Jian-Li Wang

807 total citations · 1 hit paper
24 papers, 573 citations indexed

About

Jian-Li Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Jian-Li Wang has authored 24 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 6 papers in Media Technology. Recurrent topics in Jian-Li Wang's work include Image and Signal Denoising Methods (11 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Image Processing Techniques (5 papers). Jian-Li Wang is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Image Processing Techniques (5 papers). Jian-Li Wang collaborates with scholars based in China, United States and Hong Kong. Jian-Li Wang's co-authors include Xi-Le Zhao, Ting‐Zhu Huang, Yu‐Bang Zheng, Wei-Hao Wu, Tai-Xiang Jiang, Paul J. Eslinger, Yong Chen, Michael K. Ng, Tian-Hui Ma and Qing X. Yang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Jian-Li Wang

20 papers receiving 567 citations

Hit Papers

Hyperspectral Image Denoising via Tensor Low-Rank Prior a... 2022 2026 2023 2024 2022 100 200 300
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. Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior
    2022 309 citations Wei-Hao Wu, Ting‐Zhu Huang et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Jian-Li Wang
Maria Petrou United Kingdom
Guoqing Zhang China
Alamin Mansouri France
Honghui Xu China
Kidiyo Kpalma France
Qingshan Liu China
Xiaojie Zhao China
Jing Hu China
Shigang Wang China
Maria Petrou United Kingdom
Jian-Li Wang
Citations per year, relative to Jian-Li Wang Jian-Li Wang (= 1×) peers Maria Petrou

Countries citing papers authored by Jian-Li Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jian-Li Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian-Li Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian-Li Wang. A scholar is included among the top collaborators of Jian-Li 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 Jian-Li Wang. Jian-Li 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.
Li, Heng-Chao, et al.. (2025). Multimodal Quaternion Representation Network for Multisource Remote Sensing Data Classification. IEEE Transactions on Neural Networks and Learning Systems. 37(2). 711–725.
2.
Zhao, Xi-Le, et al.. (2025). Frequency-Aware Implicit Neural Representation for Multi-Dimensional Data Recovery. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 10862–10874.
3.
Zhao, Xi-Le, et al.. (2024). Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior. IEEE Transactions on Computational Imaging. 10. 93–102.
4.
Wu, Wei-Hao, et al.. (2023). Untrained Low-Rank Neural Network Prior for Multi-Dimensional Image Recovery. IEEE Signal Processing Letters. 30. 1647–1651. 5 indexed citations
5.
Wang, Jian-Li, et al.. (2023). Unsupervised Domain Factorization Network for Thick Cloud Removal of Multitemporal Remotely Sensed Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 11 indexed citations
6.
Zhao, Xi-Le, et al.. (2023). H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization. IEEE Geoscience and Remote Sensing Letters. 20. 1–5.
7.
Tang, Xiaole, et al.. (2023). Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior. 9883–9892. 13 indexed citations
8.
Wang, Jian-Li, et al.. (2022). Complex Video Completion Fusing Low-Rank Background and Deep Foreground Priors. IEEE Signal Processing Letters. 29. 2737–2741. 2 indexed citations
9.
Wu, Wei-Hao, Ting‐Zhu Huang, Xi-Le Zhao, Jian-Li Wang, & Yu‐Bang Zheng. (2022). Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 309 indexed citations breakdown →
10.
Wang, Jian-Li, et al.. (2022). CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 8969–8983. 13 indexed citations
11.
Wang, Jian-Li, Ting‐Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, & Michael K. Ng. (2021). Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform. IEEE Transactions on Image Processing. 30. 3581–3596. 41 indexed citations
12.
Zhao, Xi-Le, et al.. (2021). Tensor Completion Via Collaborative Sparse and Low-Rank Transforms. IEEE Transactions on Computational Imaging. 7. 1289–1303. 20 indexed citations
13.
Wang, Jian-Li, Ting‐Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, & Tai-Xiang Jiang. (2021). Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior. 4119–4122. 1 indexed citations
14.
Wang, Jian-Li, Ting‐Zhu Huang, Xi-Le Zhao, et al.. (2019). Reweighted Block Sparsity Regularization for Remote Sensing Images Destriping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(12). 4951–4963. 21 indexed citations
15.
Wang, Jian-Li, et al.. (2012). Data Filtering of Two-dimensional Point Cloud in Forest Measurement Based on Difference Calculation. Xibei Linxueyuan xuebao. 27(3). 193–196. 1 indexed citations
16.
Wang, Jian-Li, et al.. (2012). A new spectrum sensing method for OFDM-based cognitive radios. 57. 812–815. 3 indexed citations
17.
Biddle, Kathleen R., et al.. (2009). Cerebral plasticity and recovery of function after childhood prefrontal cortex damage. Developmental Neurorehabilitation. 12(5). 298–312. 9 indexed citations
18.
Eslinger, Paul J., et al.. (2009). Functional MRI Evidence for Distinctive Binding and Consolidation Pathways for Face-Name Associations. Topics in Magnetic Resonance Imaging. 20(5). 271–278. 9 indexed citations
19.
Eslinger, Paul J., Clancy Blair, Jian-Li Wang, et al.. (2008). Developmental shifts in fMRI activations during visuospatial relational reasoning. Brain and Cognition. 69(1). 1–10. 49 indexed citations
20.
Zhao, Ming, et al.. (2008). Research on Application of Improved Text Cluster Algorithm in Intelligent QA System. 463–466. 2 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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