Yepeng Liu

652 total citations
51 papers, 389 citations indexed

About

Yepeng Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Yepeng Liu has authored 51 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 10 papers in Signal Processing. Recurrent topics in Yepeng Liu's work include Time Series Analysis and Forecasting (10 papers), Stock Market Forecasting Methods (9 papers) and Advanced Image Processing Techniques (9 papers). Yepeng Liu is often cited by papers focused on Time Series Analysis and Forecasting (10 papers), Stock Market Forecasting Methods (9 papers) and Advanced Image Processing Techniques (9 papers). Yepeng Liu collaborates with scholars based in China, Singapore and Canada. Yepeng Liu's co-authors include Caiming Zhang, Fan Zhang, Zhenkun Lei, Yongjun Ren, Jinjiang Li, Xuemei Li, Rui Ma, Caiming Zhang, Zhiliang Deng and Chunpeng Ge and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Yepeng Liu

44 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yepeng Liu China 12 176 103 63 62 61 51 389
Xiaojing Li China 11 160 0.9× 24 0.2× 45 0.7× 36 0.6× 60 1.0× 36 353
Paras Jain India 11 207 1.2× 125 1.2× 44 0.7× 30 0.5× 14 0.2× 52 440
Himanshu Singh India 14 335 1.9× 179 1.7× 59 0.9× 20 0.3× 27 0.4× 51 492
Fei Zhang China 8 60 0.3× 47 0.5× 55 0.9× 36 0.6× 124 2.0× 43 384
Shuqiang Yang China 11 70 0.4× 36 0.3× 108 1.7× 13 0.2× 52 0.9× 85 399
Hongrui Zhang China 10 68 0.4× 20 0.2× 104 1.7× 64 1.0× 133 2.2× 44 460
Dian Liu China 11 97 0.6× 15 0.1× 49 0.8× 13 0.2× 62 1.0× 36 380

Countries citing papers authored by Yepeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yepeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yepeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yepeng Liu. A scholar is included among the top collaborators of Yepeng Liu 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 Yepeng Liu. Yepeng Liu 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.
Liu, Yepeng, et al.. (2025). A decoupled network with variable graph convolution and temporal external attention for long-term multivariate time series forecasting. Expert Systems with Applications. 271. 126584–126584. 1 indexed citations
2.
Zhang, Fan, et al.. (2025). Dual-channel transformer: Integrating independence and dependence for time series forecasting. Expert Systems with Applications. 300. 130258–130258.
3.
Zhang, Fan, et al.. (2025). A channel-independent network based on wavelet enhancement for long-term time series forecasting. Engineering Applications of Artificial Intelligence. 154. 110964–110964. 1 indexed citations
4.
Xie, Zhenghui, Siying Wu, Huaiping Shi, et al.. (2025). Land Consolidation Potential Assessment by Using the Production–Living–Ecological Space Framework in the Guanzhong Plain, China. Sustainability. 17(15). 6887–6887.
5.
Liu, Yepeng, et al.. (2025). CycleGAN-based unsupervised image smoothing framework with wavelet downsampling and multi-scale spatially-adaptive attention. Digital Signal Processing. 165. 105300–105300. 1 indexed citations
6.
Zhang, Fan, et al.. (2025). Probabilistic intervals prediction based on adaptive regression with attention residual connections and covariance constraints. Engineering Applications of Artificial Intelligence. 156. 111013–111013. 2 indexed citations
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9.
Wang, Hua, et al.. (2024). CFDformer: Medical image segmentation based on cross fusion dual attention network. Biomedical Signal Processing and Control. 101. 107208–107208.
10.
Li, Siyuan, et al.. (2024). Image smoothing method based on global gradient sparsity and local relative gradient constraint optimization. Scientific Reports. 14(1). 15152–15152. 1 indexed citations
11.
Wang, Hua, et al.. (2024). Probabilistic interval prediction method based on shape‐adaptive quantile regression. Expert Systems. 41(8). 1 indexed citations
12.
Chen, Tian, et al.. (2024). Dual structure-aware image filterings for semi-supervised medical image segmentation. Medical Image Analysis. 99. 103364–103364. 2 indexed citations
13.
Wang, Han, et al.. (2024). SDVS-Net: A spatial dilated convolution and variable self-attention network for multivariate long-term time series forecasting. Neurocomputing. 619. 129148–129148. 2 indexed citations
14.
Liu, Yepeng, et al.. (2024). FL-Net: A multi-scale cross-decomposition network with frequency external attention for long-term time series forecasting. Knowledge-Based Systems. 288. 111473–111473. 17 indexed citations
15.
Liu, Yepeng, et al.. (2023). A stock series prediction model based on variational mode decomposition and dual-channel attention network. Expert Systems with Applications. 238. 121708–121708. 31 indexed citations
16.
Liu, Yepeng, et al.. (2023). Deep recurrent residual channel attention network for single image super-resolution. The Visual Computer. 40(5). 3441–3456. 16 indexed citations
17.
Li, Jinjiang, et al.. (2023). Dynamic weight HiLo attention network for medical image multiple organ segmentation. International Journal of Imaging Systems and Technology. 34(1). 1 indexed citations
18.
Liu, Yepeng, Yongjun Ren, Chunpeng Ge, Jinyue Xia, & Qirun Wang. (2019). A CCA-secure multi-conditional proxy broadcast re-encryption scheme for cloud storage system. Journal of Information Security and Applications. 47. 125–131. 23 indexed citations
19.
Ding, Na, Yepeng Liu, Linwei Fan, & Caiming Zhang. (2019). Single Image Super-Resolution via Dynamic Lightweight Database with Local-Feature Based Interpolation. Journal of Computer Science and Technology. 34(3). 537–549. 8 indexed citations
20.
Wu, Liqiong, et al.. (2016). High-resolution images based on directional fusion of gradient. Computational Visual Media. 2(1). 31–43. 11 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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2026