Jianjun Wang

1.8k total citations · 1 hit paper
100 papers, 1.3k citations indexed

About

Jianjun Wang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computational Mathematics. According to data from OpenAlex, Jianjun Wang has authored 100 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computational Mechanics, 43 papers in Computer Vision and Pattern Recognition and 23 papers in Computational Mathematics. Recurrent topics in Jianjun Wang's work include Sparse and Compressive Sensing Techniques (65 papers), Image and Signal Denoising Methods (35 papers) and Tensor decomposition and applications (23 papers). Jianjun Wang is often cited by papers focused on Sparse and Compressive Sensing Techniques (65 papers), Image and Signal Denoising Methods (35 papers) and Tensor decomposition and applications (23 papers). Jianjun Wang collaborates with scholars based in China, Macao and Australia. Jianjun Wang's co-authors include Wendong Wang, Hailin Wang, Yao Wang, Feng Zhang, Deyu Meng, Timothy J. Ebner, Jong H. Kim, Jiangjun Peng, Jin You-hai and Zongben Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bioresource Technology.

In The Last Decade

Jianjun Wang

85 papers receiving 1.2k citations

Hit Papers

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
    2023 79 citations Hailin Wang, Jiangjun Peng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianjun Wang China 18 738 417 274 192 186 100 1.3k
Shankar Rao United States 8 618 0.8× 967 2.3× 55 0.2× 113 0.6× 62 0.3× 13 1.4k
Yi Chang China 26 368 0.5× 1.7k 4.1× 75 0.3× 149 0.8× 215 1.2× 68 2.5k
Liang-Jian Deng China 34 466 0.6× 2.6k 6.3× 211 0.8× 368 1.9× 129 0.7× 156 3.8k
Huibin Li China 16 558 0.8× 971 2.3× 20 0.1× 436 2.3× 133 0.7× 50 1.9k
Yongqiang Zhao China 34 598 0.8× 2.3k 5.5× 232 0.8× 592 3.1× 158 0.8× 167 3.8k
Qiu‐Hua Lin China 16 90 0.1× 176 0.4× 201 0.7× 126 0.7× 209 1.1× 64 1.2k
Chia-Hsiang Lin Taiwan 19 206 0.3× 362 0.9× 25 0.1× 175 0.9× 468 2.5× 88 1.5k
Yuhui Quan China 27 281 0.4× 1.7k 4.0× 31 0.1× 197 1.0× 62 0.3× 88 2.1k
Laurent Albera France 24 200 0.3× 84 0.2× 192 0.7× 119 0.6× 155 0.8× 74 1.8k
Jianwei Zheng China 17 183 0.2× 632 1.5× 48 0.2× 66 0.3× 23 0.1× 75 1.5k

Countries citing papers authored by Jianjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianjun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianjun Wang. A scholar is included among the top collaborators of Jianjun Wang 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 Jianjun Wang. Jianjun Wang 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.
Wang, Hailin, Feng Zhang, Jianjun Wang, et al.. (2025). Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–21.
2.
3.
Cheng, Jie, et al.. (2025). Research on the IWF characteristics of LFR under normal operation and blockage conditions. Nuclear Engineering and Design. 445. 114481–114481.
4.
Li, Xinling, Shihua Fu, Jianjun Wang, & Fengxia Zhang. (2025). Self-triggered control for the convergence of n -person random evolutionary games. Communications in Nonlinear Science and Numerical Simulation. 152. 109293–109293.
5.
Cheng, Jie, et al.. (2024). Numerical investigation of flow and heat transfer characteristics of special-shaped fuel. International Communications in Heat and Mass Transfer. 156. 107691–107691. 3 indexed citations
6.
Wang, Hailin, et al.. (2024). Tensor Ring Decomposition-Based Generalized and Efficient Nonconvex Approach for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 3 indexed citations
7.
Wang, Hailin, et al.. (2024). Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation. IEEE Transactions on Image Processing. 33. 2835–2850. 11 indexed citations
8.
Feng, Qingrong, et al.. (2024). Poisson image deblurring with frame-based nonconvex regularization. Applied Mathematical Modelling. 132. 109–128.
9.
Wu, Di, et al.. (2023). Optimal design and analysis of lubricating oil system in marine nuclear power based on adaptive genetic algorithm. Progress in Nuclear Energy. 166. 104937–104937. 2 indexed citations
10.
Hou, Jingyao, et al.. (2023). Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8879–8887. 11 indexed citations
11.
Chen, Ge, et al.. (2023). Fluorescence microscopy images denoising via deep convolutional sparse coding. Signal Processing Image Communication. 117. 117003–117003. 2 indexed citations
12.
Wang, Hailin, et al.. (2022). Low-Rank High-Order Tensor Completion With Applications in Visual Data. IEEE Transactions on Image Processing. 31. 2433–2448. 81 indexed citations
13.
Wang, Zhi, Yu Liu, Xin Luo, et al.. (2021). Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4661–4675. 22 indexed citations
14.
Wang, Zhi, et al.. (2021). Performance guarantees of transformed Schatten-1 regularization for exact low-rank matrix recovery. International Journal of Machine Learning and Cybernetics. 12(12). 3379–3395. 10 indexed citations
15.
Wang, Hailin, et al.. (2021). Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3305–3319. 64 indexed citations
16.
Wang, Zhi, et al.. (2020). Accelerated inexact matrix completion algorithm via closed-form q-thresholding $$(q = 1/2, 2/3)$$ operator. International Journal of Machine Learning and Cybernetics. 11(10). 2327–2339. 11 indexed citations
17.
Wang, Wendong, Feng Zhang, Zhi Wang, & Jianjun Wang. (2019). Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond. IEEE Access. 7. 173216–173229. 6 indexed citations
18.
Wang, Zhi, Jianjun Wang, Wendong Wang, Chao Gao, & Siqi Chen. (2018). A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov’s Rule. IEEE Access. 6. 58119–58131. 6 indexed citations
19.
Yuan, Jianjun & Jianjun Wang. (2018). Compressive sensing based on L1 and Hessian regularizations for MRI denoising. Magnetic Resonance Imaging. 51. 79–86. 5 indexed citations
20.
Wang, Jianjun, et al.. (2013). Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator. SHILAP Revista de lepidopterología. 2013. 1–6. 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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