Zhenni Li

2.6k total citations
125 papers, 2.0k citations indexed

About

Zhenni Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Zhenni Li has authored 125 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 32 papers in Computational Mechanics and 28 papers in Artificial Intelligence. Recurrent topics in Zhenni Li's work include Sparse and Compressive Sensing Techniques (31 papers), Indoor and Outdoor Localization Technologies (21 papers) and Image and Signal Denoising Methods (16 papers). Zhenni Li is often cited by papers focused on Sparse and Compressive Sensing Techniques (31 papers), Indoor and Outdoor Localization Technologies (21 papers) and Image and Signal Denoising Methods (16 papers). Zhenni Li collaborates with scholars based in China, Japan and United Kingdom. Zhenni Li's co-authors include Shengli Xie, Zuyuan Yang, Naiyao Liang, Wuhui Chen, Ziwei Deng, Bo Peng, Shuxue Ding, Tian Xia, Dingzong Guo and Yujie Li and has published in prestigious journals such as Scientific Reports, Food Chemistry and IEEE Access.

In The Last Decade

Zhenni Li

115 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenni Li China 23 511 440 317 313 299 125 2.0k
Cheng Guo China 25 455 0.9× 685 1.6× 526 1.7× 487 1.6× 193 0.6× 126 1.9k
Bin Liu China 26 1.1k 2.1× 365 0.8× 116 0.4× 351 1.1× 733 2.5× 162 2.6k
Xia Yin China 20 450 0.9× 704 1.6× 115 0.4× 658 2.1× 364 1.2× 115 1.9k
Xiaofeng Liao China 39 401 0.8× 899 2.0× 412 1.3× 3.0k 9.6× 598 2.0× 164 5.0k
Bin He China 26 298 0.6× 187 0.4× 58 0.2× 241 0.8× 824 2.8× 213 2.5k
Liang Liu China 28 367 0.7× 234 0.5× 272 0.9× 652 2.1× 997 3.3× 162 3.2k
He Bai United States 31 205 0.4× 243 0.6× 46 0.1× 960 3.1× 421 1.4× 165 3.0k
Yantao Li China 28 712 1.4× 531 1.2× 350 1.1× 241 0.8× 192 0.6× 149 2.6k
Juan A. Holgado-Terriza Spain 20 166 0.3× 105 0.2× 79 0.2× 168 0.5× 169 0.6× 67 1.1k
Jinchao Chen China 26 592 1.2× 235 0.5× 261 0.8× 454 1.5× 183 0.6× 163 2.4k

Countries citing papers authored by Zhenni Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhenni Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenni Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenni Li. A scholar is included among the top collaborators of Zhenni Li 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 Zhenni Li. Zhenni Li 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.
Li, Zhenni, et al.. (2025). Deep reinforcement learning with robust augmented reward sequence prediction for improving GNSS positioning. GPS Solutions. 29(2). 4 indexed citations
2.
Huang, Jie, Zhizhong Mao, Dong Xiao, Yanhua Fu, & Zhenni Li. (2024). A novel quantitative detection method for soil organic matter content based on visible to near-infrared spectroscopy. Soil and Tillage Research. 244. 106247–106247. 7 indexed citations
3.
Li, Zhenni, Kan Xie, Shengli Xie, et al.. (2024). A Spatiotemporal Information-Driven Cross-Attention Model With Sparse Representation for GNSS NLOS Signal Classification. IEEE Internet of Things Journal. 11(19). 31892–31908. 6 indexed citations
4.
Li, Zhenni, et al.. (2024). An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments. Sensors. 24(6). 1959–1959. 2 indexed citations
5.
Chen, Xueni, et al.. (2023). Log-Regularized Dictionary-Learning-Based Reinforcement Learning Algorithm for GNSS Positioning Correction. IEEE Internet of Things Journal. 11(8). 15022–15037. 1 indexed citations
6.
Li, Zhenni, et al.. (2023). Dynamic sparse coding-based value estimation network for deep reinforcement learning. Neural Networks. 168. 180–193. 5 indexed citations
7.
8.
Li, Zhenni, et al.. (2023). Dictionary Learning-Structured Reinforcement Learning With Adaptive-Sparsity Regularizer. IEEE Transactions on Aerospace and Electronic Systems. 60(2). 1753–1769. 2 indexed citations
9.
Liang, Naiyao, et al.. (2023). A convergence algorithm for graph co-regularized transfer learning. Science China Information Sciences. 66(3). 3 indexed citations
10.
Li, Zhenni, et al.. (2022). Accelerated Partially Shared Dictionary Learning With Differentiable Scale-Invariant Sparsity for Multi-View Clustering. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 8825–8839. 13 indexed citations
11.
Li, Zhenni, et al.. (2021). Accelerated Log-Regularized Convolutional Transform Learning and Its Convergence Guarantee. IEEE Transactions on Cybernetics. 52(10). 10785–10799. 11 indexed citations
12.
Li, Zhenni, et al.. (2021). Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer. IEEE Transactions on Neural Networks and Learning Systems. 34(7). 3568–3579. 20 indexed citations
13.
Yang, Zuyuan, Naiyao Liang, Wei Yan, Zhenni Li, & Shengli Xie. (2020). Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering. IEEE Transactions on Cybernetics. 51(6). 3249–3262. 101 indexed citations
14.
Li, Zhenni, Zuyuan Yang, Shengli Xie, Wuhui Chen, & Kang Liu. (2019). Credit-Based Payments for Fast Computing Resource Trading in Edge-Assisted Internet of Things. IEEE Internet of Things Journal. 6(4). 6606–6617. 61 indexed citations
15.
Li, Zhenni, Zuyuan Yang, & Shengli Xie. (2019). Computing Resource Trading for Edge-Cloud-Assisted Internet of Things. IEEE Transactions on Industrial Informatics. 15(6). 3661–3669. 100 indexed citations
16.
Li, Yujie, et al.. (2019). Sparse Representation Based on the Analysis Model With Optimization on the Stiefel Manifold. IEEE Access. 7. 8385–8397. 1 indexed citations
17.
Li, Zhenni, Shuxue Ding, Wuhui Chen, Zuyuan Yang, & Shengli Xie. (2018). Proximal Alternating Minimization for Analysis Dictionary Learning and Convergence Analysis. IEEE Transactions on Emerging Topics in Computational Intelligence. 2(6). 439–449. 15 indexed citations
18.
Li, Zhenni, Shengli Xie, Wuhui Chen, & Zuyuan Yang. (2018). Overcomplete Transform Learning With the <inline-formula> <tex-math notation="LaTeX">$log$ </tex-math> </inline-formula> Regularizer. IEEE Access. 6. 65239–65249. 2 indexed citations
19.
Li, Zhenni, Shuxue Ding, Yujie Li, et al.. (2017). Manifold optimization-based analysis dictionary learning with anℓ1∕2-norm regularizer. Neural Networks. 98. 212–222. 28 indexed citations
20.
Li, Zhenni, et al.. (2016). An Experimental Study on Breakup Characteristics of Impinging Jets. 49(7). 776. 2 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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