Jiangjun Peng

1.4k total citations · 2 hit papers
29 papers, 960 citations indexed

About

Jiangjun Peng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Jiangjun Peng has authored 29 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 13 papers in Computational Mechanics. Recurrent topics in Jiangjun Peng's work include Image and Signal Denoising Methods (19 papers), Sparse and Compressive Sensing Techniques (13 papers) and Advanced Image Fusion Techniques (11 papers). Jiangjun Peng is often cited by papers focused on Image and Signal Denoising Methods (19 papers), Sparse and Compressive Sensing Techniques (13 papers) and Advanced Image Fusion Techniques (11 papers). Jiangjun Peng collaborates with scholars based in China, Macao and Hong Kong. Jiangjun Peng's co-authors include Deyu Meng, Yee Leung, Yao Wang, Qian Zhao, Xi-Le Zhao, Hailin Wang, Jianjun Wang, Qi Xie, Xiangyong Cao and Hongying Zhang and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jiangjun Peng

24 papers receiving 943 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 Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

2017 343 citations Yao Wang, Jiangjun Peng et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness

2023 79 citations Hailin Wang, Jiangjun Peng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiangjun Peng China	13	629	508	334	133	101	29	960
Xiongjun Zhang China	16	417 0.7×	76 0.1×	530 1.6×	444 3.3×	37 0.4×	50	811
Teng-Yu Ji China	13	642 1.0×	280 0.6×	614 1.8×	461 3.5×	28 0.3×	29	991
Chengda Yang United States	3	413 0.7×	159 0.3×	283 0.8×	13 0.1×	14 0.1×	3	671
Yongli Wang China	13	277 0.4×	178 0.4×	210 0.6×	35 0.3×	52 0.5×	41	549
Qibin Zhao Japan	6	156 0.2×	31 0.1×	229 0.7×	481 3.6×	55 0.5×	9	672
Rastislav Lukàč Canada	18	1.3k 2.1×	580 1.1×	86 0.3×	2 0.0×	24 0.2×	60	1.5k
Qiuwei Li United States	11	113 0.2×	15 0.0×	288 0.9×	34 0.3×	48 0.5×	47	461
Huiqian Du China	15	417 0.7×	298 0.6×	143 0.4×	19 0.1×	10 0.1×	59	647
Martin Welk Germany	11	319 0.5×	67 0.1×	138 0.4×	14 0.1×	37 0.4×	32	496
Caroline Chaux France	10	264 0.4×	98 0.2×	124 0.4×	12 0.1×	8 0.1×	27	390

Countries citing papers authored by Jiangjun Peng

Since Specialization

Citations

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

Fields of papers citing papers by Jiangjun Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangjun Peng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Shuang, Zixiang Zhao, Xiangyong Cao, et al.. (2025). Parameterized Low-Rank Regularizer for High-dimensional Visual Data. International Journal of Computer Vision. 133(12). 8546–8569. 1 indexed citations

Peng, Jiangjun, et al.. (2025). Hyperspectral Image Denoising via Low-Rank Tucker Decomposition with Subspace Implicit Neural Representation. Remote Sensing. 17(16). 2867–2867.

Peng, Jiangjun, et al.. (2024). Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. Signal Processing. 227. 109706–109706. 1 indexed citations

Shu, Hao, Hailin Wang, Jiangjun Peng, & Deyu Meng. (2024). Low-Rank Tensor Completion With 3-D Spatiotemporal Transform for Traffic Data Imputation. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18673–18687. 8 indexed citations

Xu, Shuang, Qiao Ke, Jiangjun Peng, Xiangyong Cao, & Zixiang Zhao. (2024). Pan-Denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 12 indexed citations

Wang, Hailin, et al.. (2024). Hyperspectral image restoration via RPCA model based on spectral-spatial correlated total variation regularizer. Neurocomputing. 619. 128885–128885. 1 indexed citations

Xu, Shuang, et al.. (2024). Stacked Tucker Decomposition With Multi-Nonlinear Products for Remote Sensing Imagery Inpainting. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 4 indexed citations

Liu, Pei, Jiangjun Peng, Hailin Wang, Danfeng Hong, & Xiangyong Cao. (2024). Infrared Small Target Detection via Joint Low Rankness and Local Smoothness Prior. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 4 indexed citations

Peng, Jiangjun, et al.. (2024). Hyperspectral Image Denoising via Double Subspace Deep Prior. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 7 indexed citations

10.

Peng, Jiangjun, Hailin Wang, Xiangyong Cao, et al.. (2024). Stable Local-Smooth Principal Component Pursuit. SIAM Journal on Imaging Sciences. 17(2). 1182–1205. 5 indexed citations

11.

Peng, Jiangjun, Hailin Wang, Xiangyong Cao, et al.. (2024). Learnable Representative Coefficient Image Denoiser for Hyperspectral Image. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 15 indexed citations

12.

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

13.

Peng, Jiangjun, et al.. (2023). Hyperspectral Anomaly Detection via Sparsity of Core Tensor Under Gradient Domain. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 13 indexed citations

14.

Xu, Shuang, Xiangyong Cao, Jiangjun Peng, et al.. (2022). Hyperspectral Image Denoising by Asymmetric Noise Modeling. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 26 indexed citations

15.

Peng, Jiangjun, Yao Wang, Hongying Zhang, Jianjun Wang, & Deyu Meng. (2022). Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–16. 62 indexed citations

16.

Zhang, Yuanke, Jiangjun Peng, Dong Zeng, et al.. (2020). Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans. IEEE Transactions on Computational Imaging. 6. 1375–1388. 8 indexed citations

17.

Peng, Jiangjun, Qi Xie, Qian Zhao, et al.. (2020). Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing. IEEE Transactions on Image Processing. 29. 7889–7903. 133 indexed citations

18.

Li, Hongjian, Jiangjun Peng, Pavel Sidorov, et al.. (2019). Classical scoring functions for docking are unable to exploit large volumes of structural and interaction data. Bioinformatics. 35(20). 3989–3995. 70 indexed citations

19.

Li, Hongjian, Jiangjun Peng, Yee Leung, et al.. (2018). The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction. Biomolecules. 8(1). 12–12. 39 indexed citations

20.

Wang, Yao, Jiangjun Peng, Qian Zhao, et al.. (2017). Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(4). 1227–1243. 343 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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