Fan Song

1.4k total citations · 1 hit paper
52 papers, 904 citations indexed

About

Fan Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Fan Song has authored 52 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Biomedical Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Fan Song's work include Optical Imaging and Spectroscopy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Photoacoustic and Ultrasonic Imaging (10 papers). Fan Song is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Photoacoustic and Ultrasonic Imaging (10 papers). Fan Song collaborates with scholars based in China, United States and Hong Kong. Fan Song's co-authors include Guanglei Zhang, Peng Zhang, Guangda Fan, Youdan Feng, Chenbin Ma, Yangyang Sun, Dazhi Yin, Xu Yan, Mingxia Fan and Limin Sun and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Fan Song

49 papers receiving 889 citations

Hit Papers

align trajectories sort by overperformance

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.

Lung cancer organoids analyzed on microwell arrays predict drug responses of patients within a week

2021 187 citations Fan Song et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fan Song China	15	369	306	160	129	100	52	904
Suiren Wan China	14	196 0.5×	159 0.5×	290 1.8×	60 0.5×	73 0.7×	31	779
Pengfei Shao China	15	152 0.4×	96 0.3×	87 0.5×	140 1.1×	139 1.4×	64	815
Qiang Zheng China	15	215 0.6×	160 0.5×	74 0.5×	36 0.3×	53 0.5×	59	856
Richard E. Fan United States	22	522 1.4×	407 1.3×	113 0.7×	60 0.5×	662 6.6×	79	1.5k
Hiroshi Murata Japan	31	2.4k 6.5×	151 0.5×	66 0.4×	99 0.8×	107 1.1×	198	3.4k
Kazuko Itoh Japan	24	157 0.4×	151 0.5×	115 0.7×	180 1.4×	108 1.1×	102	1.9k
Zihao Zhang China	16	126 0.3×	51 0.2×	43 0.3×	55 0.4×	223 2.2×	79	882
Rui Zong China	14	102 0.3×	150 0.5×	49 0.3×	20 0.2×	111 1.1×	48	852
Xiangning Wang China	14	444 1.2×	87 0.3×	22 0.1×	448 3.5×	60 0.6×	58	1.4k

Countries citing papers authored by Fan Song

Since Specialization

Citations

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

Fields of papers citing papers by Fan Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Song

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

Yang, Chunyan, et al.. (2025). Comparative Mitogenomes and Phylogenetic Analyses of Coccinellidae (Coleoptera: Coccinelloidea). Ecology and Evolution. 15(3). e71053–e71053. 2 indexed citations

Lin, Ziqi, et al.. (2025). Evolutionary history and divergence times of Tettigoniidae (Orthoptera) inferred from mitochondrial phylogenomics. Frontiers in Genetics. 16. 1495754–1495754. 3 indexed citations

Feng, Xiaoli, et al.. (2025). Integrating ethical knowledge in generative AI education: constructing the GenAI-TPACK framework for university teachers’ professional development. Education and Information Technologies. 30(11). 15621–15644. 9 indexed citations

Ma, Chenbin, et al.. (2024). STP: Self-supervised transfer learning based on transformer for noninvasive blood pressure estimation using photoplethysmography. Expert Systems with Applications. 249. 123809–123809. 8 indexed citations

Zhang, Peng, Fan Song, Chenbin Ma, et al.. (2024). PST-Diff: Achieving High-Consistency Stain Transfer by Diffusion Models With Pathological and Structural Constraints. IEEE Transactions on Medical Imaging. 43(10). 3634–3647. 8 indexed citations

He, Jia, et al.. (2024). Full-Length Transcriptome Profiling of the Complete Mitochondrial Genome of Sericothrips houjii (Thysanoptera: Thripidae: Sericothripinae) Featuring Extensive Gene Rearrangement and Duplicated Control Regions. Insects. 15(9). 700–700. 2 indexed citations

Guo, Zhenkun, Fan Song, Xiaofeng Chen, et al.. (2024). Co-pyrolysis and co-combustion characteristics of low-rank coal and waste biomass: Insights into interactions, kinetics and synergistic effects. Journal of the Energy Institute. 118. 101918–101918. 13 indexed citations

Zhang, Tianyi, Youdan Feng, Youdan Feng, et al.. (2023). SI-ViT: Shuffle instance-based Vision Transformer for pancreatic cancer ROSE image classification. Computer Methods and Programs in Biomedicine. 244. 107969–107969. 7 indexed citations

Ma, Chenbin, Yangyang Sun, Peng Zhang, et al.. (2023). SMART-BP: SEM-ResNet and Auto-Regressor Based on a Two-Stage Framework for Noninvasive Blood Pressure Measurement. IEEE Transactions on Instrumentation and Measurement. 73. 1–18. 11 indexed citations

10.

Wu, Zizhang, et al.. (2023). ADD: An automatic desensitization fisheye dataset for autonomous driving. Engineering Applications of Artificial Intelligence. 126. 106766–106766. 3 indexed citations

11.

Zhang, Peng, Chenbin Ma, Fan Song, et al.. (2023). D2AFNet: A dual-domain attention cascade network for accurate and interpretable atrial fibrillation detection. Biomedical Signal Processing and Control. 82. 104615–104615. 12 indexed citations

12.

Huang, Weidong, Changhua Zhang, Ye Xu, et al.. (2023). Features and evolution of control regions in leafroller moths (Lepidoptera: Tortricidae) inferred from mitochondrial genomes and phylogeny. International Journal of Biological Macromolecules. 236. 123928–123928. 11 indexed citations

13.

Ma, Chenbin, Peng Zhang, Fan Song, et al.. (2023). PPG-Based Continuous BP Waveform Estimation Using Polarized Attention-Guided Conditional Adversarial Learning Model. IEEE Journal of Biomedical and Health Informatics. 29(6). 3918–3929. 10 indexed citations

14.

Song, Fan, Jiaxin Tian, Peng Zhang, et al.. (2023). A Novel Feature Engineering Method Based on Latent Representation Learning for Radiomics: Application in NSCLC Subtype Classification. IEEE Journal of Biomedical and Health Informatics. 28(1). 31–41. 9 indexed citations

15.

Zhao, Teng, et al.. (2022). A Swin Transformer-based model for mosquito species identification. Scientific Reports. 12(1). 18664–18664. 19 indexed citations

16.

Zhang, Peng, Chenbin Ma, Fan Song, et al.. (2022). Multi-branch attention prior based parameterized generative adversarial network for fast and accurate limited-projection reconstruction in fluorescence molecular tomography. Biomedical Optics Express. 13(10). 5327–5327. 6 indexed citations

17.

Zhao, Xiangyu, Peng Zhang, Fan Song, et al.. (2021). D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution. Computers in Biology and Medicine. 135. 104526–104526. 60 indexed citations

18.

Yang, Xin, Xueyan Li, Xiaoting Zhang, et al.. (2020). [Segmentation of organs at risk in nasopharyngeal cancer for radiotherapy using a self-adaptive Unet network].. PubMed. 40(11). 1579–1586. 9 indexed citations

19.

Yin, Dazhi, Yanli Luo, Fan Song, et al.. (2013). Functional reorganization associated with outcome in hand function after stroke revealed by regional homogeneity. Neuroradiology. 55(6). 761–770. 32 indexed citations

20.

Yin, Dazhi, Xu Yan, Mingxia Fan, et al.. (2013). Secondary Degeneration Detected by Combining Voxel-Based Morphometry and Tract-Based Spatial Statistics in Subcortical Strokes with Different Outcomes in Hand Function. American Journal of Neuroradiology. 34(7). 1341–1347. 33 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