Wei-Hao Wu

474 total citations · 1 hit paper
11 papers, 336 citations indexed

About

Wei-Hao Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics. According to data from OpenAlex, Wei-Hao Wu has authored 11 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Computational Mathematics. Recurrent topics in Wei-Hao Wu's work include Image and Signal Denoising Methods (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Tensor decomposition and applications (4 papers). Wei-Hao Wu is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Tensor decomposition and applications (4 papers). Wei-Hao Wu collaborates with scholars based in China. Wei-Hao Wu's co-authors include Xi-Le Zhao, Ting‐Zhu Huang, Jian-Li Wang, Yu‐Bang Zheng, Jie Lin, Jiehao Li, Chao Yi, Ting Tang, Weibin Wu and Yang Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Wei-Hao Wu

8 papers receiving 332 citations

Hit Papers

align trajectories

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.

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 — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei-Hao Wu China	5	143	91	60	43	41	11	336
Yifei Liu China	2	82 0.6×	55 0.6×	56 0.9×	44 1.0×	25 0.6×	7	244
Yongmei Jiang China	9	118 0.8×	78 0.9×	93 1.6×	48 1.1×	40 1.0×	34	319
Dennis Chao Canada	5	154 1.1×	98 1.1×	51 0.8×	39 0.9×	69 1.7×	5	296
Xiongwu Xiao China	12	133 0.9×	81 0.9×	101 1.7×	95 2.2×	54 1.3×	54	463
Luca Cicala Italy	10	67 0.5×	59 0.6×	85 1.4×	61 1.4×	36 0.9×	31	293
Zezhong Zheng China	10	141 1.0×	113 1.2×	68 1.1×	72 1.7×	100 2.4×	80	420
Reza Bahmanyar Germany	10	138 1.0×	122 1.3×	47 0.8×	65 1.5×	30 0.7×	29	288
Yuxuan Li China	5	175 1.2×	198 2.2×	51 0.8×	48 1.1×	27 0.7×	12	443
Haiqing He China	12	124 0.9×	77 0.8×	127 2.1×	91 2.1×	34 0.8×	40	359

Countries citing papers authored by Wei-Hao Wu

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Hao Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Hao Wu. 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 Wei-Hao Wu. The network helps show where Wei-Hao Wu may publish in the future.

Co-authorship network of co-authors of Wei-Hao Wu

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

All Works

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11 of 11 papers shown

1.

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.

2.

Zhao, Xi-Le, et al.. (2025). An Arbitrary Mode-3 Dimensional Tensor-Tensor Product for Tensor Train Decomposition From Interaction Perspective. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 7326–7338. 1 indexed citations

3.

Su, R., et al.. (2025). Deep fully-connected tensor network decomposition for multi-dimensional signal recovery. Signal Processing. 233. 109903–109903.

4.

Zhao, Xi-Le, et al.. (2025). Continuous Tensor Representation for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.

5.

Huang, Ting‐Zhu, et al.. (2024). Nested Fully-Connected Tensor Network Decomposition for Multi-Dimensional Visual Data Recovery. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 10092–10106. 5 indexed citations

6.

Wu, Wei-Hao, et al.. (2024). Nonlinear Hierarchical Matrix Factorization-Based Tensor Ring Approximation for Multi-dimensional Image Recovery. Journal of Scientific Computing. 101(2). 1 indexed citations

7.

Huang, Ting‐Zhu, et al.. (2024). Deep Domain Fidelity and Low-Rank Tensor Ring Regularization for Thick Cloud Removal of Multitemporal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 4 indexed citations

8.

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

9.

Tang, Ting, et al.. (2023). Hyperspectral Prediction Model of Nitrogen Content in Citrus Leaves Based on the CEEMDAN–SR Algorithm. Remote Sensing. 15(20). 5013–5013. 7 indexed citations

10.

Yi, Chao, et al.. (2023). Research on Fruit Recognition Method Based on Improved YOLOv4 Algorithm. 1892–1901. 4 indexed citations

11.

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 →

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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