Xinming Zhao

2.0k total citations · 1 hit paper
51 papers, 1.3k citations indexed

About

Xinming Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Obstetrics and Gynecology. According to data from OpenAlex, Xinming Zhao has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Hepatology and 9 papers in Obstetrics and Gynecology. Recurrent topics in Xinming Zhao's work include Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (22 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Xinming Zhao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (22 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Xinming Zhao collaborates with scholars based in China, United States and Sweden. Xinming Zhao's co-authors include Jie Tian, Chunwu Zhou, Yanfeng Zhao, Zhenyu Liu, Xiaohong Ma, Xiabi Liu, Hongmei Zhang, Yongjian Zhu, Mengjie Fang and Bing Feng and has published in prestigious journals such as PLoS ONE, Biomaterials and Clinical Cancer Research.

In The Last Decade

Xinming Zhao

49 papers receiving 1.3k citations

Hit Papers

Radiomics of Multiparamet... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study
    2019 354 citations Zhenyu Liu, Zhuolin Li et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinming Zhao China 17 1.0k 252 248 215 213 51 1.3k
Stefano Trebeschi Netherlands 16 1.1k 1.1× 534 2.1× 370 1.5× 101 0.5× 201 0.9× 47 1.5k
Francesca Botta Italy 25 1.7k 1.6× 408 1.6× 622 2.5× 113 0.5× 218 1.0× 62 2.2k
Nathaniel Braman United States 9 1.5k 1.4× 282 1.1× 496 2.0× 104 0.5× 349 1.6× 22 1.6k
Xiaochun Meng China 18 648 0.6× 425 1.7× 262 1.1× 259 1.2× 105 0.5× 63 1.3k
Yahong Luo China 20 1.1k 1.0× 281 1.1× 474 1.9× 32 0.1× 464 2.2× 62 1.4k
Xiaokai Mo China 17 1.2k 1.2× 254 1.0× 415 1.7× 49 0.2× 243 1.1× 37 1.6k
Shufang Pei China 12 833 0.8× 134 0.5× 212 0.9× 58 0.3× 229 1.1× 23 1.0k
Christopher Abbosh United Kingdom 5 864 0.8× 333 1.3× 555 2.2× 66 0.3× 339 1.6× 6 1.6k
Kanae K. Miyake Japan 18 806 0.8× 195 0.8× 216 0.9× 26 0.1× 503 2.4× 60 1.3k

Countries citing papers authored by Xinming Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xinming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinming Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xinming Zhao. A scholar is included among the top collaborators of Xinming Zhao 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 Xinming Zhao. Xinming Zhao 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.
Dong, Hongyu, Jiaqi Han, Xiaofan Jia, et al.. (2025). An efficiently bifunctional Co3Mo3N cathode catalyst for Li-CO2 batteries. Journal of Colloid and Interface Science. 700(Pt 1). 138315–138315.
2.
Yu, Bingbing, et al.. (2025). Developing a core outcome set for clinical trials of traditional Chinese medicine for rheumatoid arthritis. Frontiers in Medicine. 12. 1690963–1690963.
3.
Xu, Yuan, et al.. (2025). Diagnostic image‐based treatment planning for online adaptive ultra‐hypofractionated prostate cancer radiotherapy with MR‐Linac. Journal of Applied Clinical Medical Physics. 26(6). e70075–e70075. 1 indexed citations
4.
Yang, Yi, Ying Xü, Yanzhao Zhou, et al.. (2024). The GRAPHS-CRAFITY score: a novel efficacy predictive tool for unresectable hepatocellular carcinoma treated with immunotherapy. La radiologia medica. 129(2). 188–201. 5 indexed citations
5.
Feng, Ye, et al.. (2023). Prior information guided auto-segmentation of clinical target volume of tumor bed in postoperative breast cancer radiotherapy. Radiation Oncology. 18(1). 170–170. 2 indexed citations
6.
Bao, Dan, Yayuan Geng, Lin Li, et al.. (2022). Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment. Cancer Imaging. 22(1). 10–10. 17 indexed citations
7.
8.
Zhang, Renzhi, Wei Wei, Jing Li, et al.. (2022). An MRI-Based Radiomics Model for Predicting the Benignity and Malignancy of BI-RADS 4 Breast Lesions. Frontiers in Oncology. 11. 733260–733260. 8 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.
Bao, Dan, Yanfeng Zhao, Yayuan Geng, et al.. (2021). Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma. Discover Oncology. 12(1). 63–63. 12 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.
Zhang, Qi, Han Ouyang, Feng Ye, et al.. (2020). Multiple mathematical models of diffusion-weighted imaging for endometrial cancer characterization: Correlation with prognosis-related risk factors. European Journal of Radiology. 130. 109102–109102. 22 indexed citations
14.
Liu, Zhenyu, Zhuolin Li, Jinrong Qu, et al.. (2019). Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study. Clinical Cancer Research. 25(12). 3538–3547. 354 indexed citations breakdown →
15.
Zhang, Jieying, Xiaoduo Yu, Yan Song, et al.. (2019). [Comparison of Imaging and Pathologic Findings of Retroperitoneal Dedifferentiated Liposarcoma].. PubMed. 41(3). 223–228. 2 indexed citations
16.
Li, Nan, et al.. (2018). Diagnostic efficacy of MRI for pre-operative assessment of ovarian malignancy in endometrial carcinoma: A decision tree analysis. Magnetic Resonance Imaging. 57. 285–292. 9 indexed citations
17.
Yang, Lei, Di Dong, Mengjie Fang, et al.. (2018). Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?. European Radiology. 28(5). 2058–2067. 187 indexed citations
18.
Ma, Ling, Xiabi Liu, Yan Gao, et al.. (2017). A new method of content based medical image retrieval and its applications to CT imaging sign retrieval. Journal of Biomedical Informatics. 66. 148–158. 52 indexed citations
19.
Chen, Yan, Jin Zhang, Xiaoduo Yu, et al.. (2016). [Application of diffusion-weighted intravoxel incoherent motion imaging in diagnosis of renal cell carcinoma subtypes].. PubMed. 38(6). 434–9. 1 indexed citations
20.

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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