Huiyuan Chen

1.5k total citations
53 papers, 603 citations indexed

About

Huiyuan Chen is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Huiyuan Chen has authored 53 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Huiyuan Chen's work include Recommender Systems and Techniques (13 papers), Advanced Graph Neural Networks (13 papers) and Tensor decomposition and applications (7 papers). Huiyuan Chen is often cited by papers focused on Recommender Systems and Techniques (13 papers), Advanced Graph Neural Networks (13 papers) and Tensor decomposition and applications (7 papers). Huiyuan Chen collaborates with scholars based in United States, China and Hong Kong. Huiyuan Chen's co-authors include Jing Li, Feixiong Cheng, Hao Yang, Chin‐Chia Michael Yeh, Ksenia Kirillova, Fei Wang, Jundong Li, Fereidoun Amini, Jianzhong Yang and Guilin Qi and has published in prestigious journals such as IEEE Access, Frontiers in Plant Science and PLoS Computational Biology.

In The Last Decade

Huiyuan Chen

43 papers receiving 580 citations

Peers

Huiyuan Chen
Tiantian He China
Wei Bi China
Achim Rettinger Germany
Matej Balog United Kingdom
Weihong Wang China
Cai Xu China
Qipeng Guo China
Evan Wei Xiang Hong Kong
Qi Cao China
Tiantian He China
Huiyuan Chen
Citations per year, relative to Huiyuan Chen Huiyuan Chen (= 1×) peers Tiantian He

Countries citing papers authored by Huiyuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Huiyuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiyuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Huiyuan Chen. A scholar is included among the top collaborators of Huiyuan 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 Huiyuan Chen. Huiyuan 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.
2.
Wu, Jinhua, et al.. (2025). Combine photosynthetic characteristics and leaf hyperspectral reflectance for early detection of water stress. Frontiers in Plant Science. 16. 1520304–1520304.
3.
Chen, Huiyuan, et al.. (2024). Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. 4575–4589. 1 indexed citations
4.
5.
Islam, Rashidul, et al.. (2024). Fairness without Demographics through Shared Latent Space-Based Debiasing. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12717–12725. 2 indexed citations
6.
Chen, Huiyuan, Zhe Xu, Chin‐Chia Michael Yeh, et al.. (2024). Masked Graph Transformer for Large-Scale Recommendation. arXiv (Cornell University). 2502–2506. 3 indexed citations
7.
Chen, Huiyuan, et al.. (2024). PaCEr: Network Embedding From Positional to Structural. 2485–2496. 6 indexed citations
8.
Yeh, Chin‐Chia Michael, Yujie Fan, Vivian Lai, et al.. (2024). RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. 3919–3930. 1 indexed citations
9.
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Zhang, Wei, et al.. (2024). Optimization of Binocular Vision Ranging Based on Sparse Stereo Matching and Feature Point Extraction. IEEE Access. 12. 153859–153873. 1 indexed citations
11.
Yeh, Chin‐Chia Michael, Vivian Lai, Yan Zheng, et al.. (2024). Matrix Profile for Anomaly Detection on Multidimensional Time Series. 911–916. 1 indexed citations
12.
Wang, Song, et al.. (2023). Federated Few-shot Learning. 2374–2385. 17 indexed citations
13.
Yeh, Chin‐Chia Michael, Huiyuan Chen, Yan Zheng, et al.. (2023). An Efficient Content-based Time Series Retrieval System. 4909–4915.
14.
Xu, Zhe, et al.. (2023). Kernel Ridge Regression-Based Graph Dataset Distillation. 2850–2861. 20 indexed citations
15.
16.
Yeh, Chin‐Chia Michael, Huiyuan Chen, Yan Zheng, et al.. (2023). Toward a Foundation Model for Time Series Data. 4400–4404. 9 indexed citations
17.
Chen, Huiyuan, Chin‐Chia Michael Yeh, Yujie Fan, et al.. (2023). Sharpness-Aware Graph Collaborative Filtering. 2369–2373. 4 indexed citations
18.
Wang, Lan, et al.. (2021). Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. 2021 IEEE International Conference on Big Data (Big Data). 938–947. 2 indexed citations
19.
Chen, Huiyuan, Feixiong Cheng, & Jing Li. (2020). iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding. PLoS Computational Biology. 16(7). e1008040–e1008040. 58 indexed citations
20.
Chen, Huiyuan. (2007). Application of SMART in the Selection of Project Management Mode. Advanced materials research.

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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