Yali Peng

542 total citations
21 papers, 419 citations indexed

About

Yali Peng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction. According to data from OpenAlex, Yali Peng has authored 21 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 2 papers in Human-Computer Interaction. Recurrent topics in Yali Peng's work include Medical Image Segmentation Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Image Retrieval and Classification Techniques (6 papers). Yali Peng is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Image Retrieval and Classification Techniques (6 papers). Yali Peng collaborates with scholars based in China and Canada. Yali Peng's co-authors include Shigang Liu, Yue Cao, Jun Li, Fang Liu, Jun Li, Bao Ge, Xiaojun Wu, Ling Hong, Lingjun Li and Junwei Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Yali Peng

21 papers receiving 407 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 10 320 132 47 44 27 21 419
Ajay Kumar Boyat India 6 203 0.6× 110 0.8× 45 1.0× 15 0.3× 25 0.9× 9 320
Dawa Chyophel Lepcha India 11 221 0.7× 145 1.1× 23 0.5× 31 0.7× 35 1.3× 25 340
Miguel Alemán-Flores Spain 11 314 1.0× 130 1.0× 54 1.1× 43 1.0× 35 1.3× 19 472
Fangxun Bao China 13 422 1.3× 220 1.7× 25 0.5× 39 0.9× 26 1.0× 24 502
Nasim Souly United States 4 292 0.9× 56 0.4× 133 2.8× 50 1.1× 16 0.6× 4 393
Nataša Sladoje Sweden 13 220 0.7× 64 0.5× 54 1.1× 37 0.8× 37 1.4× 52 407
Justin Joseph India 12 294 0.9× 135 1.0× 73 1.6× 62 1.4× 41 1.5× 36 472
Fuzhi Yang China 2 541 1.7× 280 2.1× 49 1.0× 30 0.7× 37 1.4× 2 640
A. Moga Germany 8 274 0.9× 49 0.4× 44 0.9× 22 0.5× 22 0.8× 13 397

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.
Peng, Yali, et al.. (2023). Image Super-Resolution Based on Gated Residual and Gated Convolution Networks. Neural Processing Letters. 55(9). 11807–11821. 2 indexed citations
2.
Peng, Yali, et al.. (2022). Pyramid dilated convolutional neural network for image denoising. Journal of Electronic Imaging. 31(2). 4 indexed citations
3.
Peng, Yali, et al.. (2022). A Multi-scale Dilated Residual Convolution Network for Image Denoising. Neural Processing Letters. 55(2). 1231–1246. 13 indexed citations
4.
Peng, Yali, et al.. (2021). Dual-Complementary Convolution Network for Remote-Sensing Image Denoising. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 10 indexed citations
5.
Peng, Yali, et al.. (2021). Pre‐training of gated convolution neural network for remote sensing image super‐resolution. IET Image Processing. 15(5). 1179–1188. 11 indexed citations
6.
Cao, Yue, Shigang Liu, Yali Peng, & Jun Li. (2020). DenseUNet: densely connected UNet for electron microscopy image segmentation. IET Image Processing. 14(12). 2682–2689. 76 indexed citations
7.
Pei, Zhao, Li Huang, Yanning Zhang, et al.. (2019). Focus Measure for Synthetic Aperture Imaging Using a Deep Convolutional Network. IEEE Access. 7. 19762–19774. 2 indexed citations
8.
Peng, Yali, et al.. (2019). A local mean and variance active contour model for biomedical image segmentation. Journal of Computational Science. 33. 11–19. 21 indexed citations
9.
Guo, Min, et al.. (2019). Learner posture recognition via a fusing model based on improved SILTP and LDP. Multimedia Tools and Applications. 78(21). 30443–30456. 5 indexed citations
10.
Liu, Shigang, et al.. (2018). Self-calibration of projective camera based on trajectory basis. Journal of Computational Science. 31. 45–53. 11 indexed citations
11.
Peng, Yali, et al.. (2018). Weighted constraint based dictionary learning for image classification. Pattern Recognition Letters. 130. 99–106. 15 indexed citations
12.
Pei, Zhao, et al.. (2017). Convolutional neural networks for class attendance. 25. 809–814. 3 indexed citations
13.
Fang, Jing, Lizhuang Yang, Yali Peng, et al.. (2017). Enhancing the effectiveness of flood road gauges with color coding. Natural Hazards. 88(1). 55–70. 4 indexed citations
14.
Liu, Shigang, et al.. (2014). A Local Statistical Information Active Contour Model for Image Segmentation. RePEc: Research Papers in Economics. 6(2). 33–49. 2 indexed citations
15.
Peng, Yali, Fang Liu, & Shigang Liu. (2013). Active contours driven by normalized local image fitting energy. Concurrency and Computation Practice and Experience. 26(5). 1200–1214. 16 indexed citations
16.
Peng, Yali, et al.. (2013). A Spatially Varying Mean and Variance Active Contour Model. 721–725. 3 indexed citations
17.
Peng, Yali, et al.. (2012). The Research of Traffic Flow Assignment Model based on the Network Calculus of Computer Network. Information Technology Journal. 11(3). 307–312. 1 indexed citations
18.
Peng, Yali, Fang Liu, & Shigang Liu. (2012). A Normalized Local Binary Fitting Model for Image Segmentation. 77–80. 8 indexed citations
19.
Liu, Shigang & Yali Peng. (2012). A local region-based Chan–Vese model for image segmentation. Pattern Recognition. 45(7). 2769–2779. 198 indexed citations
20.
Peng, Yali. (2010). Review of Digital Watermarking for Vector Digital Map. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ajay Kumar Boyat Breakdown of academic impact, for papers by Dawa Chyophel Lepcha Breakdown of academic impact, for papers by Miguel Alemán-Flores Breakdown of academic impact, for papers by Fangxun Bao Breakdown of academic impact, for papers by Nasim Souly Breakdown of academic impact, for papers by Nataša Sladoje Breakdown of academic impact, for papers by Justin Joseph Breakdown of academic impact, for papers by Fuzhi Yang Breakdown of academic impact, for papers by A. Moga
Rankless by CCL
2026