Jiyuan Liu

1.9k total citations · 1 hit paper
59 papers, 1.3k citations indexed

About

Jiyuan Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies. According to data from OpenAlex, Jiyuan Liu has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 9 papers in Urban Studies. Recurrent topics in Jiyuan Liu's work include Face and Expression Recognition (21 papers), Advanced Clustering Algorithms Research (19 papers) and Advanced Computing and Algorithms (9 papers). Jiyuan Liu is often cited by papers focused on Face and Expression Recognition (21 papers), Advanced Clustering Algorithms Research (19 papers) and Advanced Computing and Algorithms (9 papers). Jiyuan Liu collaborates with scholars based in China, Japan and Canada. Jiyuan Liu's co-authors include Xinwang Liu, Siwei Wang, En Zhu, Sihang Zhou, Yuexiang Yang, Weixuan Liang, Jianping Yin, Chang Tang, Xinhang Wan and Jingtao Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Jiyuan Liu

54 papers receiving 1.3k citations

Hit Papers

One-Step Multi-View Clustering With Diverse Representation 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiyuan Liu China 21 820 700 133 117 117 59 1.3k
Ranga Raju Vatsavai United States 19 217 0.3× 303 0.4× 383 2.9× 24 0.2× 240 2.1× 114 1.2k
Hosein Alizadeh Iran 16 217 0.3× 331 0.5× 22 0.2× 8 0.1× 82 0.7× 49 720
P. Blonda Italy 23 252 0.3× 497 0.7× 372 2.8× 9 0.1× 466 4.0× 84 1.7k
Mingjie Qian China 10 180 0.2× 149 0.2× 50 0.4× 19 0.2× 96 0.8× 35 469
Consuelo Gonzalo‐Martín Spain 20 331 0.4× 189 0.3× 525 3.9× 7 0.1× 150 1.3× 94 1.1k
Zhouhan Lin China 13 752 0.9× 673 1.0× 1.9k 14.5× 5 0.0× 102 0.9× 35 2.9k
Costas Panagiotakis Greece 20 552 0.7× 362 0.5× 138 1.0× 2 0.0× 56 0.5× 80 1.3k
Wei Tian China 16 113 0.1× 173 0.2× 61 0.5× 4 0.0× 249 2.1× 99 1.1k
Zhengzheng Lou China 10 144 0.2× 157 0.2× 20 0.2× 11 0.1× 302 2.6× 26 738
Tao Tang China 21 299 0.4× 101 0.1× 208 1.6× 3 0.0× 55 0.5× 132 1.3k

Countries citing papers authored by Jiyuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jiyuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyuan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiyuan Liu. A scholar is included among the top collaborators of Jiyuan Liu 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 Jiyuan Liu. Jiyuan Liu 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.
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.
2.
Xin, Binjie, et al.. (2025). A review of fabric defect detection in textile manufacturing. Journal of the Textile Institute. 117(2). 327–345. 1 indexed citations
3.
Liu, Jiyuan, Xinwang Liu, Xinhang Wan, et al.. (2025). Communication-Efficient Federated Multi-View Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 17–32. 1 indexed citations
4.
Wan, Xinhang, et al.. (2025). Anchor-Guided Sample-and-Feature Incremental Alignment Framework for Multi-View Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 36(3). 2882–2893.
5.
Liu, Jiyuan, Chuankun Li, Xinhang Wan, et al.. (2025). Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels. 20727–20736. 1 indexed citations
6.
Fan, Jiahao, et al.. (2025). A gradient-based lightweight network automated design method for facial expression recognition. Expert Systems with Applications. 296. 129130–129130.
7.
Wan, Xinhang, Jiyuan Liu, Xinwang Liu, et al.. (2024). One-Step Multi-View Clustering With Diverse Representation. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5774–5786. 48 indexed citations breakdown →
8.
Wan, Xinhang, Jiyuan Liu, Hao Yu, et al.. (2024). Contrastive Continual Multiview Clustering With Filtered Structural Fusion. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14829–14842. 6 indexed citations
9.
Liu, Xiaoyang, et al.. (2024). GDB‐YOLOv5s: Improved YOLO‐based model for ship detection in SAR images. IET Image Processing. 18(11). 2869–2883. 1 indexed citations
10.
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
11.
Hu, Xingchen, Jindong Qin, Yinghua Shen, et al.. (2023). An Efficient Federated Multiview Fuzzy C-Means Clustering Method. IEEE Transactions on Fuzzy Systems. 32(4). 1886–1899. 25 indexed citations
12.
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
13.
Tian, Jie, et al.. (2023). Underwater Object Classification in SAS Images Based on a Deformable Residual Network and Transfer Learning. Applied Sciences. 13(2). 899–899. 1 indexed citations
14.
Liu, Xinwang, Li Liu, Qing Liao, et al.. (2021). One Pass Late Fusion Multi-view Clustering. International Conference on Machine Learning. 6850–6859. 11 indexed citations
15.
Wang, Siwei, Jiyuan Liu, Sihang Zhou, et al.. (2021). Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. 4156–4164. 73 indexed citations
16.
Liu, Jiyuan, Xinwang Liu, Jian Xiong, et al.. (2020). Optimal Neighborhood Multiple Kernel Clustering with Adaptive Local Kernels. IEEE Transactions on Knowledge and Data Engineering. 1–1. 55 indexed citations
17.
Chi, Cheng, et al.. (2020). Improving performance of three-dimensional imaging sonars through deconvolution. Applied Acoustics. 175. 107812–107812. 9 indexed citations
18.
Liu, Jiyuan, et al.. (2017). Performance assessment of GNSS measurements from Android platform. 9. 472–476. 1 indexed citations
19.
Zhou, Guoyi, Changchun Song, Jiyuan Liu, et al.. (2009). The Main Terrestrial Ecosystem Services and Ecological Security in China. Diqiu kexue jinzhan. 24(6). 571–576. 56 indexed citations
20.
Liu, Jiyuan, et al.. (2001). Spatial Conceptual Data Model of GIS. 26(5). 5 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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