Sue Astley
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Peter I. MillerChris TaylorKevin W. BowyerD. Gareth EvansEwan GrayNico KarssemeijerKatherine PayneCarla H. van Gils
- Topics
- AI in cancer detection (18 papers)Global Cancer Incidence and Screening (9 papers)Digital Radiography and Breast Imaging (8 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sue Astley
28 papers receiving 285 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 189
- Radiology, Nuclear Medicine and Imaging 106
- Computer Vision and Pattern Recognition 99
- Pulmonary and Respiratory Medicine 90
- Oncology 68
Countries citing papers authored by Sue Astley
This map shows the geographic impact of Sue Astley'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 Sue Astley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Astley more than expected).
Fields of papers citing papers by Sue Astley
This network shows the impact of papers produced by Sue Astley. 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 Sue Astley. The network helps show where Sue Astley may publish in the future.
Co-authorship network of co-authors of Sue Astley
This figure shows the co-authorship network connecting the top 25 collaborators of Sue Astley. A scholar is included among the top collaborators of Sue Astley 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 Sue Astley. Sue Astley 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 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 46 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | Digital Mammography, 8th International Workshop, IWDM 2006 | 4 |
| 14 | 26 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | User interface design and data management for digital mass mammographic screening | 1 |
| 18 | 19 | |
| 19 | 7 | |
| 20 | 10 |
About Sue Astley
Sue Astley is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 313 indexed citations. Recurring topics across this work include AI in cancer detection (18 papers), Global Cancer Incidence and Screening (9 papers) and Digital Radiography and Breast Imaging (8 papers). The work is most often cited by research in Artificial Intelligence (189 citations), Computer Vision and Pattern Recognition (99 citations) and Radiology, Nuclear Medicine and Imaging (106 citations). Sue Astley has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Peter I. Miller, Chris Taylor, Kevin W. Bowyer, D. Gareth Evans, Ewan Gray, Nico Karssemeijer, Katherine Payne, Carla H. van Gils, Michael Berks and Zezhi Chen. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and European Journal of 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.