Jiebo Song

4 papers and 440 indexed citations i.

About

Jiebo Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiebo Song has authored 4 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiebo Song’s work include Advanced Neural Network Applications (3 papers), COVID-19 diagnosis using AI (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Jiebo Song is often cited by papers focused on Advanced Neural Network Applications (3 papers), COVID-19 diagnosis using AI (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Jiebo Song collaborates with scholars based in China, United States and Japan. Jiebo Song's co-authors include Kaisheng Ma, Chenglong Bao, Linfeng Zhang, Jingwei Chen, Mu Zhou, Kaidi Xu, Yanzhi Wang, Hongyang Chen and Xiaolong Ma and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jiebo Song i

Fields of papers citing papers by Jiebo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jiebo Song

Since Specialization
Citations

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

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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2025