Tai-Xiang Jiang

2.8k total citations · 1 hit paper
56 papers, 2.1k citations indexed

About

Tai-Xiang Jiang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics. According to data from OpenAlex, Tai-Xiang Jiang has authored 56 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 23 papers in Computational Mechanics and 20 papers in Computational Mathematics. Recurrent topics in Tai-Xiang Jiang's work include Image and Signal Denoising Methods (34 papers), Sparse and Compressive Sensing Techniques (23 papers) and Tensor decomposition and applications (20 papers). Tai-Xiang Jiang is often cited by papers focused on Image and Signal Denoising Methods (34 papers), Sparse and Compressive Sensing Techniques (23 papers) and Tensor decomposition and applications (20 papers). Tai-Xiang Jiang collaborates with scholars based in China, Hong Kong and United States. Tai-Xiang Jiang's co-authors include Xi-Le Zhao, Ting‐Zhu Huang, Liang-Jian Deng, Yu‐Bang Zheng, Teng-Yu Ji, Michael K. Ng, Tian-Hui Ma, Gemine Vivone, Jocelyn Chanussot and Jinfan Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Tai-Xiang Jiang

54 papers receiving 2.0k 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.

GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution

2023 103 citations Liang-Jian Deng, Tai-Xiang Jiang et al. IEEE Transactions on Cybernetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tai-Xiang Jiang China	24	1.5k	864	697	520	147	56	2.1k
Teng-Yu Ji China	13	642 0.4×	280 0.3×	614 0.9×	461 0.9×	100 0.7×	29	991
Renwei Dian China	21	2.1k 1.4×	2.5k 2.9×	279 0.4×	91 0.2×	49 0.3×	47	3.0k
Dacheng Tao China	14	1.7k 1.1×	830 1.0×	209 0.3×	57 0.1×	42 0.3×	18	2.1k
Shankar Rao United States	8	967 0.7×	312 0.4×	618 0.9×	55 0.1×	52 0.4×	13	1.4k
Yuhui Quan China	27	1.7k 1.1×	717 0.8×	281 0.4×	31 0.1×	96 0.7×	88	2.1k
V. Caselles Spain	9	2.3k 1.6×	294 0.3×	457 0.7×	41 0.1×	99 0.7×	13	2.8k
Houzhang Fang China	22	1.1k 0.8×	901 1.0×	298 0.4×	33 0.1×	62 0.4×	49	1.7k
Ivica Kopriva Croatia	13	651 0.4×	263 0.3×	169 0.2×	58 0.1×	148 1.0×	97	1.2k
Tsung‐Han Chan Taiwan	19	569 0.4×	1.2k 1.4×	359 0.5×	24 0.0×	96 0.7×	50	1.8k
Gregory Ely United States	8	336 0.2×	70 0.1×	381 0.5×	351 0.7×	93 0.6×	19	755

Countries citing papers authored by Tai-Xiang Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Tai-Xiang Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-Xiang Jiang. 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 Tai-Xiang Jiang. The network helps show where Tai-Xiang Jiang may publish in the future.

Co-authorship network of co-authors of Tai-Xiang Jiang

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

All Works

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20 of 20 papers shown

Jiang, Tai-Xiang, et al.. (2024). Adaptive sampling with tensor leverage scores for exact low-rank third-order tensor completion. Applied Mathematical Modelling. 138. 115744–115744. 1 indexed citations

Chen, Yong, et al.. (2023). A guidable nonlocal low-rank approximation model for hyperspectral image denoising. Signal Processing. 215. 109266–109266. 12 indexed citations

Zhao, Xi-Le, et al.. (2023). Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 4 indexed citations

Jiang, Tai-Xiang, et al.. (2022). SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 215–227. 10 indexed citations

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

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

Zhao, Xi-Le, et al.. (2021). Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal. IEEE Signal Processing Letters. 28. 2147–2151. 5 indexed citations

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

Jiang, Tai-Xiang, et al.. (2021). Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion. IEEE Transactions on Neural Networks and Learning Systems. 34(2). 932–946. 49 indexed citations

10.

Zhao, Xi-Le, et al.. (2021). Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 9435–9449. 36 indexed citations

11.

Hu, Jinfan, Ting‐Zhu Huang, Liang-Jian Deng, et al.. (2021). Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7251–7265. 167 indexed citations

12.

Zhao, Xi-Le, et al.. (2021). Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery. IEEE Transactions on Cybernetics. 52(12). 13395–13410. 36 indexed citations

13.

Zhao, Xi-Le, et al.. (2020). Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network. IEEE Transactions on Neural Networks and Learning Systems. 32(8). 3664–3676. 59 indexed citations

14.

Zhao, Xi-Le, Wenhao Xu, Tai-Xiang Jiang, Yao Wang, & Michael K. Ng. (2020). Deep plug-and-play prior for low-rank tensor completion. Neurocomputing. 400. 137–149. 80 indexed citations

15.

Jiang, Tai-Xiang, Ting‐Zhu Huang, Xi-Le Zhao, & Liang-Jian Deng. (2019). Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm. Journal of Computational and Applied Mathematics. 372. 112680–112680. 88 indexed citations

16.

Zheng, Yu‐Bang, Ting‐Zhu Huang, Teng-Yu Ji, et al.. (2019). Low-rank tensor completion via smooth matrix factorization. Applied Mathematical Modelling. 70. 677–695. 56 indexed citations

17.

Zhao, Xi-Le, et al.. (2019). Low-rank tensor completion via combined non-local self-similarity and low-rank regularization. Neurocomputing. 367. 1–12. 37 indexed citations

18.

Zheng, Yu‐Bang, Ting‐Zhu Huang, Xi-Le Zhao, et al.. (2019). Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization. IEEE Transactions on Geoscience and Remote Sensing. 58(1). 734–749. 197 indexed citations

19.

Zhao, Xi-Le, et al.. (2018). A total variation and group sparsity based tensor optimization model for video rain streak removal. Signal Processing Image Communication. 73. 96–108. 21 indexed citations

20.

Jiang, Tai-Xiang, Ting‐Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, & Yao Wang. (2017). A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. 2818–2827. 120 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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