Yuankui Wu

768 total citations
58 papers, 538 citations indexed

About

Yuankui Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Biomedical Engineering. According to data from OpenAlex, Yuankui Wu has authored 58 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Genetics and 9 papers in Biomedical Engineering. Recurrent topics in Yuankui Wu's work include MRI in cancer diagnosis (17 papers), Glioma Diagnosis and Treatment (15 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Yuankui Wu is often cited by papers focused on MRI in cancer diagnosis (17 papers), Glioma Diagnosis and Treatment (15 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Yuankui Wu collaborates with scholars based in China, United States and Netherlands. Yuankui Wu's co-authors include Yikai Xu, Xiaodan Li, Xiang Xiao, Jun Hua, Chenggong Yan, A. James Barkovich, Nancy J. Fischbein, B. O. Berg, Tomoki Hashimoto and Wei Xiong and has published in prestigious journals such as Scientific Reports, Radiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Yuankui Wu

54 papers receiving 525 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuankui Wu China 14 222 92 92 80 79 58 538
Guiyun Wu United States 16 184 0.8× 67 0.7× 57 0.6× 119 1.5× 64 0.8× 40 661
Young Jin Ryu South Korea 16 311 1.4× 129 1.4× 113 1.2× 153 1.9× 38 0.5× 38 630
Kavous Firouznia Iran 14 132 0.6× 114 1.2× 45 0.5× 72 0.9× 58 0.7× 75 675
Ryo Kurokawa Japan 15 227 1.0× 141 1.5× 70 0.8× 100 1.3× 90 1.1× 124 829
Il Ki Hong South Korea 15 163 0.7× 91 1.0× 60 0.7× 101 1.3× 34 0.4× 49 574
Hideki Otsuka Japan 17 300 1.4× 129 1.4× 68 0.7× 231 2.9× 59 0.7× 84 701
Houman Sotoudeh United States 17 331 1.5× 118 1.3× 189 2.1× 129 1.6× 35 0.4× 74 814
Raimund Kottke Switzerland 18 188 0.8× 78 0.8× 217 2.4× 142 1.8× 33 0.4× 61 767
Maximilian Schulze Germany 14 238 1.1× 85 0.9× 110 1.2× 80 1.0× 55 0.7× 46 548
Achim Seeger Germany 18 448 2.0× 166 1.8× 86 0.9× 193 2.4× 36 0.5× 51 788

Countries citing papers authored by Yuankui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuankui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuankui Wu

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

All Works

20 of 20 papers shown
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Xu, Peng, Yuankui Wu, Chu Han, et al.. (2024). CroMAM: A Cross-Magnification Attention Feature Fusion Model for Predicting Genetic Status and Survival of Gliomas Using Histological Images. IEEE Journal of Biomedical and Health Informatics. 28(12). 7345–7356. 3 indexed citations
3.
Lv, Shichao, Dazhao Wang, Quan Dong, et al.. (2024). Transparent Composite for Cooperative Near‐infrared and X‐ray Imaging. Laser & Photonics Review. 19(6). 6 indexed citations
4.
Chen, Weicui, Kaiyi Zheng, W. L. Yuan, et al.. (2024). A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study. La radiologia medica. 130(2). 214–225. 1 indexed citations
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Zhong, Liming, Hai Shu, Kaiyi Zheng, et al.. (2024). NCCT-to-CECT synthesis with contrast-enhanced knowledge and anatomical perception for multi-organ segmentation in non-contrast CT images. Medical Image Analysis. 100. 103397–103397. 1 indexed citations
8.
Xu, Hui, Wenbing Lv, Hao Zhang, et al.. (2023). Multimodality radiomics analysis based on [18F]FDG PET/CT imaging and multisequence MRI: application to nasopharyngeal carcinoma prognosis. European Radiology. 33(10). 6677–6688. 6 indexed citations
9.
Wen, Liang, Xiaodan Li, Xiang Xiao, et al.. (2022). Machine learning–based multiparametric magnetic resonance imaging radiomics model for distinguishing central neurocytoma from glioma of lateral ventricle. European Radiology. 33(6). 4259–4269. 3 indexed citations
10.
Li, Xiaodan, et al.. (2021). Inflow-based vascular-space-occupancy (iVASO) might potentially predict IDH mutation status and tumor grade in diffuse cerebral gliomas. Journal of Neuroradiology. 49(3). 267–274. 4 indexed citations
11.
Xiao, Xiang, Xian Liu, Liang Wen, et al.. (2021). Conventional MRI Features of Central Nervous System Embryonal Tumor, Not Otherwise Specified in Adults: Comparison with Glioblastoma. Academic Radiology. 29. S44–S51. 2 indexed citations
12.
Xiao, Xiang, et al.. (2020). The Added Value of Inflow-Based Vascular-Space-Occupancy and Diffusion-Weighted Imaging in Preoperative Grading of Gliomas. Neurodegenerative Diseases. 20(4). 123–130. 3 indexed citations
13.
Miao, Xinyuan, Yuankui Wu, Dapeng Liu, et al.. (2019). Whole-Brain Functional and Diffusion Tensor MRI in Human Participants with Metallic Orthodontic Braces. Radiology. 294(1). 149–157. 15 indexed citations
14.
Zhong, Liming, Yanlin Chen, Xiao Zhang, et al.. (2019). Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction. IEEE Journal of Biomedical and Health Informatics. 24(4). 1114–1124. 10 indexed citations
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Liu, Xiaomin, Zhi Liu, Xiaodan Li, et al.. (2019). Differential detection of metastatic and inflammatory lymph nodes using intravoxel incoherent motion diffusion-weighted imaging. Magnetic Resonance Imaging. 65. 62–66. 2 indexed citations
17.
Xiao, Xiang, et al.. (2018). Detecting GPC3-Expressing Hepatocellular Carcinoma with L5 Peptide-Guided Pretargeting Approach: In Vitro and In Vivo MR Imaging Experiments. Contrast Media & Molecular Imaging. 2018. 1–11. 12 indexed citations
18.
Niu, Chen, Xiaojin Liu, Kai Han, et al.. (2017). Cortical thickness reductions associate with abnormal resting-state functional connectivity in non-neuropsychiatric systemic lupus erythematosus. Brain Imaging and Behavior. 12(3). 674–684. 22 indexed citations
19.
Wu, Yuankui, Shruti Agarwal, Craig Jones, et al.. (2016). Measurement of arteriolar blood volume in brain tumors using MRI without exogenous contrast agent administration at 7T. Journal of Magnetic Resonance Imaging. 44(5). 1244–1255. 13 indexed citations
20.
Tian, Yu, Yikai Xu, Long Li, et al.. (2009). Esthesioneuroblastoma methods of intracranial extension: CT and MR imaging findings. Neuroradiology. 51(12). 841–850. 35 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Guiyun Wu Breakdown of academic impact, for papers by Young Jin Ryu Breakdown of academic impact, for papers by Kavous Firouznia Breakdown of academic impact, for papers by Ryo Kurokawa Breakdown of academic impact, for papers by Il Ki Hong Breakdown of academic impact, for papers by Hideki Otsuka Breakdown of academic impact, for papers by Houman Sotoudeh Breakdown of academic impact, for papers by Raimund Kottke Breakdown of academic impact, for papers by Maximilian Schulze Breakdown of academic impact, for papers by Achim Seeger
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