Kenneth C. Wang

1.5k citations
32 papers · 981 · h-index 15

Impact in

Papers in

    • Radiology practices and education 10
    • Peripheral Nerve Disorders 7
    • Radiation Dose and Imaging 5
    • Radiomics and Machine Learning in Medical Imaging 5
    • Nerve Injury and Rehabilitation 4

Kenneth C. Wang

32 papers receiving 943 citations

Peers

Kenneth C. Wang
Comparison fields: 5 of 119
  • Health Informatics 24
  • Radiology, Nuclear Medicine and Imaging 410
  • Surgery 426
  • Aquatic Science 60
  • Neurology 124
Replace Phillip M. Berman with:
Phillip M. Berman United States
Xiaoguang Liu China
Aaron J. Fields United States
Frank Siemers Germany
Sofie Van Cauter Belgium
Suk‐Joo Hong South Korea
Peter Grunert Germany
Ondřej Naňka Czechia
Yoshiko Ariji Japan
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth C. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth C. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011188
2 2018159
3 198498
4 202185
5 201154
6 201348
7 201146
8 201439
9 202233
10 201131
11 201426
12 201124
13 201721
14 201018
15 201916
16 201813
17 201412
18 201110
19 201510
20 20199

About Kenneth C. Wang

Kenneth C. Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 32 papers that have together received 981 indexed citations. Recurring topics across this work include Radiology practices and education (10 papers), Peripheral Nerve Disorders (7 papers), Radiation Dose and Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Nerve Injury and Rehabilitation (4 papers), Anatomy and Medical Technology (3 papers), Digital Radiography and Breast Imaging (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (410 citations), Surgery (426 citations), Aquatic Science (60 citations) and Neurology (124 citations). Kenneth C. Wang has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include John A. Carrino, Avneesh Chhabra, Theodoros Soldatos, Aaron Flammang, Gustav Andreisek, Allan J. Belzberg, Leonid Chepelev, Nicole Wake, Justin Ryan and Ty K. Subhawong. Their work appears in journals such as Journal of Digital Imaging, American Journal of Roentgenology, Radiographics, Radiology and Skeletal 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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