Weinan Song

557 total citations
8 papers, 354 citations indexed

About

Weinan Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weinan Song has authored 8 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weinan Song's work include Advanced Neural Network Applications (4 papers), AI in cancer detection (3 papers) and COVID-19 diagnosis using AI (3 papers). Weinan Song is often cited by papers focused on Advanced Neural Network Applications (4 papers), AI in cancer detection (3 papers) and COVID-19 diagnosis using AI (3 papers). Weinan Song collaborates with scholars based in United States and China. Weinan Song's co-authors include Ritchie Zhao, Wentao Zhang, Tianwei Xing, Rajesh K. Gupta, Zhiru Zhang, Mani Srivastava, Jeng-Hau Lin, Zhijun Wang, Jingzhi Hu and Lei He and has published in prestigious journals such as Scientific Reports, Proceedings of the AAAI Conference on Artificial Intelligence and Asian Conference on Machine Learning.

In The Last Decade

Weinan Song

8 papers receiving 348 citations

Peers

Weinan Song
Philipp Gysel United States
Zhenglun Kong United States
Jonghoon Jin United States
Mingcong Song United States
Jinwei Xu China
Qing Jin United States
Philipp Gysel United States
Weinan Song
Citations per year, relative to Weinan Song Weinan Song (= 1×) peers Philipp Gysel

Countries citing papers authored by Weinan Song

Since Specialization
Citations

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

Fields of papers citing papers by Weinan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weinan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Weinan Song. A scholar is included among the top collaborators of Weinan 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 Weinan Song. Weinan 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.
Miao, Qi, Weinan Song, Fabien Scalzo, et al.. (2024). AtPCa-Net: anatomical-aware prostate cancer detection network on multi-parametric MRI. Scientific Reports. 14(1). 5740–5740. 2 indexed citations
2.
Yang, Jiawei, Yuan Liang, Yao Zhang, et al.. (2021). Exploring Instance-Level Uncertainty for Medical Detection. 448–452. 3 indexed citations
3.
4.
Song, Weinan, Yuan Liang, Jiawei Yang, Kun Wang, & Lei He. (2021). Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray. Proceedings of the AAAI Conference on Artificial Intelligence. 35(1). 566–573. 17 indexed citations
5.
Liang, Yuan, et al.. (2020). Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation.. Asian Conference on Machine Learning. 113–128. 1 indexed citations
6.
Song, Weinan, Liang Yuan, Kun Wang, & Lei He. (2020). T-Net: A Template-Supervised Network for Task-specific Feature Extraction in Biomedical Image Analysis. 1 indexed citations
8.
Zhao, Ritchie, Weinan Song, Wentao Zhang, et al.. (2017). Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs. 15–24. 303 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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