Mei Yu

1.3k total citations
72 papers, 875 citations indexed

About

Mei Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mei Yu has authored 72 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Mei Yu's work include Advanced Graph Neural Networks (12 papers), Topic Modeling (10 papers) and Recommender Systems and Techniques (9 papers). Mei Yu is often cited by papers focused on Advanced Graph Neural Networks (12 papers), Topic Modeling (10 papers) and Recommender Systems and Techniques (9 papers). Mei Yu collaborates with scholars based in China, Norway and Australia. Mei Yu's co-authors include Ruiguo Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Wenhuan Lu, Zhuo Zhang, Ruixuan Zhang, Jian Yu, Jie Zhang and Jianrong Wang and has published in prestigious journals such as Applied Energy, IEEE Access and Information Sciences.

In The Last Decade

Mei Yu

64 papers receiving 854 citations

Peers

Mei Yu
Ruiguo Yu China
Mei Yu
Citations per year, relative to Mei Yu Mei Yu (= 1×) peers Ruiguo Yu

Countries citing papers authored by Mei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Mei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Yu. A scholar is included among the top collaborators of Mei Yu 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 Mei Yu. Mei Yu 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.
Yu, Mei, et al.. (2025). A YOLOv8‐based method for detecting tea disease in natural environments. Agronomy Journal. 117(2). 1 indexed citations
2.
Li, Xuewei, et al.. (2025). Short-term wind speed prediction method based on prior wind direction knowledge and multi-period decoupling. Engineering Applications of Artificial Intelligence. 153. 110596–110596. 2 indexed citations
4.
Zhao, Mankun, Jian Yu, Tianyi Xu, et al.. (2025). Read, Eliminate, and Focus: A reading comprehension paradigm for distant supervised relation extraction. Neural Networks. 185. 107138–107138.
5.
Zhao, Mankun, et al.. (2024). EHPR: Learning evolutionary hierarchy perception representation based on quaternion for temporal knowledge graph completion. Information Sciences. 688. 121409–121409. 2 indexed citations
6.
Yu, Mei, et al.. (2024). ZSDT: Zero-shot domain translation for real-world super-resolution. Image and Vision Computing. 150. 105198–105198. 1 indexed citations
7.
Yu, Jian, et al.. (2024). TELS: Learning time-evolving information and latent semantics using dual quaternion for temporal knowledge graph completion. Knowledge-Based Systems. 301. 112268–112268. 1 indexed citations
8.
Yu, Mei, et al.. (2024). Dense detection algorithm for ceramic tile defects based on improved YOLOv8. Journal of Intelligent Manufacturing. 36(8). 5613–5628. 3 indexed citations
9.
Yu, Mei, Qianyu Zhang, Jian Yu, et al.. (2022). Knowledge graph completion using topological correlation and multi-perspective independence. Knowledge-Based Systems. 259. 110031–110031. 5 indexed citations
10.
Yu, Ruiguo, Xianzhi Zhang, Mankun Zhao, et al.. (2022). CAANet: CAM-guided Adaptive Attention Network for Weakly Supervised Semantic Segmentation of Thyroid Nodules. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1791–1795. 2 indexed citations
11.
Yu, Ruiguo, et al.. (2022). Time series cross-correlation network for wind power prediction. Applied Intelligence. 53(10). 11403–11419. 9 indexed citations
12.
Wang, Jianrong, et al.. (2020). Attention-Based Dense Decoding Network for Monocular Depth Estimation. IEEE Access. 8. 85802–85812. 5 indexed citations
13.
Ying, Xiang, Yulin Zhang, Mei Yu, et al.. (2020). Cascade marker removal algorithm for thyroid ultrasound images. Medical & Biological Engineering & Computing. 58(11). 2641–2656. 3 indexed citations
14.
Ying, Xiang, et al.. (2019). Nonuniform Node Distribution using Adaptive Poisson Disk for Wireless Sensor Networks. 19. 1–7. 1 indexed citations
15.
Yu, Ruiguo, et al.. (2017). Authentication With Block-Chain Algorithm and Text Encryption Protocol in Calculation of Social Network. IEEE Access. 5. 24944–24951. 33 indexed citations
16.
Yu, Mei, Han Xu, Tianyi Xu, et al.. (2014). Design of SOAML in Social Network. Journal of Software. 9(8). 1 indexed citations
17.
Yu, Yang, et al.. (2013). A Robot Simulation System for Self-Location by Using Field Visual Information. Advanced materials research. 748. 690–694. 1 indexed citations
18.
Yu, Ruiguo, et al.. (2013). Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks. International Journal of Distributed Sensor Networks. 9(11). 814267–814267. 2 indexed citations
19.
Yang, You, et al.. (2007). Analysis on Transmission Performance for Multiview Video Coding Schemes. 92–95. 4 indexed citations
20.
Yu, Mei, et al.. (2004). A Method of DCT-based Multiple-description Coding. Jisuanji yingyong yanjiu.

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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