Dansheng Song
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Tatyana ZhukovWei QianLaurence P. ClarkeRobert A. ClarkMaria KallergiEdward A. EikmanRavi SankarMelvyn S. Tockman
- Topics
- AI in cancer detection (15 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Image and Signal Denoising Methods (5 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- United States
In The Last Decade
Dansheng Song
19 papers receiving 320 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 199
- Radiology, Nuclear Medicine and Imaging 123
- Computer Vision and Pattern Recognition 116
- Molecular Biology 107
- Biomedical Engineering 52
Countries citing papers authored by Dansheng Song
This map shows the geographic impact of Dansheng Song'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 Dansheng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dansheng Song more than expected).
Fields of papers citing papers by Dansheng Song
This network shows the impact of papers produced by Dansheng Song. 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 Dansheng Song. The network helps show where Dansheng Song may publish in the future.
Co-authorship network of co-authors of Dansheng Song
This figure shows the co-authorship network connecting the top 25 collaborators of Dansheng Song. A scholar is included among the top collaborators of Dansheng Song 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 Dansheng Song. Dansheng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | A new method for lung cancer prognosis via centrosome image feature analysis. | 4 |
| 3 | Quantificational and statistical analysis of the differences in centrosomal features of untreated lung cancer cells and normal cells. | 2 |
| 4 | 7 | |
| 5 | 35 | |
| 6 | 87 | |
| 7 | 0 | |
| 8 | Computerized analysis of cellular features and biomarkers for cytologic diagnosis of early lung cancer. | 18 |
| 9 | 4 | |
| 10 | 38 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 37 | |
| 18 | 22 | |
| 19 | 8 | |
| 20 | 45 |
About Dansheng Song
Dansheng Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 333 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Artificial Intelligence (199 citations), Computer Vision and Pattern Recognition (116 citations) and Radiology, Nuclear Medicine and Imaging (123 citations). Dansheng Song has collaborated with scholars based in United States. Frequent co-authors include Tatyana Zhukov, Wei Qian, Wei Qian, Laurence P. Clarke, Wei Qian, Robert A. Clark, Wei Qian, Robert A. Clark, Maria Kallergi and Edward A. Eikman. Their work appears in journals such as Medical Physics, Colloids and Surfaces B Biointerfaces 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.