Dansheng Song

444 total citations
20 papers, 333 citations indexed

About

Dansheng Song is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dansheng Song has authored 20 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dansheng Song's work include AI in cancer detection (15 papers), Image and Signal Denoising Methods (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Dansheng Song is often cited by papers focused on AI in cancer detection (15 papers), Image and Signal Denoising Methods (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Dansheng Song collaborates with scholars based in United States. Dansheng Song's 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 Ravi Sankar and has published in prestigious journals such as Medical Physics, Colloids and Surfaces B Biointerfaces and Academic Radiology.

In The Last Decade

Dansheng Song

19 papers receiving 320 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dansheng Song United States 9 199 123 116 107 52 20 333
Jing Jiao China 12 83 0.4× 94 0.8× 53 0.5× 206 1.9× 41 0.8× 32 408
Qianye Yang United Kingdom 11 74 0.4× 118 1.0× 98 0.8× 64 0.6× 43 0.8× 21 318
Leslie Solorzano Sweden 7 137 0.7× 122 1.0× 58 0.5× 111 1.0× 35 0.7× 12 343
Chenchen Qin China 10 130 0.7× 141 1.1× 69 0.6× 38 0.4× 40 0.8× 30 336
Yanyun Jiang China 10 53 0.3× 89 0.7× 63 0.5× 115 1.1× 60 1.2× 28 313
Chaojie Ji China 9 125 0.6× 90 0.7× 93 0.8× 36 0.3× 29 0.6× 14 277
Yuqing Ai China 8 315 1.6× 227 1.8× 188 1.6× 30 0.3× 53 1.0× 11 512
Anindya Sarkar United States 14 183 0.9× 84 0.7× 287 2.5× 16 0.1× 28 0.5× 20 440
Gelan Ayana South Korea 11 334 1.7× 284 2.3× 131 1.1× 39 0.4× 48 0.9× 26 528
Xiaohan Xing China 10 118 0.6× 131 1.1× 86 0.7× 31 0.3× 28 0.5× 22 321

Countries citing papers authored by Dansheng Song

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Song, Dansheng, et al.. (2012). Prognosis of stage I lung cancer patients through quantitative analysis of centrosomal features. 2. 1607–1610. 5 indexed citations
2.
Song, Dansheng, et al.. (2012). A new method for lung cancer prognosis via centrosome image feature analysis.. PubMed. 34(4). 180–8. 4 indexed citations
3.
Song, Dansheng, Inna V. Fedorenko, Marianna Pensky, et al.. (2010). Quantificational and statistical analysis of the differences in centrosomal features of untreated lung cancer cells and normal cells.. PubMed. 32(5). 280–90. 2 indexed citations
4.
Land, Walker H., Daniel McKee, Tatyana Zhukov, Dansheng Song, & Qian Wei. (2008). A kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from tissue images. 1(1). 26–26. 7 indexed citations
5.
Song, Dansheng, et al.. (2007). Computer-Aided Mass Detection Based on Ipsilateral Multiview Mammograms. Academic Radiology. 14(5). 530–538. 35 indexed citations
6.
Song, Dansheng, et al.. (2007). Protein microarrays and quantum dot probes for early cancer detection. Colloids and Surfaces B Biointerfaces. 58(2). 309–314. 87 indexed citations
7.
Zhukov, Tatyana, et al.. (2007). Computerized analysis of cellular features and biomarkers for cytologic diagnosis of early lung cancer.. PubMed. 29(2). 103–11. 18 indexed citations
8.
9.
McKee, Daniel, Walker H. Land, Tatyana Zhukov, Dansheng Song, & Wei Qian. (2006). An adaptive image segmentation process for the classification of lung biopsy images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6144. 614452–614452. 4 indexed citations
10.
Qian, Wei, et al.. (2004). Ipsilateral-mammogram computer-aided detection of breast cancer. Computerized Medical Imaging and Graphics. 28(3). 151–158. 38 indexed citations
11.
Qian, Wei, et al.. (2004). Three-class classification in computer-aided diagnosis of breast cancer by support vector machine. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5370. 999–999. 2 indexed citations
12.
Sankar, Ravi, et al.. (2004). Fuzzy image segmentation for lung nodule detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5200. 232–232. 1 indexed citations
13.
Qian, Wei, et al.. (2003). Computer-aided detection (CAD) of breast cancer on full field digital and screening film mammograms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5032. 930–930. 1 indexed citations
14.
Song, Dansheng, Wei Qian, & Laurence P. Clarke. (2002). Digital mammography: hybrid M-channel wavelet transform for microcalcification segmentation. 3. 1069–1070. 6 indexed citations
15.
Qian, Wei, et al.. (2002). Ipsilateral multi-view CAD system for mass detection in digital mammography. 197. 19–26. 10 indexed citations
16.
Mao, Fei, Yan Zhang, Dansheng Song, Wei Qian, & Laurence P. Clarke. (2002). An improved method of region grouping for microcalcification detection in digital mammograms. 2. 740–743. 1 indexed citations
17.
Qian, Wei, et al.. (2001). Digital Mammography. Academic Radiology. 8(11). 1074–1082. 37 indexed citations
18.
Qian, Wei, Huaidong Li, Maria Kallergi, Dansheng Song, & Laurence P. Clarke. (1998). Adaptive Neural Network for Nuclear Medicine Image Restoration. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 18(3). 297–315. 8 indexed citations
19.
Qian, Wei, Laurence P. Clarke, Dansheng Song, & Robert A. Clark. (1998). Digital mammography: Hybrid four-channel wavelet transform for microcalcification segmentation. Academic Radiology. 5(5). 354–364. 22 indexed citations
20.
Qian, Wei, et al.. (1995). Tree structured wavelet transform segmentation of microcalcifications in digital mammography. Medical Physics. 22(8). 1247–1254. 45 indexed citations

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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