Ximing Wang

5.1k citations
290 papers · 3.4k · h-index 29

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • Cardiac Imaging and Diagnostics
    • MRI in cancer diagnosis
    • Radiation Dose and Imaging
    • Medical Imaging Techniques and Applications
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Ximing Wang

268 papers receiving 3.3k citations

Peers

Ximing Wang
Comparison fields: 5 of 153
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Hepatology 241
  • Pulmonary and Respiratory Medicine 986
  • Health Informatics 37
  • Cardiology and Cardiovascular Medicine 387
Replace Min Lou with:
Min Lou China
Orazio Schillaci Italy
J Richter Germany
James A. Scott United States
Ken Takeda Japan
Ira Kurtz United States
Seigo Kinuya Japan
Jian Chen China
Paolo Vitti Italy
Attila Kovács Hungary
Ximing Wang relative to Min Lou China Min Lou's profile →
Citations per field
00.5×1.6×
Min Lou · 1×
Citations per year

Countries citing papers authored by Ximing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ximing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ximing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ximing Wang Line = papers co-authored together Ximing Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 290 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011240
2 201089
3 202085
4 200172
5 202169
6 201068
7 202461
8 201458
9 201253
10 201546
11 202145
12 202042
13 202341
14 201841
15 201340
16 201039
17 200737
18 201735
19 202232
20 200732

About Ximing Wang

Ximing Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 290 papers that have together received 3.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (56 papers), Cardiac Imaging and Diagnostics (30 papers), MRI in cancer diagnosis (24 papers), Advanced X-ray and CT Imaging (22 papers), Prostate Cancer Diagnosis and Treatment (22 papers), Prostate Cancer Treatment and Research (18 papers), Cardiovascular Disease and Adiposity (15 papers) and Hepatocellular Carcinoma Treatment and Prognosis (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Hepatology (241 citations), Pulmonary and Respiratory Medicine (986 citations), Health Informatics (37 citations) and Cardiology and Cardiovascular Medicine (387 citations). Ximing Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shengming Deng, Yong Xu, Huilin Yang, Tao Liu, Zhaoping Cheng, Chunhong Hu, Jiuhong Chen, Yanhua Duan, Jie Bao and Yixing Yu. Their work appears in journals such as European Radiology, European Journal of Radiology, Frontiers in Oncology, PLoS ONE and BMC Cancer.

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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