Xinming Zhao

2.0k citations
51 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
Radiomics and Machine Learning in Medical Imaging (24 papers)MRI in cancer diagnosis (22 papers)Hepatocellular Carcinoma Treatment and Prognosis (10 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Xinming Zhao

49 papers receiving 1.3k citations

Hit Papers

Radiomics of Multiparametric MRI for Pretreatment Predict...20192026202120232019100200300

Peers

Xinming Zhao
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Oncology 252
  • Pulmonary and Respiratory Medicine 248
  • Hepatology 215
  • Artificial Intelligence 213
Replace Francesca Botta with:
Francesca Botta Italy
Ying‐Shi Sun China
Pierre Lovinfosse Belgium
Nalee Kim South Korea
Connie Yip United Kingdom
Stefano Trebeschi Netherlands
Nathaniel Braman United States
Zhouyang Lian China
Xiaochun Meng China
Xinming Zhao relative to Francesca Botta Italy Francesca Botta's profile →
Citations per field
00.5×1.5×1.9×
Francesca Botta · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 5
5 2
6 9
7 4
8 17
9 2
10 6
11 18
12 12
13 10
14 10
15
Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Studybreakdown →
354
16 9
17 52
18 11
19 26
20 15

About Xinming Zhao

Xinming Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Obstetrics and Gynecology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this 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). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Hepatology (215 citations) and Obstetrics and Gynecology (130 citations). Xinming Zhao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jie Tian, Chunwu Zhou, Yanfeng Zhao, Zhenyu Liu, Xiabi Liu, Xiaohong Ma, Hongmei Zhang, Mengjie Fang, Yongjian Zhu and Bing Feng. Their work appears in journals such as PLoS ONE, Biomaterials and Clinical Cancer Research.

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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