Ximing Wang

5.3k citations
301 papers · 3.6k · h-index 30

Impact in

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

Papers in

Ximing Wang

273 papers receiving 3.5k citations

Peers

Ximing Wang
Comparison fields: 5 of 151
  • Radiology, Nuclear Medicine and Imaging 747
  • Hepatology 208
  • Pulmonary and Respiratory Medicine 730
  • Health Informatics 32
  • Cardiology and Cardiovascular Medicine 295
Replace Lan He with:
Lan He China
Orazio Schillaci Italy
Yu Liu China
Weihua Liao China
Shuo Wang China
Jian Chen China
Tatsuya Higashi Japan
Jie Liu China
Allen D. Everett United States
Attila Kovács Hungary
Ximing Wang relative to Lan He China Lan He's profile →
Citations per field
00.5×1.5×2.2×
Lan He · 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 301 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011256
2 202095
3 201089
4 202176
5 200173
6 201069
7 202468
8 201460
9 201255
10 201552
11 202148
12 202344
13 202042
14 201841
15 201341
16 201039
17 202238
18 200737
19 202136
20 201736

About Ximing Wang

Ximing Wang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 301 papers that have together received 3.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Cardiac Imaging and Diagnostics (13 papers), Cerebrovascular and Carotid Artery Diseases (12 papers), Cardiovascular Disease and Adiposity (11 papers), Advanced X-ray and CT Imaging (11 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (747 citations), Hepatology (208 citations), Pulmonary and Respiratory Medicine (730 citations), Health Informatics (32 citations) and Cardiology and Cardiovascular Medicine (295 citations). Ximing Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shengming Deng, Huilin Yang, Yong Xu, Tao Liu, Chunhong Hu, Zhaoping Cheng, Jie Bao, Jiuhong Chen, Yanhua Duan 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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