Kenneth C. Young
- Pulmonary and Respiratory Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Oncology top 5%
- Co-authors
- David R. DanceRuben E. van EngenJeremy BeckettC J KotreAlistair MackenzieHilde BosmansJennifer M. OdukoKevin Wells
- Topics
- Digital Radiography and Breast Imaging (99 papers)Medical Imaging Techniques and Applications (64 papers)AI in cancer detection (63 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineArtificial Intelligence
- Journals
- ScienceJournal of ClimateRadiology
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Kenneth C. Young
197 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 161
- Pulmonary and Respiratory Medicine 2.4k
- Radiology, Nuclear Medicine and Imaging 2.2k
- Artificial Intelligence 1.3k
- Biomedical Engineering 755
- Oncology 584
Countries citing papers authored by Kenneth C. Young
This map shows the geographic impact of Kenneth C. Young'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. Young 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. Young more than expected).
Fields of papers citing papers by Kenneth C. Young
This network shows the impact of papers produced by Kenneth C. Young. 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. Young. The network helps show where Kenneth C. Young may publish in the future.
Co-authorship network of co-authors of Kenneth C. Young
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth C. Young. A scholar is included among the top collaborators of Kenneth C. Young 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 Kenneth C. Young. Kenneth C. Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 20 | |
| 7 | 33 | |
| 8 | 11 | |
| 9 | 15 | |
| 10 | 33 | |
| 11 | 14 | |
| 12 | 19 | |
| 13 | 149 | |
| 14 | 45 | |
| 15 | 27 | |
| 16 | 43 | |
| 17 | 8 | |
| 18 | 67 | |
| 19 | 9 | |
| 20 | Sensitivity of cold stimulation compared to exercise stress in detecting cardiac dys function in diabetics | 3 |
About Kenneth C. Young
Kenneth C. Young is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 207 papers that have together received 4.2k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (99 papers), Medical Imaging Techniques and Applications (64 papers) and AI in cancer detection (63 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Pulmonary and Respiratory Medicine (2.4k citations) and Artificial Intelligence (1.3k citations). Kenneth C. Young has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David R. Dance, Ruben E. van Engen, Jeremy Beckett, C J Kotre, Alistair Mackenzie, Hilde Bosmans, Jennifer M. Oduko, Kevin Wells, Julie Cooke and Lucy M. Warren. Their work appears in journals such as Science, Journal of Climate and 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.