Xiaoning Song

1.5k total citations
68 papers, 1.2k citations indexed

About

Xiaoning Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Xiaoning Song has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 16 papers in Computational Theory and Mathematics. Recurrent topics in Xiaoning Song's work include Face and Expression Recognition (30 papers), Face recognition and analysis (17 papers) and Sparse and Compressive Sensing Techniques (14 papers). Xiaoning Song is often cited by papers focused on Face and Expression Recognition (30 papers), Face recognition and analysis (17 papers) and Sparse and Compressive Sensing Techniques (14 papers). Xiaoning Song collaborates with scholars based in China, United Kingdom and United States. Xiaoning Song's co-authors include Xibei Yang, Jingyu Yang, Zhenhua Feng, Yunsong Qi, Xiao‐Jun Wu, Dong‐Jun Yu, Hualong Yu, Shuang Wu, Guosheng Hu and Yong Qi and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

In The Last Decade

Xiaoning Song

66 papers receiving 1.1k citations

Peers

Xiaoning Song

CTM

CVPR

MSOR

Can Gao China

Yanyong Huang China

H. Hannah Inbarani India

Tingquan Deng China

Wei-Zhi Wu China

Jinjin Li China

Hegui Zhu China

Kaspar Riesen Switzerland

Hengrong Ju China

Chun-Ru Dong China

Can Gao China

Xiaoning Song

344 ×0.6

CTM

394 ×0.9

262 ×0.7

CVPR

182 ×0.6

117 ×0.8

MSOR

Citations per year, relative to Xiaoning Song Xiaoning Song (= 1×) peers Can Gao

Countries citing papers authored by Xiaoning Song

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoning Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoning Song

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Hui, et al.. (2024). Conti-Fuse: A novel continuous decomposition-based fusion framework for infrared and visible images. Information Fusion. 117. 102839–102839. 8 indexed citations

Kong, Qiuqiang, et al.. (2022). Feature Alignment for Robust Acoustic Scene Classification Across Devices. IEEE Signal Processing Letters. 29. 578–582. 6 indexed citations

Wu, Xiao‐Jun, et al.. (2022). Face Recognition via Compact Second-Order Image Gradient Orientations. Mathematics. 10(15). 2587–2587. 2 indexed citations

Yang, Hua, Xiaoning Song, Zhenhua Feng, et al.. (2022). CPInformer for Efficient and Robust Compound-Protein Interaction Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(1). 285–296. 26 indexed citations

Wu, Shuang, Xiaoning Song, & Zhenhua Feng. (2021). MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition. View. 1529–1539. 87 indexed citations

Liu, Yan, Yiheng Zhu, Xiaoning Song, Jiangning Song, & Dong‐Jun Yu. (2021). Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation. Briefings in Bioinformatics. 22(5). 9 indexed citations

Song, Xiaoning, et al.. (2021). From RGB to Depth: Domain Transfer Network for Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security. 16. 4280–4290. 21 indexed citations

Hu, Cong & Xiaoning Song. (2020). Graph Regularized Variational Ladder Networks for Semi-Supervised Learning. IEEE Access. 8. 206280–206288. 2 indexed citations

Liu, Lixiong, et al.. (2020). Image Quality Assessment Based on Quaternion Singular Value Decomposition. IEEE Access. 8. 75925–75935. 7 indexed citations

10.

Chen, Youming, et al.. (2020). Deep aligned feature extraction for collaborative-representation-based face classification with group dictionary selection. International Journal of Advanced Robotic Systems. 17(6). 1 indexed citations

11.

Song, Xiaoning, et al.. (2020). SP-GAN: Self-Growing and Pruning Generative Adversarial Networks. IEEE Transactions on Neural Networks and Learning Systems. 32(6). 2458–2469. 19 indexed citations

12.

Shi, Liang, Na Tian, Xiaoning Song, & Yuquan Zhu. (2019). Jointly using convolutional neural network and PCA-constrained optimization model for sparse representation-based classification. Journal of Image and Graphics. 24(4). 503–512. 1 indexed citations

13.

Zhang, Tao, Chen Gong, Wenjing Jia, et al.. (2018). Supervised Image Classification with Self-Paced Regularization. 411–414.

14.

Gao, Shang, et al.. (2018). Linear representation of intra‐class discriminant features for small‐sample face recognition. The Journal of Engineering. 2018(16). 1668–1673. 2 indexed citations

15.

Yang, Xibei, et al.. (2016). Multigranulation rough set: A multiset based strategy. International Journal of Computational Intelligence Systems. 10(1). 277–277. 23 indexed citations

16.

Ju, Hengrong, Xibei Yang, Xiaoning Song, & Yunsong Qi. (2014). Dynamic updating multigranulation fuzzy rough set: approximations and reducts. International Journal of Machine Learning and Cybernetics. 5(6). 981–990. 40 indexed citations

17.

Song, Xiaoning, Zi Liu, Xibei Yang, & Jingyu Yang. (2013). A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis. Computers & Mathematics with Applications. 66(10). 1782–1794. 3 indexed citations

18.

Yang, Xibei, Yunsong Qi, Xiaoning Song, & Jingyu Yang. (2013). Test cost sensitive multigranulation rough set: Model and minimal cost selection. Information Sciences. 250. 184–199. 119 indexed citations

19.

Yang, Xibei, Xiaoning Song, Zehua Chen, & Jingyu Yang. (2011). On multigranulation rough sets in incomplete information system. International Journal of Machine Learning and Cybernetics. 3(3). 223–232. 69 indexed citations

20.

Song, Xiaoning, et al.. (2007). Vegetation water inversion using MODIS satellite data. 1865–1868. 4 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.

Explore authors with similar magnitude of impact