Weixuan Liang

566 total citations
17 papers, 356 citations indexed

About

Weixuan Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Urban Studies. According to data from OpenAlex, Weixuan Liang has authored 17 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Urban Studies. Recurrent topics in Weixuan Liang's work include Advanced Clustering Algorithms Research (13 papers), Face and Expression Recognition (11 papers) and Advanced Computing and Algorithms (7 papers). Weixuan Liang is often cited by papers focused on Advanced Clustering Algorithms Research (13 papers), Face and Expression Recognition (11 papers) and Advanced Computing and Algorithms (7 papers). Weixuan Liang collaborates with scholars based in China, Pakistan and Spain. Weixuan Liang's co-authors include Xinwang Liu, En Zhu, Siwei Wang, Jiyuan Liu, Xinhang Wan, Sihang Zhou, Yi Zhang, Xin Xu, Wenxuan Tu and Pei Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Weixuan Liang

15 papers receiving 354 citations

Peers

Weixuan Liang

CVPR

SNP

Zhitong Zhao China

Wang-Tao Zhou China

Xinhang Wan China

Yi Wen China

Zhiping Lin China

Yalan Qin China

Jie Wen China

Lazhar Labiod France

Zhibin Dong China

Zhitong Zhao China

Weixuan Liang

289 ×1.1

CVPR

204 ×0.9

65 ×1.6

67 ×1.8

30 ×1.0

SNP

Citations per year, relative to Weixuan Liang Weixuan Liang (= 1×) peers Zhitong Zhao

Countries citing papers authored by Weixuan Liang

Since Specialization

Citations

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

Fields of papers citing papers by Weixuan Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixuan Liang

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

All Works

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17 of 17 papers shown

Guan, Renxiang, Wenxuan Tu, Dayu Hu, et al.. (2025). Prototype-Driven Multi-View Attribute-Missing Graph Clustering. IEEE Transactions on Multimedia. 27. 9454–9466.

Liang, Weixuan, et al.. (2025). Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity. IEEE Transactions on Knowledge and Data Engineering. 37(12). 7226–7239.

Liu, Jiyuan, Chuankun Li, Xinhang Wan, et al.. (2025). Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels. 20727–20736. 1 indexed citations

Liang, Weixuan, Xinhang Wan, Jiyuan Liu, et al.. (2025). Incremental Nyström-based Multiple Kernel Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 39(16). 16613–16621. 2 indexed citations

Liang, Weixuan, Chang Tang, Xinwang Liu, et al.. (2024). On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(10). 6935–6947. 7 indexed citations

Wan, Xinhang, et al.. (2024). A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering. 8652–8661. 2 indexed citations

Wan, Xinhang, Bin Xiao, Xinwang Liu, et al.. (2024). Fast Continual Multi-View Clustering With Incomplete Views. IEEE Transactions on Image Processing. 33. 2995–3008. 30 indexed citations

Li, Miaomiao, Xinwang Liu, Yi Zhang, & Weixuan Liang. (2023). Late Fusion Multiview Clustering via Min-Max Optimization. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9417–9427. 11 indexed citations

Wen, Yi, Siwei Wang, Qing Liao, et al.. (2023). Unpaired Multi-View Graph Clustering With Cross-View Structure Matching. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16049–16063. 41 indexed citations

10.

Wan, Xinhang, Xinwang Liu, Jiyuan Liu, et al.. (2023). Auto-Weighted Multi-View Clustering for Large-Scale Data. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 10078–10086. 53 indexed citations

11.

Wan, Xinhang, Jiyuan Liu, Weixuan Liang, et al.. (2022). Continual Multi-view Clustering. Proceedings of the 30th ACM International Conference on Multimedia. 3676–3684. 38 indexed citations

12.

Zhang, Yi, Weixuan Liang, Xinwang Liu, et al.. (2022). Sample Weighted Multiple Kernel K-means via Min-Max optimization. Proceedings of the 30th ACM International Conference on Multimedia. 1679–1687. 7 indexed citations

13.

Liang, Weixuan, Xinwang Liu, Sihang Zhou, et al.. (2022). Robust Graph-Based Multi-View Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7462–7469. 25 indexed citations

14.

Li, Miaomiao, Weixuan Liang, & Xinwang Liu. (2021). Multi-View Clustering With Learned Bipartite Graph. IEEE Access. 9. 87952–87961. 7 indexed citations

15.

Liang, Weixuan, et al.. (2021). Trade-off Between Efficiency and Effectiveness: A Late Fusion Multi-view Clustering Algorithm. Computers, materials & continua/Computers, materials & continua (Print). 66(3). 2709–2722. 1 indexed citations

16.

Liu, Jiyuan, Xinwang Liu, Yi Zhang, et al.. (2021). Self-Representation Subspace Clustering for Incomplete Multi-view Data. 2726–2734. 72 indexed citations

17.

Liang, Weixuan, Sihang Zhou, Jian Xiong, et al.. (2020). Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix. IEEE Transactions on Knowledge and Data Engineering. 1–1. 59 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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