Yang Song

5.1k total citations · 1 hit paper
106 papers, 1.3k citations indexed

About

Yang Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Yang Song has authored 106 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Pulmonary and Respiratory Medicine and 15 papers in Surgery. Recurrent topics in Yang Song's work include Radiomics and Machine Learning in Medical Imaging (44 papers), MRI in cancer diagnosis (24 papers) and Glioma Diagnosis and Treatment (11 papers). Yang Song is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (44 papers), MRI in cancer diagnosis (24 papers) and Glioma Diagnosis and Treatment (11 papers). Yang Song collaborates with scholars based in China, United States and South Korea. Yang Song's co-authors include Guang Yang, Yu‐Dong Zhang, Xu Yan, Minxiong Zhou, Ying Hou, Ye‐Feng Yao, Weidong Wang, Ziqi Lv, Yida Wang and Jing Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yang Song

92 papers receiving 1.3k citations

Hit Papers

Predicting Microvascular Invasion in Hepatocellular Carci... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model
    2023 121 citations Tianyi Xia, Yu Qian et al. profile →

Peers

Yang Song
Yong Yin China
Alireza Mehrtash United States
Albert Comelli Italy
Isabelle Gardin France
Maria Vakalopoulou France
Alessandro Stefano Italy
Jan Hendrik Moltz Germany
Neelam Tyagi United States
Ida Häggström United States
Yong Yin China
Yang Song
Citations per year, relative to Yang Song Yang Song (= 1×) peers Yong Yin

Countries citing papers authored by Yang Song

Since Specialization
Citations

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

Fields of papers citing papers by Yang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Song. A scholar is included among the top collaborators of Yang 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 Yang Song. Yang 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.
Wang, Weidong, Yang Song, Yuxin Wu, et al.. (2025). Foreign object detection on vibrating screens: A precision-oriented rotational detection framework with attention mechanisms. Measurement. 250. 117115–117115.
2.
Inoue, Kosuke, et al.. (2025). Discontinuation of Semaglutide Among Older Adults With Diabetes in the US and Japan. JAMA Cardiology. 10(11). 1222–1222. 1 indexed citations
3.
4.
Zhang, Qi, Tianyi Xia, Yang Song, et al.. (2025). TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. Volume 12. 193–203. 2 indexed citations
5.
Zhang, Zining, et al.. (2025). Behavior Regulation of *CO over Self‐Evolution Tandem Catalysts Under Tuned Interfacial Electric Field Boosts CO2 Electroreduction. Angewandte Chemie International Edition. 64(40). e202511704–e202511704. 1 indexed citations
6.
Xing, Yue, Yangfan Hu, Xian‐Wei Liu, et al.. (2025). Bone Reporting and Data System on MRI (Bone-RADS-MRI): a validation study by four readers on 275 cases from three local and two public databases. Insights into Imaging. 16(1). 155–155.
7.
Lv, Ziqi, Yang Song, Kanghui Zhang, et al.. (2024). Optimizing flotation froth image segmentation via parallel branch network and hybrid loss supervision. Minerals Engineering. 219. 109060–109060. 3 indexed citations
8.
Xia, Tianyi, Tianying Zheng, Shan Huang, et al.. (2024). Fully automated hybrid approach on conventional MRI for triaging clinically significant liver fibrosis: A multi‐center cohort study. Journal of Medical Virology. 96(8). e29882–e29882. 2 indexed citations
9.
10.
Cui, Long, Yang Song, Yida Wang, et al.. (2023). Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis. PLoS ONE. 18(1). e0278668–e0278668. 19 indexed citations
11.
Zhang, Jing, Chenao Zhan, Yang Song, et al.. (2023). Fully automatic classification of breast lesions on multi-parameter MRI using a radiomics model with minimal number of stable, interpretable features. La radiologia medica. 128(2). 160–170. 12 indexed citations
12.
Wang, Yida, He Zhang, Chenglong Wang, et al.. (2023). A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI. Journal of Magnetic Resonance Imaging. 59(2). 483–493. 5 indexed citations
13.
Bao, Jie, Ying Hou, Dongmei Wu, et al.. (2023). PI-RADSAI: introducing a new human-in-the-loop AI model for prostate cancer diagnosis based on MRI. British Journal of Cancer. 128(6). 1019–1029. 19 indexed citations
14.
15.
Song, Yang, Ying Hou, Rui Zhi, et al.. (2022). Performance of Artificial Intelligence‐Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study. Journal of Magnetic Resonance Imaging. 57(5). 1352–1364. 14 indexed citations
16.
Liu, Wencai, Wanying Li, Bing Yang, et al.. (2022). Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma. Frontiers in Endocrinology. 13. 1054358–1054358. 21 indexed citations
17.
Song, Yang, Jascha Sohl‐Dickstein, Diederik P. Kingma, et al.. (2021). Score-Based Generative Modeling through Stochastic Differential Equations. International Conference on Learning Representations. 6 indexed citations
18.
Song, Yang, Jing Zhang, Yu‐Dong Zhang, et al.. (2020). FeAture Explorer (FAE): A tool for developing and comparing radiomics models. PLoS ONE. 15(8). e0237587–e0237587. 188 indexed citations
19.
Song, Yang, et al.. (2019). Sliced Score Matching: A Scalable Approach to Density and Score Estimation. arXiv (Cornell University). 574–584. 5 indexed citations
20.
Song, Yang & Stefano Ermon. (2019). Generative Modeling by Estimating Gradients of the Data Distribution. arXiv (Cornell University). 32. 11895–11907. 21 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 Yong Yin Breakdown of academic impact, for papers by Alireza Mehrtash Breakdown of academic impact, for papers by Albert Comelli Breakdown of academic impact, for papers by Isabelle Gardin Breakdown of academic impact, for papers by Maria Vakalopoulou Breakdown of academic impact, for papers by Alessandro Stefano Breakdown of academic impact, for papers by Jan Hendrik Moltz Breakdown of academic impact, for papers by Neelam Tyagi Breakdown of academic impact, for papers by Ida Häggström
Rankless by CCL
2026