Jiebo Song

1.1k total citations · 1 hit paper
3 papers, 594 citations indexed

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 3 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiebo Song's work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Jiebo Song is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Jiebo Song collaborates with scholars based in China, Mexico and Japan. Jiebo Song's co-authors include Kaisheng Ma, Chenglong Bao, Jingwei Chen, Linfeng Zhang, Hongyang Chen, Xiaolong Ma, Kaidi Xu, Mu Zhou, Yanzhi Wang and Yunfei Yang and has published in prestigious journals such as .

In The Last Decade

Jiebo Song

3 papers receiving 583 citations

Hit Papers

Be Your Own Teacher: Improve the Performance of Convoluti... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiebo Song China 3 343 337 46 38 35 3 594
Diego Ortego Spain 8 333 1.0× 400 1.2× 35 0.8× 27 0.7× 54 1.5× 14 635
Renrui Zhang China 10 453 1.3× 312 0.9× 45 1.0× 22 0.6× 50 1.4× 18 732
Shizhe Hu China 14 373 1.1× 325 1.0× 56 1.2× 31 0.8× 22 0.6× 35 614
Zi-Rui Wang China 11 294 0.9× 374 1.1× 73 1.6× 71 1.9× 49 1.4× 23 661
Dilin Wang United States 10 389 1.1× 263 0.8× 71 1.5× 35 0.9× 37 1.1× 22 603
Xiaojie Jin China 15 508 1.5× 231 0.7× 47 1.0× 26 0.7× 43 1.2× 31 723
Yunhang Shen China 16 524 1.5× 248 0.7× 71 1.5× 18 0.5× 39 1.1× 48 725
Sara Sabour United States 5 269 0.8× 220 0.7× 27 0.6× 30 0.8× 40 1.1× 5 462
Nicholas Frosst United States 4 244 0.7× 234 0.7× 27 0.6× 29 0.8× 39 1.1× 4 434
Xizhan Gao China 15 253 0.7× 146 0.4× 83 1.8× 32 0.8× 52 1.5× 55 479

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).

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.

Co-authorship network of co-authors of Jiebo Song

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

All Works

3 of 3 papers shown
1.
Song, Jiebo, et al.. (2020). PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. 1–6. 19 indexed citations
2.
Zhou, Mu, Yunfei Yang, Kaidi Xu, et al.. (2020). Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. 13733–13742. 18 indexed citations
3.
Zhang, Linfeng, et al.. (2019). Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. 3712–3721. 557 indexed citations breakdown →

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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