Xiongjun Zhang

1.4k total citations
50 papers, 811 citations indexed

About

Xiongjun Zhang is a scholar working on Computational Mechanics, Computational Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiongjun Zhang has authored 50 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 21 papers in Computational Mathematics and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiongjun Zhang's work include Sparse and Compressive Sensing Techniques (29 papers), Tensor decomposition and applications (21 papers) and Image and Signal Denoising Methods (15 papers). Xiongjun Zhang is often cited by papers focused on Sparse and Compressive Sensing Techniques (29 papers), Tensor decomposition and applications (21 papers) and Image and Signal Denoising Methods (15 papers). Xiongjun Zhang collaborates with scholars based in China, Hong Kong and Canada. Xiongjun Zhang's co-authors include Michael K. Ng, Minru Bai, Guang‐Jing Song, Duo Qiu, Xi-Le Zhao, Teng-Yu Ji, Qianqian Shao, Ting‐Zhu Huang, Chunfeng Cui and Guyan Ni and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.

In The Last Decade

Xiongjun Zhang

42 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiongjun Zhang China 16 530 444 417 89 77 50 811
Teng-Yu Ji China 13 614 1.2× 461 1.0× 642 1.5× 100 1.1× 67 0.9× 29 991
Longhao Yuan Japan 9 225 0.4× 255 0.6× 215 0.5× 83 0.9× 25 0.3× 14 461
Qibin Zhao Japan 6 229 0.4× 481 1.1× 156 0.4× 142 1.6× 68 0.9× 9 672
Xiaolin Xiao China 17 232 0.4× 140 0.3× 669 1.6× 32 0.4× 80 1.0× 28 917
Jiangjun Peng China 13 334 0.6× 133 0.3× 629 1.5× 64 0.7× 31 0.4× 29 960
Ke Wei China 13 488 0.9× 33 0.1× 300 0.7× 50 0.6× 217 2.8× 30 784
Kim Batselier Hong Kong 14 153 0.3× 212 0.5× 48 0.1× 38 0.4× 59 0.8× 51 457
Qiuwei Li United States 11 288 0.5× 34 0.1× 113 0.3× 19 0.2× 84 1.1× 47 461
Yannan Chen China 14 125 0.2× 347 0.8× 39 0.1× 45 0.5× 36 0.5× 40 638

Countries citing papers authored by Xiongjun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiongjun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongjun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiongjun Zhang. A scholar is included among the top collaborators of Xiongjun Zhang 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 Xiongjun Zhang. Xiongjun Zhang 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.
Qiu, Duo, et al.. (2024). Robust Tensor Completion via Dictionary Learning and Generalized Nonconvex Regularization for Visual Data Recovery. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11026–11039. 6 indexed citations
2.
Zhang, Xiongjun, Jin Wu, & Michael K. Ng. (2023). Multilinear multitask learning by transformed tensor singular value decomposition. SHILAP Revista de lepidopterología. 13. 100479–100479. 1 indexed citations
3.
Zhao, Xi-Le, et al.. (2023). A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion. SIAM Journal on Imaging Sciences. 16(3). 1370–1397. 15 indexed citations
4.
Chen, Chuan, et al.. (2023). Tensor completion via convolutional sparse coding with small samples-based training. Pattern Recognition. 141. 109624–109624. 4 indexed citations
5.
Zhao, Xi-Le, et al.. (2022). Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion. Journal of Scientific Computing. 92(3). 38 indexed citations
6.
Qiu, Duo, Minru Bai, Michael K. Ng, & Xiongjun Zhang. (2021). Nonlocal robust tensor recovery with nonconvex regularization *. Inverse Problems. 37(3). 35001–35001. 39 indexed citations
7.
Ng, Michael K., et al.. (2021). Orthogonal Nonnegative Tucker Decomposition. SIAM Journal on Scientific Computing. 43(1). B55–B81. 22 indexed citations
8.
Zhang, Xiongjun & Michael K. Ng. (2021). Low Rank Tensor Completion with Poisson Observations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 1–1. 41 indexed citations
9.
Qiu, Duo, Minru Bai, Michael K. Ng, & Xiongjun Zhang. (2021). Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization. Neurocomputing. 435. 197–215. 52 indexed citations
10.
Zhao, Xi-Le, Hao Zhang, Tai-Xiang Jiang, Michael K. Ng, & Xiongjun Zhang. (2020). Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. Neurocomputing. 413. 397–409. 13 indexed citations
11.
Wang, Zhenguo, et al.. (2019). 水冷10 Hz Yb:YAG激光放大器热管理. High Power Laser and Particle Beams. 32(1). 011010-1–011010-7.
12.
Zhang, Xiongjun & Michael K. Ng. (2019). A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion. SIAM Journal on Imaging Sciences. 12(2). 1231–1273. 40 indexed citations
14.
Qiu, Duo, Xiongjun Zhang, & Lei Zhang. (2017). Distributed Optimization Operation Strategy for Charging Stations Under Demand Response. International Journal of Emerging Electric Power Systems. 18(4). 2 indexed citations
15.
Zhang, Xiongjun, Bahram Javidi, & Michael K. Ng. (2017). Automatic regularization parameter selection by generalized cross-validation for total variational Poisson noise removal. Applied Optics. 56(9). D47–D47. 14 indexed citations
16.
Zhang, Jun, et al.. (2014). Single-pulse driven, large-aperture 2×1 array plasma-electrodes optical switch for SG-II upgrading facility. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9294. 92940N–92940N. 3 indexed citations
17.
Zhang, Xiongjun. (2010). RESEARCH SITUATION AND PROGRESS OF DAMPING MATERIALS. 1 indexed citations
18.
Zhang, Xiongjun, et al.. (2009). One-pulse driven plasma Pockels cell with DKDP crystal for repetition-rate application. Optics Express. 17(19). 17164–17164. 11 indexed citations
19.
Zhang, Xiongjun, et al.. (2007). Compact plasma Pockels cell for TIL of SGIII laser facility. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6838. 68380Y–68380Y. 2 indexed citations
20.
Wu, Dengsheng, et al.. (2005). Study of low jitter and small drift switch pulse generator. High Power Laser and Particle Beams. 17(9). 0. 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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