Song Yan

778 total citations
14 papers, 205 citations indexed

About

Song Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Song Yan has authored 14 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Song Yan's work include Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (2 papers) and Advanced Neural Network Applications (2 papers). Song Yan is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (2 papers) and Advanced Neural Network Applications (2 papers). Song Yan collaborates with scholars based in China, Finland and United States. Song Yan's co-authors include Jinhui Tang, Huajun Zhou, Joni‐Kristian Kämäräinen, Shuoyu Xu, Jiao Li, Jinhua Wang, Li-Rong Dai, Li Li, Ian McLoughlin and Xinhua Jiang and has published in prestigious journals such as Journal of Ultrasound in Medicine, Machine Vision and Applications and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Song Yan

11 papers receiving 192 citations

Peers

Song Yan
Paulo Cezar Pinto Carvalho Brazil
Marcin Adamski Poland
Kanata Suzuki Japan
Marek Tabędzki Poland
Yingjie Zhou China
Hanming Deng China
Halim Benhabiles France
Hao Kang United States
Ying Tong China
Paulo Cezar Pinto Carvalho Brazil
Song Yan
Citations per year, relative to Song Yan Song Yan (= 1×) peers Paulo Cezar Pinto Carvalho

Countries citing papers authored by Song Yan

Since Specialization
Citations

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

Fields of papers citing papers by Song Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Song Yan. A scholar is included among the top collaborators of Song Yan 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 Song Yan. Song Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Yan, Song, et al.. (2021). Silhouette Body Measurement Benchmarks. Trepo - Institutional Repository of Tampere University. 7804–7809. 8 indexed citations
2.
Yan, Song, Jinyu Yang, Aleš Leonardis, & Joni‐Kristian Kämäräinen. (2021). Depth-only Object Tracking.
3.
Yan, Song, et al.. (2020). Anthropometric clothing measurements from 3D body scans. Machine Vision and Applications. 31(1-2). 32 indexed citations
4.
Meng, Xiangrui & Song Yan. (2020). Multimodal Haptic Interaction Technology and its Application. Journal of Physics Conference Series. 1650(3). 32138–32138. 2 indexed citations
5.
Yan, Song, et al.. (2019). Design and Implementation of NBA Playoff Prediction Method Based on ELO Algorithm and Graph Database. Journal of Computer and Communications. 7(11). 54–64.
6.
Qian, Yanlin, Song Yan, Joni‐Kristian Kämäräinen, & Jiřı́ Matas. (2019). Flash Lightens Gray Pixe. 4604–4608. 1 indexed citations
7.
Li, Jiao, Song Yan, Shuoyu Xu, et al.. (2018). Predicting underestimation of ductal carcinoma in situ: a comparison between radiomics and conventional approaches. International Journal of Computer Assisted Radiology and Surgery. 14(4). 709–721. 23 indexed citations
8.
Zhang, Hongmei, et al.. (2018). Fast Von Mises strain imaging on ultrasound carotid vessel wall by flow driven diffusion method. Australasian Physical & Engineering Sciences in Medicine. 41(3). 669–686. 5 indexed citations
9.
Zhou, Huajun, et al.. (2017). Inception Single Shot MultiBox Detector for object detection. 549–554. 109 indexed citations
10.
Chen, Yu, et al.. (2017). Value of Ultrasonographic Features for Assessing Malignant Potential of Complex Cystic Breast Lesions. Journal of Ultrasound in Medicine. 36(4). 699–704. 11 indexed citations
11.
Yan, Song, et al.. (2016). Compact convolutional neural network transfer learning for small-scale image classification. Kent Academic Repository (University of Kent). 9 indexed citations
12.
Li, Tong, Song Yan, & Tao Mei. (2015). An auto exposure control algorithm based on lane recognition for on-board camera. 851–856. 4 indexed citations
13.
14.
Beltyukova, Svetlana A., et al.. (2001). Rasch Regression Predicts Driving Capability. Chapman University Digital Commons (Chapman University). 1 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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2026