Bin Song

6.3k total citations
47 papers, 483 citations indexed

About

Bin Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Oncology. According to data from OpenAlex, Bin Song has authored 47 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Hepatology and 13 papers in Oncology. Recurrent topics in Bin Song's work include Radiomics and Machine Learning in Medical Imaging (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers) and MRI in cancer diagnosis (10 papers). Bin Song is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers) and MRI in cancer diagnosis (10 papers). Bin Song collaborates with scholars based in China, United States and South Korea. Bin Song's co-authors include Helmut Sigel, Roland K. O. Sigel, Hanyu Jiang, Ting Duan, Mou Li, Chencui Huang, Yongchang Zhang, Shengmei Liu, Yali Zhao and Hong Wei and has published in prestigious journals such as Journal of the American Chemical Society, Scientific Reports and Radiology.

In The Last Decade

Bin Song

42 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Song China	14	236	168	126	116	65	47	483
Tyson A. Rietz United States	15	197 0.8×	118 0.7×	61 0.5×	111 1.0×	138 2.1×	20	550
M Frieser Germany	13	119 0.5×	111 0.7×	210 1.7×	100 0.9×	122 1.9×	28	611
Marc A. Longino United States	12	236 1.0×	61 0.4×	53 0.4×	91 0.8×	59 0.9×	36	492
Hiroko Konishi Japan	6	120 0.5×	126 0.8×	114 0.9×	117 1.0×	30 0.5×	13	376
Joline S.W. Lind Netherlands	14	86 0.4×	276 1.6×	46 0.4×	184 1.6×	315 4.8×	20	656
Ningyi Ma China	13	76 0.3×	185 1.1×	59 0.5×	268 2.3×	160 2.5×	29	574
M. A. D. Vente Netherlands	13	438 1.9×	73 0.4×	414 3.3×	36 0.3×	258 4.0×	18	744
Victor Yip United States	11	159 0.7×	153 0.9×	33 0.3×	367 3.2×	27 0.4×	14	647
Michael Makar United States	11	393 1.7×	51 0.3×	40 0.3×	35 0.3×	283 4.4×	41	710
Huojun Zhang China	12	89 0.4×	232 1.4×	15 0.1×	54 0.5×	116 1.8×	39	381

Countries citing papers authored by Bin Song

Since Specialization

Citations

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

Fields of papers citing papers by Bin Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Song

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

Li, Qian, et al.. (2025). Emerging Role of MRI ‐Based Artificial Intelligence in Individualized Treatment Strategies for Hepatocellular Carcinoma: A Narrative Review. Journal of Magnetic Resonance Imaging. 63(1). 79–97. 1 indexed citations

Qu, Zheng, Ting Yang, Shan Yao, et al.. (2025). Performance of simultaneous multislice diffusion-weighted imaging using monoexponential, intravoxel incoherent motion, and diffusion kurtosis models: assessment of microvascular invasion and histologic grade in hepatocellular carcinoma. Cancer Imaging. 25(1). 113–113.

Jiang, Hanyu, Chongtu Yang, Yuxiang Ye, et al.. (2025). MRI ‐Based Topology Deep Learning Model for Noninvasive Prediction of Microvascular Invasion and Assisting Prognostic Stratification in HCC. Liver International. 45(3). e16205–e16205. 4 indexed citations

Yang, Yang, Xiaoyun Zhang, Mustafa R. Bashir, et al.. (2025). Imaging-based prediction of early recurrence and neoadjuvant therapy outcomes for resectable beyond Milan HCC. European Journal of Radiology. 184. 111945–111945. 1 indexed citations

Wang, Yi, Zixing Huang, Yuxi Liu, et al.. (2025). Preoperative CT-based radiomics model for predicting muscle invasion in patients with upper tract urothelial carcinoma below T3 stage. Abdominal Radiology. 50(12). 5872–5882.

Lu, Renhua, Haijiao Jin, Juan Cao, et al.. (2025). Randomized, Positive-Controlled Study on the Efficacy and Safety of Oral Polysaccharide-Iron Complex Therapy in Patients on Hemodialysis. Kidney International Reports. 10(6). 1742–1749.

