1622. 6 indexed citations

14.

Gao, Weihua, et al.. (2012). [Tortuosity and kinking of cervical segment of internal carotid artery: an analysis of 7 cases].. PubMed. 47(11). 913–7. 6 indexed citations

15.

Zhang, Zhongyuan, Qi Tang, Xuesong Li, et al.. (2012). [Clinical analysis of the application of R.E.N.A.L. nephrometry score for the nephron sparing surgery].. PubMed. 44(4). 539–43. 1 indexed citations

16.

Greck, Moritz de, Zhenhao Shi, Gang Wang, et al.. (2011). Culture modulates brain activity during empathy with anger. NeuroImage. 59(3). 2871–2882. 79 indexed citations

17.

Xiao, Qinghan & Xuedong Yang. (2010). Facial Recognition in Uncontrolled Conditions for Information Security. EURASIP Journal on Advances in Signal Processing. 2010(1). 6 indexed citations

18.

Zhuang, Jie, Huijun Chen, Jing Wang, et al.. (2008). Dynamic Contrast-Enhanced Magnetic Resonance Images of the Kidney. IEEE Engineering in Medicine and Biology Magazine. 27(5). 36–41. 4 indexed citations

19.

Zhang, Dafang, et al.. (2004). WINDAR: a multithreaded rollback-recovery toolkit on windows. ucb csd 2 1175. 395–400. 2 indexed citations

20.

Wong, S. K. M., et al.. (1992). <title>Selection of small color palette for color image quantization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1657. 326–333. 2 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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