Shuo Xiang

407 total citations
10 papers, 288 citations indexed

About

Shuo Xiang is a scholar working on Computational Mechanics, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuo Xiang has authored 10 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 4 papers in Statistics and Probability and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuo Xiang's work include Sparse and Compressive Sensing Techniques (5 papers), Statistical Methods and Inference (4 papers) and Face and Expression Recognition (3 papers). Shuo Xiang is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Statistical Methods and Inference (4 papers) and Face and Expression Recognition (3 papers). Shuo Xiang collaborates with scholars based in United States and China. Shuo Xiang's co-authors include Jieping Ye, Yalin Wang, Paul M. Thompson, Lei Yuan, Qian Sun, Xiaotong Shen, Wei Fan, Wei Fan, Yunzhang Zhu and Tao Yang and has published in prestigious journals such as NeuroImage, Artificial Intelligence and Computational and Applied Mathematics.

In The Last Decade

Shuo Xiang

9 papers receiving 284 citations

Peers

Shuo Xiang
Jiaji Huang United States
Zilan Hu China
Giorgos Sfikas Greece
Shibin Parameswaran United States
Kaidi Cao United States
Limei Zhang China
Haifeng Zhao China
N.B. Karayiannis United States
Dong Yin China
Shijie Li China
Jiaji Huang United States
Shuo Xiang
Citations per year, relative to Shuo Xiang Shuo Xiang (= 1×) peers Jiaji Huang

Countries citing papers authored by Shuo Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Xiang

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

All Works

10 of 10 papers shown
1.
2.
Tang, Mingyu, et al.. (2023). A YOLOv3-based Framework for Weed Detection in Agricultural Fields. 26. 1980–1986. 1 indexed citations
3.
Xiang, Shuo, Xiaotong Shen, & Jieping Ye. (2015). Efficient nonconvex sparse group feature selection via continuous and discrete optimization. Artificial Intelligence. 224. 28–50. 16 indexed citations
4.
Xiang, Shuo, Tao Yang, & Jieping Ye. (2014). Simultaneous feature and feature group selection through hard thresholding. 532–541. 11 indexed citations
5.
Xiang, Shuo, Lei Yuan, Wei Fan, et al.. (2013). Bi-level multi-source learning for heterogeneous block-wise missing data. NeuroImage. 102. 192–206. 68 indexed citations
6.
Sun, Qian, Shuo Xiang, & Jieping Ye. (2013). Robust principal component analysis via capped norms. 311–319. 65 indexed citations
7.
Xiang, Shuo, Lei Yuan, Wei Fan, et al.. (2013). Multi-source learning with block-wise missing data for Alzheimer's disease prediction. 185–193. 68 indexed citations
8.
Xiang, Shuo, Yunzhang Zhu, Xiaotong Shen, & Jieping Ye. (2012). Optimal exact least squares rank minimization. PubMed. 2012. 480–488. 28 indexed citations
9.
Xiang, Shuo, et al.. (2012). Efficient Sparse Group Feature Selection via Nonconvex Optimization. arXiv (Cornell University). 284–292. 30 indexed citations
10.
Ren, Guoquan, et al.. (2010). Application of Shape from Shading Algorithm in Wear Debris 3D Surface Shape Recovery. 8. 586–589. 1 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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2026