Sibo Song

471 total citations
8 papers, 184 citations indexed

About

Sibo Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sibo Song has authored 8 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Sibo Song's work include Handwritten Text Recognition Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Sibo Song is often cited by papers focused on Handwritten Text Recognition Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Sibo Song collaborates with scholars based in China, Singapore and United States. Sibo Song's co-authors include Ngai‐Man Cheung, Yiren Zhou, Vijay Chandrasekhar, Bappaditya Mandal, G. S. D. Babu, Joo‐Hwee Lim, Liyuan Li, Phyo Phyo San, Xiang Bai and Wenqing Cheng and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Sibo Song

7 papers receiving 183 citations

Peers

Sibo Song
Brandon Yang United States
Toshanlal Meenpal India
Zhiqiang Tang China
Tingting Chai China
Qiushan Guo China
Hao Ye China
Fatma Ezahra Sayadi Tunisia
Jianhua Yang China
Kui Fan China
Zhanqiang Huo China
Brandon Yang United States
Sibo Song
Citations per year, relative to Sibo Song Sibo Song (= 1×) peers Brandon Yang

Countries citing papers authored by Sibo Song

Since Specialization
Citations

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

Fields of papers citing papers by Sibo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sibo Song

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

All Works

8 of 8 papers shown
1.
Yang, Zhibo, et al.. (2025). Generative compositor for few-shot visual information extraction. Pattern Recognition. 165. 111624–111624.
2.
Wan, Jianqiang, Sibo Song, Wenwen Yu, et al.. (2024). OMNIPARSER: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition. 15641–15653. 3 indexed citations
3.
Yang, Zhibo, Pengfei Wang, Sibo Song, et al.. (2023). Modeling Entities as Semantic Points for Visual Information Extraction in the Wild. 15358–15367. 7 indexed citations
4.
Song, Sibo, Jianqiang Wan, Zhibo Yang, et al.. (2022). Vision-Language Pre-Training for Boosting Scene Text Detectors. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15660–15670. 20 indexed citations
5.
Ding, Yichen, Varun Gudapati, René R. Sevag Packard, et al.. (2020). Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation. IEEE Transactions on Biomedical Engineering. 68(1). 225–235. 19 indexed citations
6.
Zhou, Yiren, Sibo Song, & Ngai‐Man Cheung. (2017). On classification of distorted images with deep convolutional neural networks. 1213–1217. 56 indexed citations
7.
Song, Sibo, et al.. (2016). Egocentric activity recognition with multimodal fisher vector. 2717–2721. 22 indexed citations
8.
Song, Sibo, Vijay Chandrasekhar, Bappaditya Mandal, et al.. (2016). Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. 378–385. 57 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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