Zhen-Yu Chen

1.3k total citations
43 papers, 929 citations indexed

About

Zhen-Yu Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Marketing. According to data from OpenAlex, Zhen-Yu Chen has authored 43 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Marketing. Recurrent topics in Zhen-Yu Chen's work include Face and Expression Recognition (8 papers), Consumer Market Behavior and Pricing (5 papers) and Forecasting Techniques and Applications (5 papers). Zhen-Yu Chen is often cited by papers focused on Face and Expression Recognition (8 papers), Consumer Market Behavior and Pricing (5 papers) and Forecasting Techniques and Applications (5 papers). Zhen-Yu Chen collaborates with scholars based in China, United States and United Kingdom. Zhen-Yu Chen's co-authors include Zhi‐Ping Fan, Minghe Sun, Jianping Li, Liwei Wei, Xinxin Liu, Shu Guo, Jiawei Sheng, Tingwen Liu, Weixuan Xu and Hongbo Xü and has published in prestigious journals such as European Journal of Operational Research, Journal of Business Research and Expert Systems with Applications.

In The Last Decade

Zhen-Yu Chen

40 papers receiving 892 citations

Peers

Zhen-Yu Chen
Peng Zhu China
Claudia Perlich United States
Sheng-Hsun Hsu Taiwan
Jin‐Xing Hao China
Indranil Bose India
Wenyuan Li China
Ori Stitelman United States
Neamat El Gayar Egypt
Dries F. Benoit Belgium
R.A. Carrasco United Kingdom
Peng Zhu China
Zhen-Yu Chen
Citations per year, relative to Zhen-Yu Chen Zhen-Yu Chen (= 1×) peers Peng Zhu

Countries citing papers authored by Zhen-Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhen-Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen-Yu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen-Yu Chen. A scholar is included among the top collaborators of Zhen-Yu 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 Zhen-Yu Chen. Zhen-Yu Chen 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.
Chen, Zhen-Yu, et al.. (2025). Efficient Parameterization for Knowledge Graph Embedding Using Hierarchical Attention Network. Computers, materials & continua/Computers, materials & continua (Print). 82(3). 4287–4300.
2.
Guo, Jing-Ming, et al.. (2025). Improved Semantic Segmentation With Large-Scale Attention-Based Self-Supervised Few-Shot Learning. IEEE Transactions on Consumer Electronics. 71(3). 9188–9192.
3.
4.
Li, Jiwei, et al.. (2023). Knowledge graph embedding by fusing multimodal content via cross-modal learning. Mathematical Biosciences & Engineering. 20(8). 14180–14200. 1 indexed citations
5.
6.
Chen, Zhen-Yu. (2023). Data-driven risk-averse newsvendor problems: developing the CVaR criteria and support vector machines. International Journal of Production Research. 62(4). 1221–1238. 9 indexed citations
7.
Chen, Zhen-Yu, et al.. (2022). Prediction-driven collaborative emergency medical resource allocation with deep learning and optimization. Journal of the Operational Research Society. 74(2). 590–603. 10 indexed citations
8.
Chen, Zhen-Yu, et al.. (2021). Computer Aided Drug Design Based on Artificial Intelligence Algorithm. Journal of Physics Conference Series. 2066(1). 12012–12012. 3 indexed citations
9.
Chen, Zhen-Yu, et al.. (2021). Stem Cell Models and Gene Targeting for Human Motor Neuron Diseases. Pharmaceuticals. 14(6). 565–565. 10 indexed citations
10.
Sheng, Jiawei, et al.. (2020). Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. 1681–1691. 66 indexed citations
11.
Chen, Zhen-Yu, Zhi‐Ping Fan, & Minghe Sun. (2020). Tensorial graph learning for link prediction in generalized heterogeneous networks. European Journal of Operational Research. 290(1). 219–234. 5 indexed citations
12.
Chen, Zhen-Yu, et al.. (2018). Full-blind delegating private quantum computation. UTS ePRESS (University of Technology Sydney). 56(2). 211–224. 19 indexed citations
13.
Chen, Zhen-Yu & Xiaohong Zhang. (2017). An improved attribute significance measure based on rough set. 28. 1203–1209.
14.
Fan, Zhi‐Ping, et al.. (2017). Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis. Journal of Business Research. 74. 90–100. 232 indexed citations
15.
16.
Sun, Minghe, et al.. (2014). A Multi-task Multi-kernel Transfer Learning Method for Customer Response Modeling in Social Media. Procedia Computer Science. 31. 221–230. 3 indexed citations
17.
Chen, Zhen-Yu & Zhi‐Ping Fan. (2012). Distributed customer behavior prediction using multiplex data: A collaborative MK-SVM approach. Knowledge-Based Systems. 35. 111–119. 30 indexed citations
18.
Wei, Liwei, Zhen-Yu Chen, & Jianping Li. (2011). Evolution strategies based adaptive Lp LS-SVM. Information Sciences. 181(14). 3000–3016. 32 indexed citations
19.
Chen, Zhen-Yu, Jianping Li, & Liwei Wei. (2007). A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue. Artificial Intelligence in Medicine. 41(2). 161–175. 85 indexed citations
20.
Li, Jianping, Zhen-Yu Chen, Liwei Wei, Weixuan Xu, & Gang Kou. (2007). FEATURE SELECTION VIA LEAST SQUARES SUPPORT FEATURE MACHINE. International Journal of Information Technology & Decision Making. 6(4). 671–686. 37 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 Peng Zhu Breakdown of academic impact, for papers by Claudia Perlich Breakdown of academic impact, for papers by Sheng-Hsun Hsu Breakdown of academic impact, for papers by Jin‐Xing Hao Breakdown of academic impact, for papers by Indranil Bose Breakdown of academic impact, for papers by Wenyuan Li Breakdown of academic impact, for papers by Ori Stitelman Breakdown of academic impact, for papers by Neamat El Gayar Breakdown of academic impact, for papers by Dries F. Benoit Breakdown of academic impact, for papers by R.A. Carrasco
Rankless by CCL
2026