Ting Song

934 total citations
27 papers, 699 citations indexed

About

Ting Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Ting Song has authored 27 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Ting Song's work include Advanced MRI Techniques and Applications (8 papers), MRI in cancer diagnosis (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Ting Song is often cited by papers focused on Advanced MRI Techniques and Applications (8 papers), MRI in cancer diagnosis (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Ting Song collaborates with scholars based in China, United States and Canada. Ting Song's co-authors include Vivian S. Lee, Henry Rusinek, Louisa Bokacheva, Qun Chen, Niels Oesingmann, Andrew F. Laine, Tianfa Dong, Ruth Lim, Gerhard Laub and Bo Yang and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Access and American Journal of Roentgenology.

In The Last Decade

Ting Song

25 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Song China 12 500 159 113 112 81 27 699
Elissa L. Kramer United States 18 602 1.2× 283 1.8× 201 1.8× 123 1.1× 91 1.1× 58 1.1k
G. Negrão de Figueiredo Germany 16 273 0.5× 223 1.4× 160 1.4× 47 0.4× 99 1.2× 43 646
Lizette Warner United States 11 380 0.8× 230 1.4× 58 0.5× 56 0.5× 151 1.9× 17 596
Nathan S. Artz United States 14 474 0.9× 146 0.9× 60 0.5× 51 0.5× 106 1.3× 28 673
Angela Romano Italy 16 442 0.9× 185 1.2× 64 0.6× 67 0.6× 109 1.3× 66 797
H. McCallum United Kingdom 15 576 1.2× 179 1.1× 66 0.6× 83 0.7× 262 3.2× 45 947
Qing Yuan United States 18 419 0.8× 213 1.3× 148 1.3× 20 0.2× 105 1.3× 49 848
T. Auer Austria 19 181 0.4× 142 0.9× 249 2.2× 39 0.3× 83 1.0× 50 838
Michael Lundemann Denmark 13 329 0.7× 163 1.0× 33 0.3× 27 0.2× 41 0.5× 24 583
Yasuyuki Komohara Japan 6 1.0k 2.1× 116 0.7× 94 0.8× 76 0.7× 120 1.5× 6 1.2k

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

20 of 20 papers shown
1.
Wu, Jingheng, Guangyu Wang, Ting Song, et al.. (2025). Auto-Segmentation and Auto-Planning in Automated Radiotherapy for Prostate Cancer. Bioengineering. 12(6). 620–620.
2.
Cai, Wenwen, Jiajun Cai, Jiawen Liu, et al.. (2023). Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation. Computers in Biology and Medicine. 162. 107054–107054. 11 indexed citations
3.
Liu, Yi, et al.. (2023). MRI-based radiomics features for the non-invasive prediction of FIGO stage in cervical carcinoma: A multi-center study. Magnetic Resonance Imaging. 110. 170–175. 2 indexed citations
4.
Shi, Li, Ren Mao, Ting Song, et al.. (2023). Clinical outcome is distinct between radiological stricture and endoscopic stricture in ileal Crohn’s disease. European Radiology. 33(11). 7595–7608. 5 indexed citations
5.
Peng, Lulu, Xiang Zhang, Jue Liu, et al.. (2022). MRI–radiomics–clinical–based nomogram for prenatal prediction of the placenta accreta spectrum disorders. European Radiology. 32(11). 7532–7543. 20 indexed citations
6.
7.
8.
Li, Yongbao, et al.. (2020). Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases. Oral Oncology. 104. 104625–104625. 51 indexed citations
9.
Wang, Jiayan, et al.. (2019). Prenatal Diagnosis of Congenital Hepatoblastoma. Maternal-Fetal Medicine. 2(2). 115–118. 2 indexed citations
10.
Song, Ting, et al.. (2019). Accurate Prenatal Diagnosis of Cleft Palate Using Magnetic Resonance Imaging with Slice-to-Volume Reconstruction. Applied Magnetic Resonance. 51(1). 23–32. 1 indexed citations
11.
12.
Guo, Zheng, Lujun Han, Yadi Yang, et al.. (2018). Longitudinal brain structural alterations in patients with nasopharyngeal carcinoma early after radiotherapy. NeuroImage Clinical. 19. 252–259. 28 indexed citations
13.
Song, Ting, Jeffrey A. Stainsby, Vincent B. Ho, Maureen N. Hood, & Glenn S. Slavin. (2012). Flexible cardiac T1 mapping using a modified look–locker acquisition with saturation recovery. Magnetic Resonance in Medicine. 67(3). 622–627. 32 indexed citations
14.
Li, Xinchun, et al.. (2010). Primitive neuroectodermal tumor arising in the abdominopelvic region: CT features and pathology characteristics. Abdominal Imaging. 36(5). 590–595. 15 indexed citations
15.
Song, Ting, et al.. (2010). Diffusion tensor imaging in the cervical spinal cord. European Spine Journal. 20(3). 422–428. 102 indexed citations
16.
Song, Ting, Andrew F. Laine, Qun Chen, et al.. (2009). Optimal k‐space sampling for dynamic contrast‐enhanced MRI with an application to MR renography. Magnetic Resonance in Medicine. 61(5). 1242–1248. 114 indexed citations
17.
Song, Ting, Vivian S. Lee, Qun Chen, Henry Rusinek, & Andrew F. Laine. (2009). An automated three-dimensional plus time registration framework for dynamic MR renography. Journal of Visual Communication and Image Representation. 21(1). 1–8. 8 indexed citations
18.
Zhang, Jeff L., Henry Rusinek, Louisa Bokacheva, et al.. (2008). Functional assessment of the kidney from magnetic resonance and computed tomography renography: Impulse retention approach to a multicompartment model. Magnetic Resonance in Medicine. 59(2). 278–288. 60 indexed citations
19.
Lee, Vivian S., Henry Rusinek, Louisa Bokacheva, et al.. (2007). Renal function measurements from MR renography and a simplified multicompartmental model. American Journal of Physiology-Renal Physiology. 292(5). F1548–F1559. 122 indexed citations
20.
Duan, Qi, Elsa D. Angelini, Ting Song, & Andrew F. Laine. (2004). Fast interpolation algorithms for real-time three-dimensional cardiac ultrasound. Columbia Academic Commons (Columbia University). 2. 1192–1195. 11 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

Breakdown of academic impact, for papers by Elissa L. Kramer Breakdown of academic impact, for papers by G. Negrão de Figueiredo Breakdown of academic impact, for papers by Lizette Warner Breakdown of academic impact, for papers by Nathan S. Artz Breakdown of academic impact, for papers by Angela Romano Breakdown of academic impact, for papers by H. McCallum Breakdown of academic impact, for papers by Qing Yuan Breakdown of academic impact, for papers by T. Auer Breakdown of academic impact, for papers by Michael Lundemann Breakdown of academic impact, for papers by Yasuyuki Komohara
Rankless by CCL
2026