Zhensong Chen

877 total citations
21 papers, 580 citations indexed

About

Zhensong Chen is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Zhensong Chen has authored 21 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 10 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Zhensong Chen's work include Stock Market Forecasting Methods (11 papers), Energy Load and Power Forecasting (8 papers) and Imbalanced Data Classification Techniques (4 papers). Zhensong Chen is often cited by papers focused on Stock Market Forecasting Methods (11 papers), Energy Load and Power Forecasting (8 papers) and Imbalanced Data Classification Techniques (4 papers). Zhensong Chen collaborates with scholars based in China and United States. Zhensong Chen's co-authors include Manrui Jiang, Wei Chen, Wei-Guo Zhang, Yong Shi, Lifen Jia, Yue Qiu, Zhewei Song, Yi Qu, Huilin Xu and Zhiquan Qi and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Zhensong Chen

20 papers receiving 563 citations

Peers

Zhensong Chen

MSOR

EEE

FINAN

Hsiao-Fen Hsiao China

Erkam Güreşen Türkiye

Rodolfo C. Cavalcante Brazil

Jarley P. Nóbrega Brazil

Dirk-Emma Baestaens Belgium

Kinjal Chaudhari India

Fangzhou Yang China

Saman Haratizadeh Iran

João Garcia Belgium

Manrui Jiang China

Hsiao-Fen Hsiao China

Zhensong Chen

222 ×0.7

MSOR

145 ×0.8

112 ×0.6

EEE

131 ×1.0

60 ×0.5

FINAN

Citations per year, relative to Zhensong Chen Zhensong Chen (= 1×) peers Hsiao-Fen Hsiao

Countries citing papers authored by Zhensong Chen

Since Specialization

Citations

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

Fields of papers citing papers by Zhensong Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhensong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhensong Chen. A scholar is included among the top collaborators of Zhensong Chen 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 Zhensong Chen. Zhensong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yao, Yinhong, Xiuwen Chen, & Zhensong Chen. (2025). Portfolio tail risk forecasting for international financial assets: A GARCH-MIDAS-R-Vine copula model. The North American Journal of Economics and Finance. 77. 102385–102385.

Yao, Yinhong, et al.. (2025). Quantile-Based Spillover Network Analysis of Financial Institutions in Chinese Mainland and Hong Kong. International Journal of Information Technology & Decision Making. 24(3). 817–842. 1 indexed citations

Liu, Xueyong, Yanhui Wu, Min Luo, & Zhensong Chen. (2024). Stock price prediction for new energy vehicle companies based on multi-source data and hybrid attention structure. Expert Systems with Applications. 255. 124787–124787. 6 indexed citations

Qiu, Yue, et al.. (2024). A novel semisupervised learning method with textual information for financial distress prediction. Journal of Forecasting. 43(7). 2478–2494. 1 indexed citations

Shi, Yong, et al.. (2023). Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction. International Journal of Machine Learning and Cybernetics. 15(1). 161–176. 20 indexed citations

Shi, Yong, et al.. (2023). Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation. European Journal of Operational Research. 315(2). 786–801. 16 indexed citations

Liu, Xueyong, Zhihua Chen, Zhensong Chen, & Yinhong Yao. (2022). The time-varying spillover effect of China’s stock market during the COVID-19 pandemic. Physica A Statistical Mechanics and its Applications. 603. 127821–127821. 13 indexed citations

Qiu, Yue, Zhewei Song, & Zhensong Chen. (2022). Short-term stock trends prediction based on sentiment analysis and machine learning. Soft Computing. 26(5). 2209–2224. 38 indexed citations

Miao, Jianyu, Tiejun Yang, Chao Fan, et al.. (2022). Self-paced non-convex regularized analysis–synthesis dictionary learning for unsupervised feature selection. Knowledge-Based Systems. 241. 108279–108279. 9 indexed citations

10.

Zhang, Wenjun, Zhensong Chen, Jianyu Miao, & Xueyong Liu. (2022). Research on Graph Neural Network in Stock Market. Procedia Computer Science. 214. 786–792. 11 indexed citations

11.

Qu, Yi, et al.. (2022). Review of graph construction and graph learning in stock price prediction. Procedia Computer Science. 214. 771–778. 9 indexed citations

12.

Lu, Shan, et al.. (2021). Predicting stock market crisis via market indicators and mixed frequency investor sentiments. Expert Systems with Applications. 186. 115844–115844. 19 indexed citations

13.

Miao, Jianyu, et al.. (2021). Unsupervised feature selection by non-convex regularized self-representation. Expert Systems with Applications. 173. 114643–114643. 27 indexed citations

14.

Chen, Wei, Manrui Jiang, Wei-Guo Zhang, & Zhensong Chen. (2020). A novel graph convolutional feature based convolutional neural network for stock trend prediction. Information Sciences. 556. 67–94. 185 indexed citations

15.

Chen, Wei, Huilin Xu, Zhensong Chen, & Manrui Jiang. (2020). A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters. Neurocomputing. 426. 85–103. 42 indexed citations

16.

Jiang, Manrui, Lifen Jia, Zhensong Chen, & Wei Chen. (2020). The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm. Annals of Operations Research. 309(2). 553–585. 79 indexed citations

17.

Fan, Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, & Yong Shi. (2019). Token based crack detection. Journal of Intelligent & Fuzzy Systems. 38(3). 3501–3513. 5 indexed citations

18.

Chen, Zhensong, et al.. (2019). Ensemble learning with label proportions for bankruptcy prediction. Expert Systems with Applications. 146. 113155–113155. 49 indexed citations

19.

Chen, Zhensong, et al.. (2019). Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognition. 91. 13–24. 10 indexed citations

20.

Li, Biao, Yong Shi, Zhiquan Qi, & Zhensong Chen. (2018). A Survey on Semantic Segmentation. 1233–1240. 35 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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