Yongyong Chen

4.1k total citations · 2 hit papers
134 papers, 3.0k citations indexed

About

Yongyong Chen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yongyong Chen has authored 134 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Computer Vision and Pattern Recognition, 54 papers in Computational Mechanics and 27 papers in Artificial Intelligence. Recurrent topics in Yongyong Chen's work include Sparse and Compressive Sensing Techniques (53 papers), Face and Expression Recognition (43 papers) and Image and Signal Denoising Methods (26 papers). Yongyong Chen is often cited by papers focused on Sparse and Compressive Sensing Techniques (53 papers), Face and Expression Recognition (43 papers) and Image and Signal Denoising Methods (26 papers). Yongyong Chen collaborates with scholars based in China, Macao and United States. Yongyong Chen's co-authors include Yicong Zhou, Zhongyun Hua, Xiaolin Xiao, Chong Peng, Shuqin Wang, Yuanman Li, Guoping He, Yongli Wang, Jiaxin Li and Shuang Yi and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Yongyong Chen

124 papers receiving 3.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Color image encryption using orthogonal Latin squares and a new 2D chaotic system

2021 241 citations Yongyong Chen et al. profile →
Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering

2021 156 citations Yongyong Chen, Xiaolin Xiao et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongyong Chen China	28	2.1k	775	674	566	312	134	3.0k
Fanhua Shang China	26	1.2k 0.6×	741 1.0×	744 1.1×	349 0.6×	296 0.9×	99	2.1k
Canyi Lu China	21	2.3k 1.1×	835 1.1×	1.7k 2.5×	659 1.2×	986 3.2×	33	3.8k
Ehsan Elhamifar United States	20	3.2k 1.5×	1.7k 2.2×	1.2k 1.8×	1.1k 1.9×	109 0.3×	50	4.4k
Zhihui Lai China	35	2.4k 1.2×	942 1.2×	788 1.2×	667 1.2×	102 0.3×	130	3.4k
Quanxue Gao China	32	2.4k 1.2×	1.7k 2.1×	322 0.5×	495 0.9×	252 0.8×	139	3.4k
Quansen Sun China	37	3.8k 1.8×	1.3k 1.7×	298 0.4×	1.2k 2.1×	83 0.3×	266	5.0k
Rafał Zdunek Poland	18	807 0.4×	580 0.7×	757 1.1×	246 0.4×	788 2.5×	67	3.1k
Ning Hao China	18	960 0.5×	384 0.5×	1.1k 1.6×	168 0.3×	1.1k 3.6×	93	2.9k
Nicolas Gillis Belgium	23	668 0.3×	316 0.4×	588 0.9×	614 1.1×	171 0.5×	100	1.9k
Xiao Fu United States	25	681 0.3×	701 0.9×	882 1.3×	461 0.8×	1.0k 3.2×	130	3.7k

Countries citing papers authored by Yongyong Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yongyong Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongyong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yongyong Chen. A scholar is included among the top collaborators of Yongyong Chen 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 Yongyong Chen. Yongyong Chen 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

Meng, L., et al.. (2025). When non-local similarity meets tensor factorization: A patch-wise method for hyperspectral anomaly detection. Signal Processing. 230. 109875–109875.

Zhao, Yin‐Ping, et al.. (2025). Dual Tensor Low-Rank Representation for Subspace Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 37–50. 1 indexed citations

Chen, Yongyong, et al.. (2025). Reliable Entropy-Induced Anchor Learning for Incomplete Multi-View Subspace Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 35(6). 5293–5306. 4 indexed citations

Li, Mingxu, Yongyong Chen, Qiang Liu, et al.. (2024). Influence of biomass fly ash on durability of self-consolidating cement-tailings grout: Resistance to freeze-thaw cycles and sulfate attack. Journal of Building Engineering. 93. 109842–109842. 9 indexed citations

Jin, Jiaxu, Yongyong Chen, Mingxu Li, et al.. (2024). Preparation of self-consolidating cemented backfill with tailings and alkali activated slurry: Performance evaluation and environmental impact. Construction and Building Materials. 438. 137088–137088. 14 indexed citations

Fu, Lele, et al.. (2024). Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1728–1742. 1 indexed citations

Zhao, Yin‐Ping, Yin‐Ping Zhao, Xiangfeng Dai, et al.. (2024). Bilevel fuzzy clustering via adaptive similarity graphs fusion. Information Sciences. 662. 120281–120281. 1 indexed citations

Li, Bo, et al.. (2024). DFINet: Dual-Way Feature Interaction Network for Long-Term Series Forecasting. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 1 indexed citations

Chen, Yongyong, et al.. (2024). Pick-and-Place Transform Learning for Fast Multi-View Clustering. IEEE Transactions on Image Processing. 33. 1272–1284. 12 indexed citations

10.

Wang, Hanzhang, et al.. (2024). $\mathrm{D}^{3}$T: Deep Denoising Dictionary Tensor for Hyperspectral Anomaly Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 3713–3727. 1 indexed citations

11.

Deng, Yingying, Fan Tang, Weiming Dong, et al.. (2023). Exploring the Temporal Consistency of Arbitrary Style Transfer: A Channelwise Perspective. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8482–8496. 21 indexed citations

12.

Zhao, Yin‐Ping, et al.. (2023). Hyperspectral Anomaly Detection via Structured Sparsity Plus Enhanced Low-Rankness. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 15 indexed citations

13.

Zhao, Yin‐Ping, et al.. (2023). Bilevel Fuzzy Clustering Via Adaptive Similarity Graphs Fusion. SSRN Electronic Journal. 1 indexed citations

14.

Peng, Chong, et al.. (2023). Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. Knowledge-Based Systems. 279. 110946–110946. 9 indexed citations

15.

Fu, Lele, Zhaoliang Chen, Yongyong Chen, & Shiping Wang. (2022). Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering. IEEE Transactions on Multimedia. 25. 4972–4985. 40 indexed citations

16.

Peng, Chong, Yang Liu, Zhao Kang, et al.. (2021). Learning discriminative representation for image classification. Knowledge-Based Systems. 233. 107517–107517. 3 indexed citations

17.

Chen, Yongyong, Xiaolin Xiao, & Yicong Zhou. (2019). Jointly Learning Kernel Representation Tensor and Affinity Matrix for Multi-View Clustering. IEEE Transactions on Multimedia. 22(8). 1985–1997. 108 indexed citations

18.

Chen, Yongyong, Yongli Wang, Mingqiang Li, & Guoping He. (2017). Augmented Lagrangian alternating direction method for low-rank minimization via non-convex approximation. Signal Image and Video Processing. 11(7). 1271–1278. 27 indexed citations

19.

Chen, Yongyong, et al.. (2017). Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization. IEEE Geoscience and Remote Sensing Letters. 14(7). 1141–1145. 28 indexed citations

20.

Jia, Pu, Shixiang Wang, Chaoni Xiao, et al.. (2015). The anti-atherosclerotic effect of tanshinol borneol ester using fecal metabolomics based on liquid chromatography-mass spectrometry. The Analyst. 141(3). 1112–1120. 27 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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