Xinhua Ye

1.2k total citations
37 papers, 536 citations indexed

About

Xinhua Ye is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xinhua Ye has authored 37 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xinhua Ye's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Thyroid Cancer Diagnosis and Treatment (12 papers) and Sarcoma Diagnosis and Treatment (8 papers). Xinhua Ye is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Thyroid Cancer Diagnosis and Treatment (12 papers) and Sarcoma Diagnosis and Treatment (8 papers). Xinhua Ye collaborates with scholars based in China and Japan. Xinhua Ye's co-authors include Jing Hang, Jing Deng, Feihong Yu, Xiaohong Wu, Ting Xu, Jianxiang Wang, Yuzhi Zhang, Shuhang Xu, Di Xu and Runxin Wu and has published in prestigious journals such as Scientific Reports, Acta Biomaterialia and RSC Advances.

In The Last Decade

Xinhua Ye

34 papers receiving 529 citations

Peers

Xinhua Ye
Xingjian Lai China
Nami Choi South Korea
Ko Woon Park South Korea
Jieun Koh South Korea
Chang Suk Park South Korea
Changli Li China
Taewoo Kang South Korea
Qiyu Zhao China
Su Yeon Ko South Korea
Xingjian Lai China
Xinhua Ye
Citations per year, relative to Xinhua Ye Xinhua Ye (= 1×) peers Xingjian Lai

Countries citing papers authored by Xinhua Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xinhua Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhua Ye. A scholar is included among the top collaborators of Xinhua Ye 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 Xinhua Ye. Xinhua Ye 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.
Xu, Chaoli, Jiahong Dong, Meng Chen, et al.. (2024). Engineered microalgae for photo-sonodynamic synergistic therapy in breast cancer treatment. Acta Biomaterialia. 193. 531–544. 14 indexed citations
2.
3.
Wang, Cuiwei, Teng Zhang, Shuwen Sun, et al.. (2023). Preoperative Contrast‐Enhanced Ultrasound Predicts Microvascular Invasion in Hepatocellular Carcinoma as Accurately as Contrast‐Enhanced MR. Journal of Ultrasound in Medicine. 43(3). 439–453. 1 indexed citations
4.
Chen, Wenqin, et al.. (2023). A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images. Scientific Reports. 13(1). 3346–3346. 2 indexed citations
5.
Chen, Wenqin, et al.. (2023). The role of ultrasound quantitative parameters in the assessment of acute radiodermatitis after breast-conserving surgery. Journal of Radiation Research. 64(3). 574–581. 2 indexed citations
6.
7.
Ma, Qian, et al.. (2022). Diagnostic Performance of US and MRI in Predicting Malignancy of Soft Tissue Masses: Using a Scoring System. Frontiers in Oncology. 12. 853232–853232. 7 indexed citations
8.
9.
Ye, Heng, Jing Hang, Meimei Zhang, et al.. (2021). Automatic identification of triple negative breast cancer in ultrasonography using a deep convolutional neural network. Scientific Reports. 11(1). 20474–20474. 14 indexed citations
10.
Wu, Mengjie, et al.. (2021). Diagnostic Performance of Elastography in Malignant Soft Tissue Tumors: A Systematic Review and Meta-analysis. Ultrasound in Medicine & Biology. 47(4). 855–868. 12 indexed citations
11.
Wang, Pingping, Hai Li, Yu Hu, et al.. (2021). Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma. Frontiers in Oncology. 11. 687878–687878. 6 indexed citations
12.
Ye, Heng, Jing Hang, Xiaowei Chen, et al.. (2020). An intelligent platform for ultrasound diagnosis of thyroid nodules. Scientific Reports. 10(1). 13223–13223. 18 indexed citations
13.
Xu, Ting, et al.. (2019). BRAFV600E vs. TIRADS in predicting papillary thyroid cancers in Bethesda system I, III, and V nodules. Cancer Biology and Medicine. 16(1). 131–131. 19 indexed citations
14.
Yu, Feihong, et al.. (2019). Ultrasound-based radiomics nomogram: A potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer. European Journal of Radiology. 119. 108658–108658. 84 indexed citations
15.
Xie, Weiping, et al.. (2018). Handgrip exercise reduces peripherally-inserted central catheter-related venous thrombosis in patients with solid cancers: A randomized controlled trial. International Journal of Nursing Studies. 86. 99–106. 29 indexed citations
16.
Zhang, Yuzhi, Ting Xu, Xinhua Ye, et al.. (2018). Effectiveness evaluation of the Thyroid Imaging Report and Data System proposed by American Radiological Society (2017) (ACR-TIRADS) for differential diagnosis in thyroid nodules. Zhonghua chaosheng yingxiangxue zazhi. 27(6). 505–509. 1 indexed citations
17.
Xu, Ting, Runxin Wu, Yuzhi Zhang, et al.. (2018). Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination. Endocrine. 64(2). 299–307. 90 indexed citations
18.
Hang, Jing, et al.. (2017). Investigation of the maximum Young's modulus of thyroid nodules using two-dimensional shear wave elastography in thyroid nodules. Biomedical Research-tokyo. 28(8). 3537–3544. 2 indexed citations
19.
Xu, Ting, Xinhua Ye, Shuhang Xu, et al.. (2017). Thyroid nodule sizes influence the diagnostic performance of TIRADS and ultrasound patterns of 2015 ATA guidelines: a multicenter retrospective study. Scientific Reports. 7(1). 43183–43183. 42 indexed citations
20.
Zhang, Yuzhi, Ting Xu, Cuiying Li, et al.. (2016). Application of high-resolution ultrasound, real-time elastography, and contrast-enhanced ultrasound in differentiating solid thyroid nodules. Medicine. 95(45). e5329–e5329. 43 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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