Guohui Song

464 total citations
23 papers, 273 citations indexed

About

Guohui Song is a scholar working on Computational Mechanics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guohui Song has authored 23 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 9 papers in Mathematical Physics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guohui Song's work include Sparse and Compressive Sensing Techniques (13 papers), Numerical methods in inverse problems (9 papers) and Image and Signal Denoising Methods (5 papers). Guohui Song is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Numerical methods in inverse problems (9 papers) and Image and Signal Denoising Methods (5 papers). Guohui Song collaborates with scholars based in United States, China and Cyprus. Guohui Song's co-authors include Lei Wu, Haizhang Zhang, Anne Gelb, Fred J. Hickernell, Yuesheng Xu, John M. Riddle, Gregory E. Fasshauer, Yi Sui, Ben Adcock and Guangming Yao and has published in prestigious journals such as IEEE Transactions on Power Systems, Neural Computation and SIAM Journal on Numerical Analysis.

In The Last Decade

Guohui Song

21 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohui Song United States 10 117 86 73 56 42 23 273
Yoon Mo Jung South Korea 10 32 0.3× 143 1.7× 96 1.3× 14 0.3× 11 0.3× 27 315
Samuel Vaiter France 7 144 1.2× 8 0.1× 69 0.9× 56 1.0× 16 0.4× 18 207
Pekka Neittaanmäki Finland 8 127 1.1× 39 0.5× 24 0.3× 32 0.6× 31 0.7× 32 340
Mourad Nachaoui Morocco 12 71 0.6× 15 0.2× 185 2.5× 113 2.0× 11 0.3× 61 359
Andrew Thompson United Kingdom 8 118 1.0× 63 0.7× 35 0.5× 10 0.2× 7 0.2× 29 209
Yunzhe Tao United States 9 47 0.4× 51 0.6× 36 0.5× 19 0.3× 25 0.6× 14 301
Binbin Hao China 10 52 0.4× 102 1.2× 66 0.9× 6 0.1× 13 0.3× 36 327
Laming Chen China 10 211 1.8× 38 0.4× 66 0.9× 7 0.1× 9 0.2× 25 311
Ch. Dossal France 5 218 1.9× 6 0.1× 49 0.7× 125 2.2× 20 0.5× 8 341
Yuchao Tang China 12 141 1.2× 9 0.1× 30 0.4× 96 1.7× 14 0.3× 64 427

Countries citing papers authored by Guohui Song

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Song

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

All Works

20 of 20 papers shown
1.
Shen, Lixin, et al.. (2024). Hyperparameter Estimation for Sparse Bayesian Learning Models. SIAM/ASA Journal on Uncertainty Quantification. 12(3). 759–787. 1 indexed citations
2.
Gelb, Anne, et al.. (2023). Generalized Sparse Bayesian Learning and Application to Image Reconstruction. SIAM/ASA Journal on Uncertainty Quantification. 11(1). 262–284. 12 indexed citations
3.
Gelb, Anne, et al.. (2022). Sequential Image Recovery from Noisy and Under-Sampled Fourier Data. Journal of Scientific Computing. 91(3). 3 indexed citations
4.
Zou, Yuru, et al.. (2021). A NONLOCAL LOW-RANK REGULARIZATION METHOD FOR FRACTAL IMAGE CODING. Fractals. 29(5). 2150125–2150125. 6 indexed citations
5.
Song, Guohui, et al.. (2020). Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm. Journal of Complexity. 63. 101514–101514. 7 indexed citations
6.
Song, Guohui, et al.. (2020). Admissible Concentration Factors for Edge Detection from Non-uniform Fourier Data. Journal of Scientific Computing. 85(1).
7.
Li, Zheng, Guohui Song, & Yuesheng Xu. (2019). A Two-Step Fixed-Point Proximity Algorithm for a Class of Non-differentiable Optimization Models in Machine Learning. Journal of Scientific Computing. 81(2). 923–940. 4 indexed citations
8.
Adcock, Ben, Anne Gelb, Guohui Song, & Yi Sui. (2019). Joint Sparse Recovery Based on Variances. SIAM Journal on Scientific Computing. 41(1). A246–A268. 12 indexed citations
9.
Guo, Weihong, Guohui Song, & Yue Zhang. (2017). PCM-TV-TFV: A Novel Two-Stage Framework for Image Reconstruction from Fourier Data. SIAM Journal on Imaging Sciences. 10(4). 2250–2274. 5 indexed citations
10.
Song, Guohui, et al.. (2016). A High-Dimensional Inverse Frame Operator Approximation Technique. SIAM Journal on Numerical Analysis. 54(4). 2282–2301. 2 indexed citations
11.
Gelb, Anne & Guohui Song. (2014). A Frame Theoretic Approach to the Nonuniform Fast Fourier Transform. SIAM Journal on Numerical Analysis. 52(3). 1222–1242. 13 indexed citations
12.
Wu, Lei, et al.. (2014). Convergence of Volatile Power Markets With Price-Based Demand Response. IEEE Transactions on Power Systems. 29(5). 2107–2118. 81 indexed citations
13.
Song, Guohui & Anne Gelb. (2012). Approximating the inverse frame operator from localized frames. Applied and Computational Harmonic Analysis. 35(1). 94–110. 12 indexed citations
14.
Song, Guohui, Haizhang Zhang, & Fred J. Hickernell. (2012). Reproducing kernel Banach spaces with theℓ1norm. Applied and Computational Harmonic Analysis. 34(1). 96–116. 30 indexed citations
15.
Song, Guohui & Haizhang Zhang. (2011). Reproducing Kernel Banach Spaces with the ℓ1Norm II: Error Analysis for Regularized Least Square Regression. Neural Computation. 23(10). 2713–2729. 23 indexed citations
16.
Song, Guohui, John M. Riddle, Gregory E. Fasshauer, & Fred J. Hickernell. (2011). Multivariate interpolation with increasingly flat radial basis functions of finite smoothness. Advances in Computational Mathematics. 36(3). 485–501. 24 indexed citations
17.
Song, Guohui & Yuesheng Xu. (2010). Approximation of high-dimensional kernel matrices by multilevel circulant matrices. Journal of Complexity. 26(4). 375–405. 11 indexed citations
18.
Song, Guohui & Yuesheng Xu. (2009). Approximation of kernel matrices by circulant matrices and its application in kernel selection methods. Frontiers of Mathematics in China. 5(1). 123–160. 3 indexed citations
19.
Song, Guohui, et al.. (2008). Engineering design optimization based on intelligent response surface methodology. Journal of Shanghai Jiaotong University (Science). 13(3). 285–290.
20.
Song, Guohui, et al.. (1995). Second Order Nonlinear Evolution Equations in Banach Spaces. Journal of Mathematical Analysis and Applications. 194(1). 1–13. 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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