Ying Song

103 total papers · 2.5k total citations
56 papers, 1.4k citations indexed

About

Ying Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Ying Song has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 16 papers in Radiation. Recurrent topics in Ying Song's work include Advanced Radiotherapy Techniques (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Medical Imaging Techniques and Applications (12 papers). Ying Song is often cited by papers focused on Advanced Radiotherapy Techniques (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Medical Imaging Techniques and Applications (12 papers). Ying Song collaborates with scholars based in China, Singapore and United States. Ying Song's co-authors include Shuangjia Zheng, Yuedong Yang, Jianwen Chen, Yunfei Zha, Huiying Zhao, Jun Shen, Yutian Chong, Xiang Zhang, Liang Li and Ziwang Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Ying Song

53 papers receiving 1.4k citations

Hit Papers

Deep Learning Enables Acc... 2021 2026 2022 2024 2021 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ying Song 944 396 239 184 176 56 1.4k
Bo Zhou 616 0.7× 158 0.4× 369 1.5× 103 0.6× 110 0.6× 130 1.6k
Sarada Prasad Dakua 479 0.5× 294 0.7× 427 1.8× 130 0.7× 30 0.2× 73 1.8k
Avishek Chatterjee 799 0.8× 334 0.8× 245 1.0× 279 1.5× 121 0.7× 38 1.1k
Ali Kamen 748 0.8× 254 0.6× 291 1.2× 344 1.9× 85 0.5× 66 1.4k
Yuan Xu 992 1.1× 310 0.8× 538 2.3× 121 0.7× 129 0.7× 82 1.7k
João Santos 295 0.3× 391 1.0× 137 0.6× 95 0.5× 90 0.5× 75 1.1k
Yi Luo 599 0.6× 211 0.5× 145 0.6× 278 1.5× 174 1.0× 74 1.2k
J. Titano 743 0.8× 512 1.3× 175 0.7× 293 1.6× 41 0.2× 31 1.6k
Chenyang Shen 773 0.8× 231 0.6× 394 1.6× 321 1.7× 506 2.9× 82 1.3k
Michael K. K. Leung 548 0.6× 113 0.3× 854 3.6× 390 2.1× 367 2.1× 25 1.8k

Countries citing papers authored by Ying Song

Since Specialization
Citations

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

Fields of papers citing papers by Ying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Song. A scholar is included among the top collaborators of Ying 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 Ying Song. Ying 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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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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