Zeyu Cui

783 total citations
19 papers, 296 citations indexed

About

Zeyu Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zeyu Cui has authored 19 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Zeyu Cui's work include Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Topic Modeling (3 papers). Zeyu Cui is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Topic Modeling (3 papers). Zeyu Cui collaborates with scholars based in China, United States and Switzerland. Zeyu Cui's co-authors include Shu Wu, Yufeng Zhang, Xueli Yu, Liang Wang, Liang Wang, Qiang Liu, Xiaoyu Zhang, Huaiqing Zhang, Jun Yu and Liang Wang and has published in prestigious journals such as Journal of Environmental Management, IEEE Transactions on Smart Grid and Remote Sensing.

In The Last Decade

Zeyu Cui

17 papers receiving 292 citations

Peers

Countries citing papers authored by Zeyu Cui

Since Specialization

Citations

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

Fields of papers citing papers by Zeyu Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeyu Cui

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	GraphFM: Graph Factorization Machines for Feature Interaction Modelling 2025 ·Shu Wu, Zekun Li, (unknown), Zeyu Cui, Xiaoyu Zhang, Liang Wang	2
2	Enhancing LLMs for Power System Simulations: A Feedback-Driven Multi-Agent Framework 2025 ·IEEE Transactions on Smart Grid ·Mengshuo Jia, Zeyu Cui, Gabriela Hug	3
3	Correction to: GraphFM: Graph Factorization Machines for Feature Interaction Modelling 2025 ·Shu Wu, Zekun Li, (unknown), Zeyu Cui, Xiaoyu Zhang, Liang Wang	1
4	A two-dimensional four-quadrant assessment method to explore the spatiotemporal coupling and coordination relationship of human activities and ecological environment 2024 ·Journal of Environmental Management ·(unknown), Huaiqing Zhang, (unknown), Yang Liu, (unknown), (unknown), Zeyu Cui, Dongping Zheng	12
5	EWMACD Algorithm in Early Detection of Defoliation Caused by Dendrolimus tabulaeformis Tsai et Liu 2024 ·Remote Sensing ·Yuxin Zhao, Zeyu Cui, Xiangnan Liu, (unknown), (unknown), Lei Feng, Botian Zhou, (unknown), Zheng Tan, Ling Wu	0
6	Very High Resolution Images and Superpixel-Enhanced Deep Neural Forest Promote Urban Tree Canopy Detection 2023 ·Remote Sensing ·(unknown), Huaiqing Zhang, Zeyu Cui, (unknown), (unknown), (unknown), (unknown), (unknown)	9
7	CRNet: Combining CenterNet and R-CNN for Object Detection in Traffic Scenes 2023 ·Zeyu Cui, Jun Yu	2
8	MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition 2023 ·(unknown), Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou	5
9	DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Zeyu Cui, (unknown), Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, (unknown)	22
10	A Graph-based Relevance Matching Model for Ad-hoc Retrieval 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang	11
11	Disentangled Item Representation for Recommender Systems 2021 ·ACM Transactions on Intelligent Systems and Technology ·Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang	10
12	Deep Kinship Verification and Retrieval Based on Fusion Siamese Neural Network 2021 ·Jun Yu, (unknown), (unknown), Zeyu Cui, Liwen Zhang, Zhongpeng Cai	4
13	Motif-aware Sequential Recommendation 2021 ·Zeyu Cui, (unknown), Shu Wu, Xibo Ma, Liang Wang	10
14	Tibetan text classification based on RNN 2021 ·Journal of Physics Conference Series ·Wei Yan, Hui Cao, Zeyu Cui	4
15	Boosting Fairness for Masked Face Recognition 2021 ·Jun Yu, (unknown), Zeyu Cui, Peng He, Tongliang Liu	6
16	Research on User Portrait Based on Tag Word Embedding 2021 ·Lanzhou University Institutional Repository ·Zeyu Cui, Hui Cao, (unknown)	1
17	Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks 2020 ·Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, (unknown), Liang Wang	191
18	Semi-Supervised Compatibility Learning Across Categories for Clothing Matching 2019 ·Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang	3
19	A Computer Simulation Algorithm About Traffic Flow 2015 ·Advances in intelligent systems research ·Zeyu Cui	0

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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