Yuetao Wang
- Electrical and Electronic Engineering top 2%
- Electronic, Optical and Magnetic Materials top 5%
- Automotive Engineering top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Renewable Energy, Sustainability and the Environment top 5%
- Topics
- Cardiac Imaging and Diagnostics (32 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)Lung Cancer Diagnosis and Treatment (19 papers)
- Cited by
- Automotive EngineeringElectronic, Optical and Magnetic MaterialsElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuetao Wang
115 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Electrical and Electronic Engineering 2.2k
- Electronic, Optical and Magnetic Materials 706
- Automotive Engineering 479
- Radiology, Nuclear Medicine and Imaging 368
- Renewable Energy, Sustainability and the Environment 367
Countries citing papers authored by Yuetao Wang
This map shows the geographic impact of Yuetao 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 Yuetao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuetao Wang more than expected).
Fields of papers citing papers by Yuetao Wang
This network shows the impact of papers produced by Yuetao 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 Yuetao Wang. The network helps show where Yuetao Wang may publish in the future.
Co-authorship network of co-authors of Yuetao Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuetao Wang. A scholar is included among the top collaborators of Yuetao Wang 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 Yuetao Wang. Yuetao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 19 | |
| 13 | 8 | |
| 14 | 62 | |
| 15 | An Interface‐Bridged Organic–Inorganic Layer that Suppresses Dendrite Formation and Side Reactions for Ultra‐Long‐Life Aqueous Zinc Metal Anodesbreakdown → | 376 |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 16 | |
| 20 | Thorium-doping induced superconductivity in Gd1-xThxOFeAs | 1 |
About Yuetao Wang
Yuetao Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 127 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (32 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Lung Cancer Diagnosis and Treatment (19 papers). The work is most often cited by research in Automotive Engineering (479 citations), Electronic, Optical and Magnetic Materials (706 citations) and Electrical and Electronic Engineering (2.2k citations). Yuetao Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feng Pan, Qinghe Zhao, Runzhi Qin, Shouxiang Ding, Luyi Yang, Shunning Li, Haocong Yi, Yan-Hui Cui, Yongli Song and Xiaoliang Shao. Their work appears in journals such as Angewandte Chemie International Edition, Nano Letters and Advanced Functional Materials.
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.