Kuangyu Shi
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Biomedical Engineering top 5%
- Pulmonary and Respiratory Medicine top 5%
- Radiation top 2%
- Cognitive Neuroscience top 10%
- Co-authors
- Axel RomingerAli Afshar‐OromiehHasan SariIan AlbertsGeorge PrenosilClemens MingelsKarl Peter BohnSibylle Ziegler
- Topics
- Medical Imaging Techniques and Applications (115 papers)Radiomics and Machine Learning in Medical Imaging (58 papers)Advanced MRI Techniques and Applications (35 papers)
- Partner nations
- SwitzerlandGermanyChina
In The Last Decade
Kuangyu Shi
194 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Radiology, Nuclear Medicine and Imaging 1.8k
- Biomedical Engineering 485
- Pulmonary and Respiratory Medicine 446
- Radiation 350
- Cognitive Neuroscience 251
Countries citing papers authored by Kuangyu Shi
This map shows the geographic impact of Kuangyu Shi'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 Kuangyu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuangyu Shi more than expected).
Fields of papers citing papers by Kuangyu Shi
This network shows the impact of papers produced by Kuangyu Shi. 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 Kuangyu Shi. The network helps show where Kuangyu Shi may publish in the future.
Co-authorship network of co-authors of Kuangyu Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Kuangyu Shi. A scholar is included among the top collaborators of Kuangyu Shi 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 Kuangyu Shi. Kuangyu Shi 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 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 45 | |
| 15 | 10 | |
| 16 | 36 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | Structure-Weighted Metabolic Connectivity for Differential diagnosis of Dementing Disorders | 1 |
About Kuangyu Shi
Kuangyu Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Radiation, having authored 226 papers that have together received 2.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (115 papers), Radiomics and Machine Learning in Medical Imaging (58 papers) and Advanced MRI Techniques and Applications (35 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Radiation (350 citations) and Health Informatics (45 citations). Kuangyu Shi has collaborated with scholars based in Switzerland, Germany and China. Frequent co-authors include Axel Rominger, Ali Afshar‐Oromieh, Hasan Sari, Ian Alberts, George Prenosil, Clemens Mingels, Karl Peter Bohn, Sibylle Ziegler, Michael Hentschel and Marco Viscione. Their work appears in journals such as Nature Communications, NeuroImage and Neurology.
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.