Ting Song

751 total citations
37 papers, 549 citations indexed

About

Ting Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ting Song has authored 37 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Radiation and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ting Song's work include Advanced Radiotherapy Techniques (18 papers), Medical Imaging Techniques and Applications (11 papers) and Radiation Therapy and Dosimetry (9 papers). Ting Song is often cited by papers focused on Advanced Radiotherapy Techniques (18 papers), Medical Imaging Techniques and Applications (11 papers) and Radiation Therapy and Dosimetry (9 papers). Ting Song collaborates with scholars based in China, United States and France. Ting Song's co-authors include Andrew F. Laine, John K. Gohagan, Qi Duan, Ming Jack Po, Armen R. Kherlopian, Yongbao Li, Linghong Zhou, Elsa D. Angelini, Brett D. Mensh and Vivian S. Lee and has published in prestigious journals such as PLoS ONE, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Ting Song

33 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Song China	11	248	161	155	115	93	37	549
Yuanming Feng China	18	273 1.1×	222 1.4×	234 1.5×	85 0.7×	253 2.7×	93	864
Nevin McVicar Canada	10	357 1.4×	237 1.5×	103 0.7×	36 0.3×	135 1.5×	16	535
Lionel Hervé France	15	341 1.4×	62 0.4×	393 2.5×	49 0.4×	94 1.0×	63	680
Kathleen Vunckx Belgium	19	714 2.9×	137 0.9×	268 1.7×	47 0.4×	52 0.6×	63	961
Chin‐Tu Chen United States	9	263 1.1×	80 0.5×	324 2.1×	159 1.4×	57 0.6×	40	746
Russell A. Brown United States	12	186 0.8×	43 0.3×	131 0.8×	121 1.1×	52 0.6×	38	635
Christos Bikis Switzerland	11	164 0.7×	233 1.4×	88 0.6×	29 0.3×	39 0.4×	25	381
Anne Koenig France	14	411 1.7×	71 0.4×	405 2.6×	26 0.2×	44 0.5×	52	575
Pierre‐André Vuissoz France	15	384 1.5×	33 0.2×	84 0.5×	33 0.3×	57 0.6×	60	653
Nivedh Manohar United States	10	348 1.4×	201 1.2×	329 2.1×	20 0.2×	209 2.2×	19	536

Countries citing papers authored by Ting Song

Since Specialization

Citations

This map shows the geographic impact of Ting 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 Ting Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Song more than expected).

Fields of papers citing papers by Ting Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting 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 Ting Song. The network helps show where Ting Song may publish in the future.

Co-authorship network of co-authors of Ting Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Song. A scholar is included among the top collaborators of Ting 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 Ting Song. Ting Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cai, Wenwen, et al.. (2024). Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma. Radiation Oncology. 19(1). 39–39. 7 indexed citations

Song, Ting, et al.. (2024). Region fine-grained attention network for accurate bone age assessment. Mathematical Biosciences & Engineering. 21(2). 1857–1871. 1 indexed citations

Qbadou, Mohammed, et al.. (2024). Digital Innovation – Outstanding Performance through Ai-Driven Autonomous Drilling Operations.

Li, Yongbao, Wenwen Cai, Jiajun Cai, et al.. (2023). Simultaneous dose distribution and fluence prediction for nasopharyngeal carcinoma IMRT. Radiation Oncology. 18(1). 110–110. 6 indexed citations

Zhang, Yaqin, et al.. (2022). Classification of Microcalcification Clusters Using Bilateral Features Based on Graph Convolutional Network. Frontiers in Oncology. 12. 871662–871662.

Li, Yongbao, et al.. (2022). Development of a GPU-superposition Monte Carlo code for fast dose calculation in magnetic fields. Physics in Medicine and Biology. 67(12). 125002–125002. 5 indexed citations

Li, Yongbao, et al.. (2021). Deep learning-based 3D in vivo dose reconstruction with an electronic portal imaging device for magnetic resonance-linear accelerators: a proof of concept study. Physics in Medicine and Biology. 66(23). 235011–235011. 6 indexed citations

Li, Yongbao, Bin Wang, Hongdong Liu, et al.. (2020). Feasibility of using a commercial collapsed cone dose engine for 1.5T MR-LINAC online independent dose verification. Physica Medica. 80. 288–296. 14 indexed citations

Li, Yongbao, Bin Li, Zhenhui Dai, et al.. (2020). Multi‐sequence MR image‐based synthetic CT generation using a generative adversarial network for head and neck MRI‐only radiotherapy. Medical Physics. 47(4). 1880–1894. 84 indexed citations

10.

Yang, Yiwei, et al.. (2018). Voxel-based automatic multi-criteria optimization for intensity modulated radiation therapy. Radiation Oncology. 13(1). 241–241. 12 indexed citations

11.

Song, Ting, Weiguo Lu, Zhen Tian, et al.. (2015). Patient-specific dosimetric endpoints based treatment plan quality control in radiotherapy. Physics in Medicine and Biology. 60(21). 8213–8227. 20 indexed citations

12.

Song, Ting, et al.. (2012). SU‐E‐T‐496: Monte Carlo Simulation of a 6MV Varian Truebeam Without Flattening Filter Linac. Medical Physics. 39(6Part17). 3819–3819. 1 indexed citations

13.

Kherlopian, Armen R., Ting Song, Qi Duan, et al.. (2008). A review of imaging techniques for systems biology. BMC Systems Biology. 2(1). 74–74. 226 indexed citations

14.

Angelini, Elsa D., Ting Song, Brett D. Mensh, & Andrew F. Laine. (2007). Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study. International Journal of Biomedical Imaging. 2007(1). 10526–10526. 21 indexed citations

15.

Song, Ting, Vivian S. Lee, Henry Rusinek, Samson Wong, & Andrew F. Laine. (2006). Four Dimensional MR Image Analysis of Dynamic Renography. PubMed. 3749. 3134–3137. 6 indexed citations

16.

Song, Ting, Vivian S. Lee, Henry Rusinek, Samson Wong, & Andrew F. Laine. (2006). Integrated Four Dimensional Registration and Segmentation of Dynamic Renal MR Images. Lecture notes in computer science. 9(Pt 2). 758–765. 20 indexed citations

17.

Georgiev, Atanas, S.M. Vorobiev, W. Edstrom, et al.. (2006). Automated streak-seeding with micromachined silicon tools. Acta Crystallographica Section D Biological Crystallography. 62(9). 1039–1045. 7 indexed citations

18.

Song, Ting, Vivian S. Lee, Henry Rusinek, Manmeen Kaur, & Andrew F. Laine. (2005). Automatic 4-D Registration in Dynamic MR Renography Based on Over-Complete Dyadic Wavelet and Fourier Transforms. Lecture notes in computer science. 8(Pt 2). 205–213. 14 indexed citations

19.

Song, Ting, Elsa D. Angelini, Brett D. Mensh, & Andrew F. Laine. (2005). Comparison study of clinical 3D MRI brain segmentation evaluation. PubMed. 3. 1671–1674. 14 indexed citations

20.

Song, Ting, et al.. (2005). Assessment of Adipose Tissue from Whole Body 3T MRI Scans. PubMed. 11. 7012–7015. 2 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.

Explore authors with similar magnitude of impact