Jinshan Zeng

2.9k total citations · 1 hit paper
72 papers, 1.7k citations indexed

About

Jinshan Zeng is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jinshan Zeng has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 28 papers in Computer Vision and Pattern Recognition and 23 papers in Artificial Intelligence. Recurrent topics in Jinshan Zeng's work include Sparse and Compressive Sensing Techniques (28 papers), Image and Signal Denoising Methods (15 papers) and Advanced Optimization Algorithms Research (10 papers). Jinshan Zeng is often cited by papers focused on Sparse and Compressive Sensing Techniques (28 papers), Image and Signal Denoising Methods (15 papers) and Advanced Optimization Algorithms Research (10 papers). Jinshan Zeng collaborates with scholars based in China, United States and Hong Kong. Jinshan Zeng's co-authors include Wotao Yin, Yu Wang, Yong Chen, Zongben Xu, Wei He, Shao-Bo Lin, Xi-Le Zhao, Ting‐Zhu Huang, Sichen Li and Jian Fang 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 Signal Processing.

In The Last Decade

Jinshan Zeng

64 papers receiving 1.6k citations

Hit Papers

Global Convergence of ADMM in Nonconvex Nonsmooth Optimiz... 2018 2026 2020 2023 2018 200 400 600
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.

  1. Global Convergence of ADMM in Nonconvex Nonsmooth Optimization
    2018 700 citations Jinshan Zeng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinshan Zeng China 18 608 574 372 281 221 72 1.7k
Sangwoon Yun South Korea 20 1.1k 1.9× 819 1.4× 478 1.3× 175 0.6× 253 1.1× 61 2.3k
Wei Bian China 25 502 0.8× 917 1.6× 709 1.9× 138 0.5× 133 0.6× 100 2.0k
Kejun Huang United States 18 680 1.1× 459 0.8× 396 1.1× 172 0.6× 169 0.8× 53 2.1k
P. Tseng United States 12 712 1.2× 576 1.0× 592 1.6× 137 0.5× 197 0.9× 15 2.3k
Yangyang Xu United States 18 1.4k 2.3× 793 1.4× 506 1.4× 114 0.4× 206 0.9× 72 2.5k
B. K. Natarajan United States 17 1.2k 2.0× 1.1k 1.8× 491 1.3× 156 0.6× 281 1.3× 41 2.8k
Laurent Condat France 16 738 1.2× 915 1.6× 194 0.5× 537 1.9× 70 0.3× 57 1.9k
Chien‐Cheng Tseng Taiwan 29 709 1.2× 847 1.5× 412 1.1× 108 0.4× 261 1.2× 204 3.0k
Ming Yan United States 19 571 0.9× 301 0.5× 220 0.6× 56 0.2× 232 1.0× 86 1.3k
H. Hindi United States 14 691 1.1× 350 0.6× 205 0.6× 58 0.2× 241 1.1× 49 2.0k

Countries citing papers authored by Jinshan Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Jinshan Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinshan Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Jinshan Zeng. A scholar is included among the top collaborators of Jinshan Zeng 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 Jinshan Zeng. Jinshan Zeng 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.
Zeng, Jinshan. (2025). Application of GBDT Integrated Algorithm in Financial Data Security Risk Prediction. Procedia Computer Science. 261. 430–439. 1 indexed citations
2.
Huang, Qing, et al.. (2024). Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code. ACM Transactions on Software Engineering and Methodology. 33(7). 1–29.
3.
Chen, Yong, et al.. (2024). Unidirectional Spatial and Spectral Smoothed Tensor Ring Decomposition for Hyperspectral Image Denoising and Destriping. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
4.
Huang, Qing, et al.. (2024). GuessGas: Tell Me Fine-Grained Gas Consumption of My Smart Contract and Why. IEEE Transactions on Reliability. 74(1). 2348–2362.
5.
Chen, Yong, et al.. (2024). Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 32 indexed citations
6.
Ma, Ke, Qianqian Xu, Jinshan Zeng, et al.. (2024). Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9353–9370. 4 indexed citations
7.
Chen, Yong, Jinshan Zeng, Wei He, et al.. (2024). Fast Large-Scale Hyperspectral Image Denoising via Noniterative Low-Rank Subspace Representation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 13 indexed citations
8.
Wang, Yefei, et al.. (2024). EdgeFont: Enhancing style and content representations in few-shot font generation with multi-scale edge self-supervision. Expert Systems with Applications. 262. 125547–125547. 1 indexed citations
9.
Chen, Yong, et al.. (2023). A guidable nonlocal low-rank approximation model for hyperspectral image denoising. Signal Processing. 215. 109266–109266. 12 indexed citations
10.
Xu, Quanqing, et al.. (2023). F3KM: Federated, Fair, and Fast k-means. Proceedings of the ACM on Management of Data. 1(4). 1–25. 2 indexed citations
11.
Chen, Yong, et al.. (2023). Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16396–16408. 29 indexed citations
12.
Chen, Yong, Wei He, Xi-Le Zhao, et al.. (2022). Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 24 indexed citations
13.
Chen, Yong, Ting‐Zhu Huang, Wei He, et al.. (2021). Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 71 indexed citations
14.
Chen, Yong, Jinshan Zeng, Wei He, Xi-Le Zhao, & Ting‐Zhu Huang. (2021). Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 66 indexed citations
15.
Ma, Ke, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, & Qingming Huang. (2021). Poisoning Attack Against Estimating From Pairwise Comparisons. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6393–6408. 17 indexed citations
16.
Zeng, Jinshan, Shao-Bo Lin, Yuan Yao, & Ding‐Xuan Zhou. (2021). On ADMM in Deep Learning: Convergence and Saturation-Avoidance. Journal of Machine Learning Research. 22(199). 1–67. 5 indexed citations
17.
Fu, Yanwei, et al.. (2019). Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.. arXiv (Cornell University). 1 indexed citations
18.
Zeng, Jinshan, et al.. (2018). Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees.. arXiv (Cornell University). 1 indexed citations
19.
Ma, Ke, Jinshan Zeng, Jiechao Xiong, et al.. (2018). Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 14 indexed citations
20.
Zeng, Jinshan & Sichen Li. (2009). An Ekeland’s variational principle for set-valued mappings with applications. Journal of Computational and Applied Mathematics. 230(2). 477–484. 14 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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