Chong Peng

2.5k total citations · 1 hit paper
52 papers, 1.8k citations indexed

About

Chong Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Chong Peng has authored 52 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 15 papers in Computational Mechanics. Recurrent topics in Chong Peng's work include Face and Expression Recognition (21 papers), Sparse and Compressive Sensing Techniques (15 papers) and Visual Attention and Saliency Detection (10 papers). Chong Peng is often cited by papers focused on Face and Expression Recognition (21 papers), Sparse and Compressive Sensing Techniques (15 papers) and Visual Attention and Saliency Detection (10 papers). Chong Peng collaborates with scholars based in China, United States and Macao. Chong Peng's co-authors include Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng, Zenglin Xu, Hong Qin, Yicong Zhou, Xi Peng, Wenyu Chen and Yongli Wang and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Chong Peng

47 papers receiving 1.8k citations

Hit Papers

Low-Rank Tensor Graph Learning for Multi-View Subspace Cl... 2021 2026 2022 2024 2021 50 100 150

Peers

Chong Peng
Kun Zhan China
Wei Xia China
Dacheng Tao Australia
Dacheng Tao United Kingdom
Kun Zhan China
Chong Peng
Citations per year, relative to Chong Peng Chong Peng (= 1×) peers Kun Zhan

Countries citing papers authored by Chong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Chong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Peng. A scholar is included among the top collaborators of Chong 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 Chong Peng. Chong Peng 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.
Liao, Xiaobin, Xiaoqian Wang, Qi Zhang, et al.. (2025). Tin Substitution Stabilizes 2D Perovskite Epitaxial Heterostructures for High‐Mobility, Hysteresis‐Free Field‐Effect Transistors. Advanced Functional Materials. 36(6).
3.
Zhang, Qi, Xiaoqian Wang, Jiazhen He, et al.. (2025). Enhanced Stability and Luminescence Efficiency of CsPbBr3 PQDs via In Situ Growth and SiO2 Encapsulation in Surface‐Functionalized Mesoporous Silica Nanospheres. Small. 21(21). e2412581–e2412581. 4 indexed citations
4.
Chen, Yongyong, et al.. (2024). Enhancing Inter-Class Separability With High-Order Strangers for Multi-View Clustering. IEEE Signal Processing Letters. 31. 2460–2464.
5.
Peng, Chong, Pengfei Zhang, Yongyong Chen, et al.. (2024). Fine-Grained Bipartite Concept Factorization for Clustering. 26254–26264. 4 indexed citations
6.
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
7.
Chen, Chenglizhao, et al.. (2023). Essential Low-Rank Sample Learning for Group-Aware Subspace Clustering. IEEE Signal Processing Letters. 30. 1537–1541. 3 indexed citations
8.
Su, Siyu, Youchao Sun, Chong Peng, & Yifan Wang. (2023). Aircraft Bleed Air System Fault Prediction based on Encoder-Decoder with Attention Mechanism. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 25(3). 3 indexed citations
9.
Chen, Chenglizhao, et al.. (2023). Video Saliency Object Detection with Motion Quality Compensation. Electronics. 12(7). 1618–1618. 2 indexed citations
10.
Li, Tingting, Yichao Li, Hao Wu, et al.. (2023). Extracellular cell matrix stiffness-driven drug resistance of breast cancer cells via EGFR activation. PubMed. 1(2). 100023–100023. 4 indexed citations
11.
Peng, Chong, Yiqun Zhang, Yongyong Chen, et al.. (2022). Log-based sparse nonnegative matrix factorization for data representation. Knowledge-Based Systems. 251. 109127–109127. 33 indexed citations
12.
Peng, Chong, Jing Zhang, Yongyong Chen, et al.. (2022). Preserving bilateral view structural information for subspace clustering. Knowledge-Based Systems. 258. 109915–109915. 6 indexed citations
13.
Peng, Chong, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, & Qiang Cheng. (2022). Two-dimensional semi-nonnegative matrix factorization for clustering. Information Sciences. 590. 106–141. 18 indexed citations
14.
Peng, Chong, Yang Liu, Zhao Kang, et al.. (2021). Learning discriminative representation for image classification. Knowledge-Based Systems. 233. 107517–107517. 3 indexed citations
15.
Wu, Xinxing, Chong Peng, Peter T. Nelson, & Qiang Cheng. (2021). Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expression. PLoS ONE. 16(9). e0256648–e0256648. 8 indexed citations
16.
Chen, Chenglizhao, et al.. (2021). Full-reference Screen Content Image Quality Assessment by Fusing Multilevel Structure Similarity. ACM Transactions on Multimedia Computing Communications and Applications. 17(3). 1–21. 15 indexed citations
17.
Kang, Zhao, Xiao Lu, Yiwei Lu, et al.. (2020). Structure learning with similarity preserving. Neural Networks. 129. 138–148. 33 indexed citations
18.
Peng, Chong, Qian Zhang, Zhao Kang, Chenglizhao Chen, & Qiang Cheng. (2020). Kernel two-dimensional ridge regression for subspace clustering. Pattern Recognition. 113. 107749–107749. 34 indexed citations
19.
Kang, Zhao, Chong Peng, Hongyuan Zhu, et al.. (2019). Partition level multiview subspace clustering. Neural Networks. 122. 279–288. 209 indexed citations
20.
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

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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