Chaoxue Zhang

556 total citations
70 papers, 314 citations indexed

About

Chaoxue Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Hepatology. According to data from OpenAlex, Chaoxue Zhang has authored 70 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Epidemiology and 14 papers in Hepatology. Recurrent topics in Chaoxue Zhang's work include Radiomics and Machine Learning in Medical Imaging (26 papers), Liver Disease Diagnosis and Treatment (13 papers) and MRI in cancer diagnosis (11 papers). Chaoxue Zhang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (26 papers), Liver Disease Diagnosis and Treatment (13 papers) and MRI in cancer diagnosis (11 papers). Chaoxue Zhang collaborates with scholars based in China, Switzerland and United Kingdom. Chaoxue Zhang's co-authors include Hu Peng, Chichao Zheng, Chao Zhu, Enfa Zhao, Wanyan Li, Ling Wang, Weijun Zhou, Jianming Xu, Wenjuan Jiang and Bing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Chaoxue Zhang

55 papers receiving 310 citations

Peers

Chaoxue Zhang
Yongping Lu China
A. Bleuzen France
Donghui Guo China
Sylvain Bodard France
Daohui Yang China
Junqiang Lei China
Xiao-wen Huang China
Zhuoyue Tang China
H. Frey Germany
Yura Ahn South Korea
Yongping Lu China
Chaoxue Zhang
Citations per year, relative to Chaoxue Zhang Chaoxue Zhang (= 1×) peers Yongping Lu

Countries citing papers authored by Chaoxue Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxue Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoxue Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoxue Zhang. A scholar is included among the top collaborators of Chaoxue Zhang 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 Chaoxue Zhang. Chaoxue Zhang 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.
Zhou, Yi, Xiaoling Liu, Ting Cheng, et al.. (2025). Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study. La radiologia medica. 130(6). 889–904.
2.
Zhang, Di, Zhiyuan Wang, Chaoxue Zhang, et al.. (2025). Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography. Cancer Imaging. 25(1). 13–13.
3.
Sun, Dengdi, et al.. (2025). Challenge-aware U-net for breast lesion segmentation in ultrasound images. Pattern Recognition. 168. 111851–111851.
4.
5.
Zhang, Hanqi, et al.. (2024). Bladder involvement in placenta accreta spectrum disorders: 2D US combined with the 3D crystal Vue and MRI comparative analysis. BMC Pregnancy and Childbirth. 24(1). 788–788. 1 indexed citations
6.
Ren, Jie, Xiangyang Huang, Dongmei Yang, & Chaoxue Zhang. (2024). Evaluating the efficacy of sequential cross-sectional scanning and combined teaching methods for prenatal screening of fetal conotruncal anomalies. BMC Medical Education. 24(1). 1527–1527.
7.
8.
Zhang, Jingshu, et al.. (2024). A Novel Ultrasound-Based Radiomics Model for the Preoperative Prediction of Lymph Node Metastasis in Cervical Cancer. Ultrasound in Medicine & Biology. 50(12). 1793–1799. 2 indexed citations
9.
Xu, Fangfang, PC Lai, Qianhua Xu, et al.. (2024). An explainable ultrasound-based machine learning model for predicting reproductive outcomes after frozen embryo transfer. Reproductive BioMedicine Online. 50(5). 104743–104743. 1 indexed citations
10.
Cheng, Dongliang, et al.. (2023). Development of a novel combined nomogram model integrating deep learning radiomics to diagnose IgA nephropathy clinically. Renal Failure. 45(2). 2271104–2271104. 6 indexed citations
11.
Zhang, Di, et al.. (2023). An overview of ultrasound-derived radiomics and deep learning in liver. Medical Ultrasonography. 25(4). 445–445. 6 indexed citations
12.
Zhao, Enfa, et al.. (2023). Patterns of weight change during adulthood and incidence of nephrolithiasis: a population-based study. International Journal of Obesity. 48(4). 461–468. 1 indexed citations
13.
Zhu, Chao, et al.. (2023). Noninvasive Evaluation of Lupus Nephritis Activity Using a Radiomics Machine Learning Model Based on Ultrasound. Journal of Inflammation Research. Volume 16. 433–441. 13 indexed citations
14.
Lu, Xiaofeng, et al.. (2023). A feasible method to evaluate fetal palate: sequential sector-scan through oral fissure. BMC Pregnancy and Childbirth. 23(1). 157–157. 1 indexed citations
15.
Yu, Xiang, et al.. (2022). The Diagnostic Significance of the BI‐RADS Classification Combined With Automated Breast Volume Scanner and Shear Wave Elastography for Breast Lesions. Journal of Ultrasound in Medicine. 42(7). 1459–1469. 3 indexed citations
16.
Wang, Junli, Chao Zhu, Jing Qin, et al.. (2022). Automatic Breast Volume Scanner and B-Ultrasound-Based Radiomics Nomogram for Clinician Management of BI-RADS 4A Lesions. Academic Radiology. 30(8). 1628–1637. 9 indexed citations
17.
Pan, Jingwen, et al.. (2022). Improving axial resolution based on the deconvolution recovery method combined with adaptive weighting techniques for ultrasound imaging. Technology and Health Care. 31(1). 217–237. 2 indexed citations
18.
19.
He, Danqing, et al.. (2020). Diagnosis of liver fibrosis in patients with hepatitis B–related liver disease using ultrasound with wave-number domain attenuation coefficient. The Turkish Journal of Gastroenterology. 31(12). 923–929. 1 indexed citations
20.
Jiang, Wenjuan, Tai Ma, Chaoxue Zhang, et al.. (2019). Identification of urinary candidate biomarkers of cisplatin-induced nephrotoxicity in patients with carcinoma. Journal of Proteomics. 210. 103533–103533. 20 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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