Jiang, Hanyu, Roberto Cannella, Zhenru Wu, et al.. (2024). Prognostic Implications of MRI-assessed Intratumoral Fat in Hepatocellular Carcinoma: An Asian and European Cohort Study. Radiology. 313(2). e233471–e233471. 3 indexed citations

Hong, Wei, Jeong Hee Yoon, Sun Kyung Jeon, et al.. (2024). Enhancing gadoxetic acid–enhanced liver MRI: a synergistic approach with deep learning CAIPIRINHA-VIBE and optimized fat suppression techniques. European Radiology. 34(10). 6712–6725. 19 indexed citations

Song, Bin, et al.. (2024). Uplift modeling to predict individual treatment effects of renal replacement therapy in sepsis-associated acute kidney injury patients. Scientific Reports. 14(1). 5833–5833. 3 indexed citations

10.

Jin, Haijiao, Juan Cao, Hua Li, et al.. (2024). IHOPE: A Randomized, Open-Label, Positive-Controlled, Multicenter Study to Evaluate the Efficacy and Safety of Oral Iron Polysaccharide Complex in Patients on Hemodialysis. Journal of the American Society of Nephrology. 35(10S).

11.

Wei, Hong, Fangfang Fu, Hanyu Jiang, et al.. (2023). Development and validation of the OSASH score to predict overall survival of hepatocellular carcinoma after surgical resection: a dual-institutional study. European Radiology. 33(11). 7631–7645. 13 indexed citations

12.

Yin, Hongkun, Huiling Zhang, Yewu Wang, et al.. (2023). Predicting tumor deposits in rectal cancer: a combined deep learning model using T2-MR imaging and clinical features. Insights into Imaging. 14(1). 221–221. 5 indexed citations

13.

Li, Qian, Tong Zhang, Shan Yao, et al.. (2023). Intravoxel incoherent motion diffusion weighted imaging for preoperative evaluation of liver regeneration after hepatectomy in hepatocellular carcinoma. European Radiology. 33(8). 5222–5235. 5 indexed citations

14.

Taouli, Bachir, Ahmed Ba‐Ssalamah, Julius Chapiro, et al.. (2023). Consensus report from the 10th global forum for liver magnetic resonance imaging: multidisciplinary team discussion. European Radiology. 33(12). 9167–9181. 1 indexed citations

15.

Chen, Yidi, Yun Qin, Hong Wei, et al.. (2022). Preoperative prediction of glypican-3 positive expression in solitary hepatocellular carcinoma on gadoxetate-disodium enhanced magnetic resonance imaging. Frontiers in Immunology. 13. 973153–973153. 12 indexed citations

16.

Chen, Yidi, Basen Li, Yi‐Wu Dang, et al.. (2022). Multi-parameter diffusion and perfusion magnetic resonance imaging and radiomics nomogram for preoperative evaluation of aquaporin-1 expression in rectal cancer. Abdominal Radiology. 47(4). 1276–1290. 13 indexed citations

17.

Yang, Ting, Ying Li, Zheng Ye, et al.. (2022). Diffusion Weighted Imaging of the Abdomen and Pelvis: Recent Technical Advances and Clinical Applications. Academic Radiology. 30(3). 470–482. 4 indexed citations

18.

Yang, Wanshui, Hanyu Jiang, Chao Liu, et al.. (2021). Multi-Omics and Its Clinical Application in Hepatocellular Carcinoma: Current Progress and Future Opportunities. Chinese Medical Sciences Journal. 36(3). 173–186. 2 indexed citations

19.

Zhao, Jian, Wei Zhang, Jun Zhang, et al.. (2021). Development and validation of preoperative magnetic resonance imaging-based survival predictive nomograms for patients with perihilar cholangiocarcinoma after radical resection: A pilot study. European Journal of Radiology. 138. 109631–109631. 10 indexed citations

20.

Li, Mou, Yali Zhao, Chencui Huang, et al.. (2021). Computed Tomography-Based Radiomics for Preoperative Prediction of Tumor Deposits in Rectal Cancer. Frontiers in Oncology. 11. 710248–710248. 16 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.

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