Liyun Su

595 total citations
74 papers, 388 citations indexed

About

Liyun Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Liyun Su has authored 74 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in Liyun Su's work include Chaos control and synchronization (18 papers), Image and Signal Denoising Methods (17 papers) and Neural Networks and Applications (16 papers). Liyun Su is often cited by papers focused on Chaos control and synchronization (18 papers), Image and Signal Denoising Methods (17 papers) and Neural Networks and Applications (16 papers). Liyun Su collaborates with scholars based in China, Czechia and Portugal. Liyun Su's co-authors include Fenglan Li, Jialing Yang, Xiaoyi Wang, C.-T. Pan, Hongru Ma, Wanlin Zhu, Yang Liu, Li Deng, Feng Xu and Hongzhong Lu and has published in prestigious journals such as PLoS ONE, Information Sciences and Mechanical Systems and Signal Processing.

In The Last Decade

Liyun Su

60 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liyun Su China 11 106 89 84 64 56 74 388
Niklas Lind United Kingdom 2 67 0.6× 39 0.4× 111 1.3× 29 0.5× 20 0.4× 3 380
Feng Ji China 12 142 1.3× 126 1.4× 134 1.6× 26 0.4× 19 0.3× 74 514
Kuang Zhou China 13 278 2.6× 88 1.0× 128 1.5× 49 0.8× 30 0.5× 34 588
Johannes Schmidt-Hieber Netherlands 8 211 2.0× 81 0.9× 49 0.6× 38 0.6× 24 0.4× 22 535
K. Zografos Greece 17 200 1.9× 26 0.3× 154 1.8× 31 0.5× 22 0.4× 54 1.1k
Linyu Peng China 12 48 0.5× 32 0.4× 60 0.7× 34 0.5× 34 0.6× 40 491
Sunil Bhirud India 12 157 1.5× 99 1.1× 13 0.2× 62 1.0× 81 1.4× 71 582
Ji-Nan Lin Germany 13 103 1.0× 112 1.3× 72 0.9× 148 2.3× 113 2.0× 42 507

Countries citing papers authored by Liyun Su

Since Specialization
Citations

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

Fields of papers citing papers by Liyun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Liyun Su. A scholar is included among the top collaborators of Liyun Su 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 Liyun Su. Liyun Su 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
2.
Peng, Y. Y., et al.. (2025). Logistics demand prediction using fuzzy support vector regression machine based on Adam optimization. Humanities and Social Sciences Communications. 12(1). 2 indexed citations
3.
Su, Liyun & Xiaoyi Wang. (2025). Kernel broad learning cauchy conjugate gradient algorithm for online chaotic time series prediction. Neurocomputing. 639. 130234–130234. 2 indexed citations
4.
Su, Liyun, et al.. (2025). CT-DDPM: Anomaly detection of multivariate time series with copula and transformer-based denoising diffusion probabilistic models. Information Sciences. 717. 122279–122279. 5 indexed citations
5.
Pan, C.-T., et al.. (2025). MSK-TCN: multi-scale stacked kernel temporal convolutional network for multivariate chaotic time series prediction. Physica Scripta. 100(6). 65211–65211. 1 indexed citations
6.
Su, Liyun, et al.. (2024). Dynamic adaptive graph convolutional transformer with broad learning system for multi-dimensional chaotic time series prediction. Applied Soft Computing. 157. 111516–111516. 15 indexed citations
7.
Xiang, Guangming, et al.. (2024). DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures. Briefings in Bioinformatics. 25(5). 16 indexed citations
8.
Su, Liyun, et al.. (2022). Detection of Weak Pulse Signal in Chaotic Noise Based on Improved Brain Emotional Learning Model and PSO-AGA. Journal of Sensors. 2022. 1–16. 1 indexed citations
9.
Su, Liyun, et al.. (2022). An efficient numerical method for the robust optimal investment problem with general utility functions. Journal of Industrial and Management Optimization. 19(8). 6200–6217. 3 indexed citations
10.
Su, Liyun, et al.. (2020). Statistical Detection of Weak Pulse Signal under Chaotic Noise Based on Elman Neural Network. Wireless Communications and Mobile Computing. 2020. 1–12. 10 indexed citations
11.
Su, Liyun, et al.. (2017). Detection and estimation of weak pulse signal in chaotic background noise. Acta Physica Sinica. 66(9). 90503–90503. 9 indexed citations
12.
Liu, Hui, et al.. (2017). Inflammasome activation involved in early inflammation reaction after liver transplantation. Immunology Letters. 190. 265–271. 12 indexed citations
13.
Su, Liyun, et al.. (2017). Extracting Narrow-Band Signal from a Chaotic Background with LLVCR. Wireless Personal Communications. 96(2). 1907–1927. 5 indexed citations
14.
Su, Liyun, et al.. (2016). Extracting harmonic signal from a chaotic background with local linear model. Mechanical Systems and Signal Processing. 84. 499–515. 9 indexed citations
15.
16.
Liu, Ruihua, et al.. (2012). Image Decomposition of Partly Noisy Images. Procedia Engineering. 29. 2062–2066.
17.
Su, Liyun, et al.. (2012). Numerical Solution of Integro-Differential Equations with Local Polynomial Regression. Open Journal of Statistics. 2(3). 352–355. 2 indexed citations
18.
Su, Liyun. (2010). Bilateral filtering based image restoration for multiple grayscale images. Journal of Computer Applications. 1 indexed citations
19.
Su, Liyun. (2009). An Adaptive Power Allocation Minimization Algorithm Based on MIMO-OFDM Systems. Journal of Chongqing Institute of Technology.
20.
Su, Liyun. (2009). Prediction of multivariate chaotic time series with local polynomial fitting. Computers & Mathematics with Applications. 59(2). 737–744. 62 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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