Xiaoduo Yu

589 total citations
41 papers, 390 citations indexed

About

Xiaoduo Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaoduo Yu has authored 41 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Obstetrics and Gynecology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaoduo Yu's work include MRI in cancer diagnosis (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Endometrial and Cervical Cancer Treatments (14 papers). Xiaoduo Yu is often cited by papers focused on MRI in cancer diagnosis (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Endometrial and Cervical Cancer Treatments (14 papers). Xiaoduo Yu collaborates with scholars based in China, United States and Spain. Xiaoduo Yu's co-authors include Han Ouyang, Meng Lin, Lizhi Xie, Chunwu Zhou, Hong‐Tu Zhang, Xinming Zhao, Qi Zhang, Jieying Zhang, Shuang Chen and Bing Wu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaoduo Yu

38 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoduo Yu China 11 271 115 109 46 45 41 390
D. Deshpande India 9 101 0.4× 129 1.1× 120 1.1× 49 1.1× 37 0.8× 27 394
Benjapa Khiewvan Thailand 9 182 0.7× 52 0.5× 135 1.2× 55 1.2× 50 1.1× 17 350
Cornelius Maihöfer Germany 5 64 0.2× 42 0.4× 66 0.6× 9 0.2× 92 2.0× 6 290
K.J. Maria Das India 12 145 0.5× 108 0.9× 176 1.6× 16 0.3× 38 0.8× 42 425
Yonggang Lu United States 15 497 1.8× 14 0.1× 45 0.4× 10 0.2× 41 0.9× 21 564
M. Bouzgarrou France 8 149 0.5× 57 0.5× 173 1.6× 61 1.3× 14 0.3× 15 316
Takashi Togawa Japan 10 154 0.6× 80 0.7× 70 0.6× 35 0.8× 117 2.6× 35 363
Fangyuan Qu China 6 351 1.3× 45 0.4× 281 2.6× 14 0.3× 68 1.5× 7 437
Teuta Zoto Mustafayev Türkiye 11 155 0.6× 15 0.1× 173 1.6× 7 0.2× 50 1.1× 36 369
Kohei Sasaguri Japan 8 193 0.7× 27 0.2× 229 2.1× 28 0.6× 25 0.6× 12 332

Countries citing papers authored by Xiaoduo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoduo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoduo Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoduo Yu. A scholar is included among the top collaborators of Xiaoduo Yu 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 Xiaoduo Yu. Xiaoduo Yu 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
1.
Li, Xiaolu, et al.. (2025). The Potential of Model‐Free Parameters Derived From IVIM in Evaluating Pathological Indicators and Long‐Term Survival in NPC. Journal of Magnetic Resonance Imaging. 62(1). 73–86. 1 indexed citations
2.
Li, Tianran, et al.. (2025). IGDT-based two-layer optimization of trading strategies in multi-energy markets. Energy. 333. 137374–137374.
3.
Yang, Fan, Wenjing Peng, Haoran Wei, et al.. (2025). Model-free parameters derived from intravoxel inherent motion combined with tumor aggressiveness indicators in predicting 5-year treatment outcome in NPC. Oral Oncology. 162. 107187–107187. 1 indexed citations
4.
Yang, Fan, Xiaolu Li, Xiaoduo Yu, et al.. (2023). Pretreatment synthetic magnetic resonance imaging predicts disease progression in nonmetastatic nasopharyngeal carcinoma after intensity modulation radiation therapy. Insights into Imaging. 14(1). 59–59. 5 indexed citations
5.
Zhang, Xiaomiao, Jingwei Zhao, Qi Zhang, et al.. (2022). MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy. Cancer Imaging. 22(1). 35–35. 16 indexed citations
6.
Huang, Guanghua, et al.. (2022). Splenomegaly during oxaliplatin-based chemotherapy: impact on blood parameters and anti-neoplastic treatment. Translational Cancer Research. 11(7). 1880–1888. 6 indexed citations
7.
Zhang, Xiaomiao, Qi Zhang, Yan Chen, et al.. (2022). MRI-based radiomics for pretreatment prediction of response to concurrent chemoradiotherapy in locally advanced cervical squamous cell cancer. Abdominal Radiology. 48(1). 367–376. 6 indexed citations
8.
Zhang, Xiaomiao, Qi Zhang, Lizhi Xie, et al.. (2022). The Value of Whole-Tumor Texture Analysis of ADC in Predicting the Early Recurrence of Locally Advanced Cervical Squamous Cell Cancer Treated With Concurrent Chemoradiotherapy. Frontiers in Oncology. 12. 852308–852308. 6 indexed citations
9.
Zhang, Qi, Jinxia Guo, Han Ouyang, et al.. (2021). Added-value of dynamic contrast-enhanced MRI on prediction of tumor recurrence in locally advanced cervical cancer treated with chemoradiotherapy. European Radiology. 32(4). 2529–2539. 6 indexed citations
10.
Zhang, Qi, Xiaoduo Yu, Han Ouyang, et al.. (2021). Whole-tumor texture model based on diffusion kurtosis imaging for assessing cervical cancer: a preliminary study. European Radiology. 31(8). 5576–5585. 18 indexed citations
11.
An, Changming, Ying Sun, Susheng Miao, et al.. (2021). Retropharyngeal Lymph Node Metastasis Diagnosed by Magnetic Resonance Imaging in Hypopharyngeal Carcinoma: A Retrospective Analysis From Chinese Multi-Center Data. Frontiers in Oncology. 11. 649540–649540. 10 indexed citations
12.
Zhang, Qi, Han Ouyang, Feng Ye, et al.. (2020). Feasibility of intravoxel incoherent motion diffusion-weighted imaging in distinguishing adenocarcinoma originated from uterine corpus or cervix. Abdominal Radiology. 46(2). 732–744. 10 indexed citations
13.
14.
Lin, Meng, Xiaoduo Yu, Dehong Luo, et al.. (2018). Investigating the correlation of arterial spin labeling and dynamic contrast enhanced perfusion in primary tumor of nasopharyngeal carcinoma. European Journal of Radiology. 108. 222–229. 15 indexed citations
15.
16.
Lin, Meng, Xiaoduo Yu, Han Ouyang, Dehong Luo, & Chunwu Zhou. (2015). Consistency of T2WI-FS/ASL fusion images in delineating the volume of nasopharyngeal carcinoma. Scientific Reports. 5(1). 18431–18431. 11 indexed citations
17.
Li, Lin, Yong Wang, Yanfeng Zhao, et al.. (2014). Evaluation with low-dose dual-phase helical computed tomography of patients with thyroid lesions. Chinese Medical Journal. 127(22). 3937–3943. 2 indexed citations
18.
Du, Chunxia, Ruoxi Hong, Yuehua Liu, et al.. (2014). Scalp metastasis from gastric cancer: A case report and literature review. Oncology Letters. 9(2). 641–644. 4 indexed citations
19.
Du, Chunxia, Ruoxi Hong, Yuankai Shi, Xiaoduo Yu, & Jinwan Wang. (2013). Leptomeningeal metastasis from solid tumors: a single center experience in Chinese patients. Journal of Neuro-Oncology. 115(2). 285–291. 19 indexed citations
20.
Yu, Xiaoduo, Meng Lin, Han Ouyang, Chunwu Zhou, & Hong‐Tu Zhang. (2012). Application of ADC measurement in characterization of renal cell carcinomas with different pathological types and grades by 3.0T diffusion-weighted MRI. European Journal of Radiology. 81(11). 3061–3066. 67 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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