Yanwei Yu

1.2k total citations
50 papers, 609 citations indexed

About

Yanwei Yu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanwei Yu has authored 50 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Signal Processing and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yanwei Yu's work include Data Management and Algorithms (15 papers), Advanced Graph Neural Networks (14 papers) and Human Mobility and Location-Based Analysis (12 papers). Yanwei Yu is often cited by papers focused on Data Management and Algorithms (15 papers), Advanced Graph Neural Networks (14 papers) and Human Mobility and Location-Based Analysis (12 papers). Yanwei Yu collaborates with scholars based in China, Hong Kong and United States. Yanwei Yu's co-authors include Junyu Dong, Chao Huang, Zhongying Zhao, Peng Song, Yuxuan Liang, Chenliang Li, Zhijun Liu, Yuhao Yang, Lianghao Xia and Wenming Zheng and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Yanwei Yu

47 papers receiving 599 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yanwei Yu China 15 357 206 162 119 97 50 609
Manohar Kaul India 10 423 1.2× 127 0.6× 109 0.7× 149 1.3× 57 0.6× 20 751
Lun Du China 15 541 1.5× 271 1.3× 99 0.6× 49 0.4× 203 2.1× 51 755
Jingping Bi China 14 314 0.9× 158 0.8× 120 0.7× 222 1.9× 80 0.8× 61 841
Xiaopeng Li China 8 243 0.7× 276 1.3× 139 0.9× 75 0.6× 17 0.2× 25 516
Xu Zheng China 8 421 1.2× 172 0.8× 100 0.6× 59 0.5× 40 0.4× 11 777
Chao Deng China 12 181 0.5× 98 0.5× 97 0.6× 49 0.4× 19 0.2× 47 391
Xuelian Lin China 11 114 0.3× 131 0.6× 88 0.5× 50 0.4× 40 0.4× 27 410
Minghao Zhao China 16 319 0.9× 199 1.0× 127 0.8× 24 0.2× 142 1.5× 37 618

Countries citing papers authored by Yanwei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yanwei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanwei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanwei Yu. A scholar is included among the top collaborators of Yanwei 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 Yanwei Yu. Yanwei 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.
Song, Peng, et al.. (2025). Label completion based concept factorization for incomplete multi-view clustering. Knowledge-Based Systems. 310. 112953–112953.
2.
Jiang, Ruobing, Yacong Li, Haobing Liu, & Yanwei Yu. (2025). Incorporating attributes and multi-scale structures for heterogeneous graph contrastive learning. Information Fusion. 122. 103220–103220. 1 indexed citations
3.
Zhao, Xingyu, et al.. (2025). $$\text {MA}^{2}\text {Traj} $$: Diffusion network with multi-attribute aggregation for trajectory generation. GeoInformatica. 29(3). 789–810. 1 indexed citations
4.
Zhao, Zhongying, et al.. (2024). LeDA-GNN: Learnable dual augmentation for graph neural networks. Expert Systems with Applications. 268. 126288–126288.
5.
Zhao, Xingyu, et al.. (2024). Deep learning for ocean temperature forecasting: a survey. 2(1). 5 indexed citations
6.
Song, Peng, et al.. (2024). Comprehensive multi-view self-representations for clustering. Expert Systems with Applications. 251. 124103–124103. 8 indexed citations
7.
Song, Peng, et al.. (2024). Clean affinity matrix induced hyper-Laplacian regularization for unsupervised multi-view feature selection. Information Sciences. 682. 121276–121276. 5 indexed citations
8.
Cao, Yuan, et al.. (2024). Hypergraph Hash Learning for Efficient Trajectory Similarity Computation. 175–186. 1 indexed citations
9.
Wang, Bin, et al.. (2024). DeepWind: a heterogeneous spatio-temporal model for wind forecasting. Knowledge-Based Systems. 286. 111385–111385. 11 indexed citations
10.
Yu, Yanwei, et al.. (2024). MHGCN+: Multiplex Heterogeneous Graph Convolutional Network. ACM Transactions on Intelligent Systems and Technology. 15(3). 1–25. 3 indexed citations
11.
Song, Peng, et al.. (2024). Weighted tensor-based consistent anchor graph learning for multi-view clustering. Neurocomputing. 620. 129253–129253. 1 indexed citations
12.
Wang, Bin, et al.. (2023). Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE. Knowledge-Based Systems. 275. 110725–110725. 32 indexed citations
13.
Song, Peng, et al.. (2023). Tensor-based consensus learning for incomplete multi-view clustering. Expert Systems with Applications. 234. 121013–121013. 19 indexed citations
14.
Li, Chao, et al.. (2023). OSGNN: Original graph and Subgraph aggregated Graph Neural Network. Expert Systems with Applications. 225. 120115–120115. 18 indexed citations
15.
Song, Peng, et al.. (2023). Structural regularization based discriminative multi-view unsupervised feature selection. Knowledge-Based Systems. 272. 110601–110601. 17 indexed citations
16.
Zhao, Zhongying, et al.. (2023). Session-based recommendation with hypergraph convolutional networks and sequential information embeddings. Expert Systems with Applications. 223. 119875–119875. 24 indexed citations
17.
Yu, Yanwei, et al.. (2023). Graph Structure Learning on User Mobility Data for Social Relationship Inference. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4578–4586. 5 indexed citations
18.
Huang, Chao, et al.. (2021). Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference. 1042–1047. 8 indexed citations
19.
Yu, Kai, Lihong Wang, & Yanwei Yu. (2020). Ordering-Based Kalman Filter Selective Ensemble for Classification. IEEE Access. 8. 9715–9727. 5 indexed citations
20.
Yu, Yanwei, et al.. (2017). Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams. 256–265. 7 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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2026