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

align trajectories

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.

Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model

2023 121 citations Tianyi Xia, Yu Qian et al. profile →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Foreign object detection on vibrating screens: A precision-oriented rotational detection framework with attention mechanisms 2025 ·Measurement ·Weidong Wang, (unknown), Yang Song, (unknown), (unknown), Yuxin Wu, Jiangtao Li, Haibo Zeng, Ziqi Lv	0
2	Discontinuation of Semaglutide Among Older Adults With Diabetes in the US and Japan 2025 ·JAMA Cardiology ·Kosuke Inoue, (unknown), (unknown), Liang Li, Yang Song, Sadiya S. Khan, (unknown)	1
3	Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging 2025 ·Cancer Imaging ·(unknown), (unknown), (unknown), Yang Song, Shiteng Suo, Yan Ren, (unknown), Yi Zhu, Mengqiu Cao, Yan Zhou	2
4	TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma 2025 ·Journal of Hepatocellular Carcinoma ·(unknown), Qi Zhang, (unknown), (unknown), (unknown), Tianyi Xia, Yang Song, Shuwei Zhou, (unknown), (unknown), (unknown), (unknown), Jinrong Qu, (unknown), Zhao Chen, Teng Zhang, (unknown), Shenghong Ju, Yuancheng Wang	2
5	Behavior Regulation of CO over Self‐Evolution Tandem Catalysts Under Tuned Interfacial Electric Field Boosts CO₂ Electroreduction 2025 ·Angewandte Chemie International Edition* ·Zining Zhang, (unknown), Yang Song, (unknown), Qi Fang, Yusuke Yamauchi, Jing Tang	1
6	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 2025 ·Insights into Imaging ·Yue Xing, Yangfan Hu, Xian‐Wei Liu, Defang Ding, Shun Dai, (unknown), Guangcheng Zhang, Shiqi Mao, (unknown), (unknown), (unknown), Yang Song, Huan Zhang, (unknown), Weiwu Yao, Jingyu Zhong	0
7	Optimizing flotation froth image segmentation via parallel branch network and hybrid loss supervision 2024 ·Minerals Engineering ·(unknown), Ziqi Lv, Yang Song, Kanghui Zhang, Weidong Wang, Sai Chen, Ming Liu, (unknown), Zhiqiang Xu	3
8	Fully automated hybrid approach on conventional MRI for triaging clinically significant liver fibrosis: A multi‐center cohort study 2024 ·Journal of Medical Virology ·(unknown), Tianyi Xia, (unknown), Tianying Zheng, Shan Huang, Yu Qian, Jiaying Zhou, (unknown), (unknown), (unknown), Yang Song, Jun Xu, Bin Song, Yupin Liu, Shenghong Ju	2
9	Machine learning-based MRI radiomics for assessing the level of tumor infiltrating lymphocytes in oral tongue squamous cell carcinoma: a pilot study 2024 ·BMC Medical Imaging ·Jiliang Ren, (unknown), Yang Song, Chunye Zhang, Ying Yuan	4
10	Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis 2023 ·PLoS ONE ·Long Cui, Yang Song, Yida Wang, Rui Wang, (unknown), (unknown), Jianqi Li, Guang Yang	19
11	Fully automatic classification of breast lesions on multi-parameter MRI using a radiomics model with minimal number of stable, interpretable features 2023 ·La radiologia medica ·Jing Zhang, Chenao Zhan, (unknown), Yang Song, Yan Xu, Yihao Guo, Tao Ai, Guang Yang	12
12	A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI 2023 ·Journal of Magnetic Resonance Imaging ·(unknown), Yida Wang, He Zhang, (unknown), Chenglong Wang, (unknown), Yang Song, Hao Zhu, Guang Yang	5
13	PI-RADSAI: introducing a new human-in-the-loop AI model for prostate cancer diagnosis based on MRI 2023 ·British Journal of Cancer ·(unknown), (unknown), Jie Bao, Ying Hou, (unknown), Dongmei Wu, Yang Song, Chunhong Hu, Guang Yang, Yu‐Dong Zhang	19
14	Whole-tumor histogram analysis of apparent diffusion coefficient maps with machine learning algorithms for predicting histologic grade of sinonasal squamous cell carcinoma: a preliminary study 2023 ·European Archives of Oto-Rhino-Laryngology ·Yue Geng, (unknown), (unknown), (unknown), Yan Sha, Yang Song	5
15	Performance of Artificial Intelligence‐Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study 2022 ·Journal of Magnetic Resonance Imaging ·(unknown), Yang Song, Ying Hou, Rui Zhi, Jing Zhang, Meiling Bao, Hai Li, Xu Yan, Wei Xi, (unknown), Ye‐Feng Yao, Guang Yang, Yu‐Dong Zhang	14
16	Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma 2022 ·Frontiers in Endocrinology ·(unknown), (unknown), Wencai Liu, (unknown), Wanying Li, Bing Yang, Yang Song, Ting Li, Wenle Li, Hui Zhou, Chengliang Yin	21
17	Score-Based Generative Modeling through Stochastic Differential Equations 2021 ·International Conference on Learning Representations ·Yang Song, Jascha Sohl‐Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole	6
18	FeAture Explorer (FAE): A tool for developing and comparing radiomics models 2020 ·PLoS ONE ·Yang Song, Jing Zhang, Yu‐Dong Zhang, Ying Hou, Xu Yan, Yida Wang, Minxiong Zhou, Ye‐Feng Yao, Guang Yang	188
19	Sliced Score Matching: A Scalable Approach to Density and Score Estimation 2019 ·arXiv (Cornell University) ·Yang Song, (unknown), Jiaxin Shi, Stefano Ermon	5
20	Generative Modeling by Estimating Gradients of the Data Distribution 2019 ·arXiv (Cornell University) ·Yang Song, Stefano Ermon	21

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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