Vicky Y. Wang

1.0k citations
36 papers · 605 · h-index 12

Impact in

Papers in

Vicky Y. Wang

30 papers receiving 600 citations

Peers

Vicky Y. Wang
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 392
  • Biomedical Engineering 254
  • Radiology, Nuclear Medicine and Imaging 122
  • Surgery 136
  • Health Informatics 3
Replace Roy C. P. Kerckhoffs with:
Roy C. P. Kerckhoffs United States
Frederick J. Vetter United States
Robert Blake United States
John Whitaker United Kingdom
Andreu M. Climent Spain
Christopher Villongco United States
Farhad Pashakhanloo United States
Fijoy Vadakkumpadan United States
Jason Constantino United States
Olga Solovyova Russia
Vicky Y. Wang relative to Roy C. P. Kerckhoffs United States Roy C. P. Kerckhoffs's profile →
Citations per field
00.5×3.1×
Roy C. P. Kerckhoffs · 1×
Citations per year

Countries citing papers authored by Vicky Y. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Vicky Y. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vicky Y. 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 Vicky Y. Wang Line = papers co-authored together Vicky Y. Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016166
2 2009118
3 201994
4 201836
5 201918
6 202117
7 202114
8 201614
9 201714
10 201713
11 201612
12 202011
13 202111
14 202310
15 20208
16 20238
17 20207
18 20196
19 20085
20 20164

About Vicky Y. Wang

Vicky Y. Wang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Artificial Intelligence, having authored 36 papers that have together received 605 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (22 papers), Elasticity and Material Modeling (12 papers), Advanced MRI Techniques and Applications (7 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Brain Tumor Detection and Classification (5 papers), AI in cancer detection (5 papers) and Cardiac Structural Anomalies and Repair (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (392 citations), Biomedical Engineering (254 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Surgery (136 citations) and Health Informatics (3 citations). Vicky Y. Wang has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include Martyn P. Nash, Alistair A. Young, Daniel B. Ennis, Brett R. Cowan, Maxime Sermesant, Dominique Chapelle, Radomí­r Chabiniok, Jack Lee, Philippe Moireau and Liya Asner. Their work appears in journals such as Scientific Reports, Frontiers in Cardiovascular Medicine, Journal of Hypertension, Magnetic Resonance in Medicine and Academic Radiology.

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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