Yali Peng

578 total citations
33 papers, 473 citations indexed

About

Yali Peng is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Yali Peng has authored 33 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Computational Mechanics and 8 papers in Media Technology. Recurrent topics in Yali Peng's work include Face and Expression Recognition (25 papers), Sparse and Compressive Sensing Techniques (12 papers) and Face recognition and analysis (9 papers). Yali Peng is often cited by papers focused on Face and Expression Recognition (25 papers), Sparse and Compressive Sensing Techniques (12 papers) and Face recognition and analysis (9 papers). Yali Peng collaborates with scholars based in China, Australia and Cambodia. Yali Peng's co-authors include Shigang Liu, Lingjun Li, Tao Lei, Zengguo Sun, Jun Li, Dan Wang, De‐Yi Wang, Liping Li, Xiaojun Wu and Lingwei Yang and has published in prestigious journals such as IEEE Access, Neurocomputing and Polymer Degradation and Stability.

In The Last Decade

Yali Peng

32 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yali Peng China 14 319 86 84 61 50 33 473
Ruohan Zhang China 8 150 0.5× 32 0.4× 6 0.1× 57 0.9× 12 0.2× 29 318
Omar M. Fahmy Egypt 10 193 0.6× 70 0.8× 13 0.2× 55 0.9× 15 0.3× 48 386
Shengying Yang China 8 84 0.3× 22 0.3× 20 0.2× 49 0.8× 17 0.3× 39 327
Hung-Ting Su Taiwan 10 315 1.0× 48 0.6× 28 0.3× 125 2.0× 2 0.0× 26 463
Ravindra Yadav India 8 79 0.2× 24 0.3× 4 0.0× 19 0.3× 20 0.4× 39 229
Qingjuan Li China 9 53 0.2× 13 0.2× 16 0.2× 40 0.7× 19 0.4× 12 406
Ángel Martín Spain 11 106 0.3× 40 0.5× 3 0.0× 21 0.3× 46 0.9× 34 368

Countries citing papers authored by Yali Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yali Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yali Peng. A scholar is included among the top collaborators of Yali 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 Yali Peng. Yali 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.
2.
Feng, Xiaoyan, et al.. (2024). Functions of CAFs in microenvironment of non-small cell lung cancer: based on updated hallmarks of cancer. ONCOLOGIE. 26(5). 701–709. 3 indexed citations
3.
Luo, Ning, et al.. (2023). Evaluation of Urbanization Development Dynamics Based on Quadrilateral Diamond Structure Model: Evidence from Chongqing, China, in the New Era. Journal of Urban Planning and Development. 149(3). 3 indexed citations
4.
Peng, Yali, et al.. (2023). A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning. Pattern Analysis and Applications. 26(3). 1253–1263. 1 indexed citations
5.
Peng, Yali, et al.. (2022). Regularized label relaxation with negative technique for image classification. Multimedia Tools and Applications. 81(28). 41131–41149. 1 indexed citations
6.
Peng, Yali, et al.. (2021). A Two-Step Classification Method Based on Collaborative Representation for Positive and Unlabeled Learning. Neural Processing Letters. 53(6). 4239–4255. 4 indexed citations
7.
Liu, Shigang, et al.. (2019). Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition. IEEE Access. 8. 8668–8674. 14 indexed citations
8.
Liu, Liheng, et al.. (2019). Modification of bentonite by Al/Mg-polymeric hydroxy for Cu2+, Cd2+, and Pb2+ removal from aqueous solutions. Desalination and Water Treatment. 147. 243–254. 3 indexed citations
9.
Peng, Yali, et al.. (2018). A novel grouped sparse representation for face recognition. Multimedia Tools and Applications. 78(6). 7667–7689. 4 indexed citations
10.
Peng, Yali, et al.. (2018). Virtual samples and sparse representation‐based classification algorithm for face recognition. IET Computer Vision. 13(2). 172–177. 13 indexed citations
11.
Peng, Yali, et al.. (2018). Discriminative face recognition via kernel sparse representation. Multimedia Tools and Applications. 77(24). 32243–32256. 8 indexed citations
12.
Li, Lingjun, et al.. (2017). A survey of virtual sample generation technology for face recognition. Artificial Intelligence Review. 50(1). 1–20. 43 indexed citations
13.
Peng, Yali, et al.. (2017). Sample partition and grouped sparse representation. Journal of Modern Optics. 64(21). 2289–2297. 6 indexed citations
14.
Peng, Yali, Lingjun Li, Shigang Liu, Tao Lei, & Jie Wu. (2017). A New Virtual Samples-Based CRC Method for Face Recognition. Neural Processing Letters. 48(1). 313–327. 12 indexed citations
15.
Peng, Yali, et al.. (2017). Negative $\varepsilon$ Dragging Technique for Pattern Classification. IEEE Access. 6. 488–494. 13 indexed citations
16.
Liu, Yun, Yali Peng, Dan Wang, et al.. (2016). Effect of reactive time on flame retardancy and thermal degradation behavior of bio-based zinc alginate film. Polymer Degradation and Stability. 127. 20–31. 58 indexed citations
17.
Liu, Shigang, Xinxin Zhang, Yali Peng, & Han Cao. (2016). Virtual images inspired consolidate collaborative representation-based classification method for face recognition. Journal of Modern Optics. 63(12). 1181–1188. 13 indexed citations
18.
Zhang, Xinxin, et al.. (2016). A supervised dimensionality reduction method-based sparse representation for face recognition. Journal of Modern Optics. 64(8). 799–806. 10 indexed citations
19.
Liu, Zhonghua, et al.. (2016). Quaternion Based Maximum Margin Criterion Method for Color Face Recognition. Neural Processing Letters. 45(3). 913–923. 21 indexed citations
20.
Liu, Shigang, et al.. (2015). A novel label learning algorithm for face recognition. Signal Processing. 124. 141–146. 23 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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