Minghua Yao

936 total citations
47 papers, 748 citations indexed

About

Minghua Yao is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Minghua Yao has authored 47 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Biomedical Engineering and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Minghua Yao's work include Ultrasound Imaging and Elastography (18 papers), Ultrasound and Hyperthermia Applications (16 papers) and Photoacoustic and Ultrasonic Imaging (14 papers). Minghua Yao is often cited by papers focused on Ultrasound Imaging and Elastography (18 papers), Ultrasound and Hyperthermia Applications (16 papers) and Photoacoustic and Ultrasonic Imaging (14 papers). Minghua Yao collaborates with scholars based in China, Finland and Taiwan. Minghua Yao's co-authors include Rong Wu, Ming Ma, Guang Xu, Hangrong Chen, Hui‐Xiong Xu, Xiaoqing Jia, Jianlin Shi, Hui Liu, Shu-Guang Zheng and Kun Zhang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Minghua Yao

45 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghua Yao China 14 447 251 147 140 112 47 748
Guang Xu China 14 763 1.7× 248 1.0× 135 0.9× 425 3.0× 170 1.5× 42 1.1k
Shu-Guang Zheng China 15 436 1.0× 140 0.6× 181 1.2× 126 0.9× 119 1.1× 24 837
Shay Keren Israel 11 377 0.8× 168 0.7× 91 0.6× 160 1.1× 57 0.5× 28 944
Lifang Jin China 13 353 0.8× 98 0.4× 68 0.5× 163 1.2× 42 0.4× 27 544
Pierangela Giustetto Italy 19 420 0.9× 156 0.6× 280 1.9× 136 1.0× 268 2.4× 33 904
Reshani Perera United States 16 658 1.5× 148 0.6× 139 0.9× 241 1.7× 70 0.6× 30 840
Guangliang Huang China 16 291 0.7× 364 1.5× 39 0.3× 97 0.7× 152 1.4× 55 1.2k
Haemin Kim South Korea 18 560 1.3× 117 0.5× 87 0.6× 123 0.9× 105 0.9× 48 1.2k
Yinhua Jin China 16 353 0.8× 200 0.8× 154 1.0× 249 1.8× 56 0.5× 29 859
Chihua Fang China 9 464 1.0× 64 0.3× 110 0.7× 197 1.4× 95 0.8× 40 653

Countries citing papers authored by Minghua Yao

Since Specialization
Citations

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

Fields of papers citing papers by Minghua Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghua Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Minghua Yao. A scholar is included among the top collaborators of Minghua Yao 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 Minghua Yao. Minghua Yao 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.
Du, Yu, Fang Li, Manqi Zhang, et al.. (2024). The Emergence of the Potential Therapeutic Targets: Ultrasound-Based Radiomics in the Prediction of Human Epidermal Growth Factor Receptor 2-Low Breast Cancer. Academic Radiology. 31(7). 2674–2683. 7 indexed citations
2.
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Yao, Minghua, et al.. (2023). Associations of plaque morphology and location with Intraplaque neovascularization in the carotid artery by contrast-enhanced ultrasound imaging. Frontiers in Neurology. 14. 1097070–1097070. 6 indexed citations
5.
Shen, Hui, Minghua Yao, Jie Shen, et al.. (2023). Metal protoporphyrin‐induced self‐assembly nanoprobe enabling precise tracking and antioxidant protection of stem cells for ischemic stroke therapy. SHILAP Revista de lepidopterología. 2(1). e20220037–e20220037. 7 indexed citations
6.
Chen, Jing, et al.. (2022). Multi-parameter ultrasonography-based predictive model for breast cancer diagnosis. Frontiers in Oncology. 12. 1027784–1027784. 5 indexed citations
7.
Li, Chunxiao, Huili Zhang, Jing Chen, et al.. (2022). Deep learning radiomics of ultrasonography for differentiating sclerosing adenosis from breast cancer. Clinical Hemorheology and Microcirculation. 84(2). 153–163. 6 indexed citations
8.
Li, Chunxiao, Li-Qiong Jia, Minghua Yao, et al.. (2022). A Convolutional Neural Network Based on Ultrasound Images of Primary Breast Masses: Prediction of Lymph-Node Metastasis in Collaboration With Classification of Benign and Malignant Tumors. Frontiers in Physiology. 13. 882648–882648. 5 indexed citations
9.
Li, Chunxiao, Minghua Yao, Xin Li, et al.. (2022). Ultrasonic multimodality imaging features and the classification value of nonpuerperal mastitis. Journal of Clinical Ultrasound. 50(5). 675–684. 2 indexed citations
10.
Yao, Minghua, Xiaojing Shi, Changjing Zuo, et al.. (2020). Engineering of SPECT/Photoacoustic Imaging/Antioxidative Stress Triple-Function Nanoprobe for Advanced Mesenchymal Stem Cell Therapy of Cerebral Ischemia. ACS Applied Materials & Interfaces. 12(34). 37885–37895. 44 indexed citations
11.
Li, Xin, Feng Gao, Fan Li, et al.. (2020). Qualitative analysis of contrast-enhanced ultrasound in the diagnosis of small, TR3–5 benign and malignant thyroid nodules measuring ≤1 cm. British Journal of Radiology. 93(1111). 20190923–20190923. 23 indexed citations
12.
Xiang, Li‐Hua, Yan Fang, Jing Wan, et al.. (2019). Shear-wave elastography: role in clinically significant prostate cancer with false-negative magnetic resonance imaging. European Radiology. 29(12). 6682–6689. 20 indexed citations
13.
Wan, Jing, Rong Wu, Minghua Yao, et al.. (2018). Acoustic radiation force impulse elastography in evaluation of triple-negative breast cancer: A preliminary experience. Clinical Hemorheology and Microcirculation. 70(3). 301–310. 8 indexed citations
14.
Xiang, Li‐Hua, Minghua Yao, Guang Xu, et al.. (2017). Diagnostic value of contrast-enhanced ultrasound and shear-wave elastography for breast lesions of sub-centimeter. Clinical Hemorheology and Microcirculation. 67(1). 69–80. 32 indexed citations
15.
Xu, Guang, Minghua Yao, Jian Wu, et al.. (2015). Diagnostic Value of Different Systematic Prostate Biopsy Methods in the Detection of Prostate Cancer with Ultrasonographic Hypoechoic Lesions - A Comparative Study. Urologia Internationalis. 95(2). 183–188. 4 indexed citations
16.
Xu, Guang, et al.. (2014). Three-dimensional ultrasonography for the prediction of breast cancer prognosis.. PubMed. 19(3). 643–9. 3 indexed citations
17.
Yao, Minghua, Ming Ma, Yu Chen, et al.. (2014). Multifunctional Bi2S3/PLGA nanocapsule for combined HIFU/radiation therapy. Biomaterials. 35(28). 8197–8205. 85 indexed citations
18.
Yao, Minghua, Liling Zou, Rong Wu, et al.. (2014). Transperineal Ultrasound-Guided 12-Core Prostate Biopsy: An Extended Approach to Diagnose Transition Zone Prostate Tumors. PLoS ONE. 9(2). e89171–e89171. 11 indexed citations
19.
Wu, Rong, et al.. (2013). Experimental research Contrast-enhanced ultrasonography follow-up after radiofrequency ablation in normal rabbit kidney. Archives of Medical Science. 4(4). 608–613. 3 indexed citations
20.
Wu, Rong, Bing Hu, Fang Ma, et al.. (2011). A comparative study of the sonographic appearance and anatomy of the obturator internus in normal males. Minimally Invasive Therapy & Allied Technologies. 21(4). 271–275. 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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