Yazhou Ren

4.1k total citations · 5 hit papers
87 papers, 2.7k citations indexed

About

Yazhou Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yazhou Ren has authored 87 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 12 papers in Molecular Biology. Recurrent topics in Yazhou Ren's work include Face and Expression Recognition (27 papers), Video Surveillance and Tracking Methods (15 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Yazhou Ren is often cited by papers focused on Face and Expression Recognition (27 papers), Video Surveillance and Tracking Methods (15 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Yazhou Ren collaborates with scholars based in China, United States and Hong Kong. Yazhou Ren's co-authors include Zenglin Xu, Xiaorong Pu, Jie Xu, Lifang He, Xiaofeng Zhu, Lili Pan, Kecheng Chen, Huayi Tang, Guoxian Yu and Liang Peng and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yazhou Ren

83 papers receiving 2.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation

2020 347 citations Kecheng Chen, Xiaorong Pu et al. profile →
Multi-level Feature Learning for Contrastive Multi-view Clustering

2022 213 citations Jie Xu, Yazhou Ren et al. profile →
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering

2022 154 citations Jie Xu, Yazhou Ren et al. IEEE Transactions on Knowledge and Data Engineering profile →
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering

2023 103 citations Jie Xu, Chao Li et al. IEEE Transactions on Image Processing profile →
Deep Clustering: A Comprehensive Survey

2024 64 citations Yazhou Ren, Jie Xu et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yazhou Ren China	28	1.4k	1.3k	361	267	156	87	2.7k
Hongfu Liu China	29	1.2k 0.9×	1.4k 1.1×	299 0.8×	158 0.6×	221 1.4×	109	2.7k
Xinzhong Zhu China	23	1.4k 1.0×	958 0.8×	434 1.2×	128 0.5×	104 0.7×	97	2.3k
Sihang Zhou China	34	1.8k 1.3×	1.9k 1.5×	302 0.8×	131 0.5×	435 2.8×	99	3.2k
Zhihui Lai China	35	2.4k 1.8×	942 0.7×	667 1.8×	157 0.6×	31 0.2×	130	3.4k
Mohammad Norouzi United States	21	2.6k 1.9×	1.4k 1.1×	390 1.1×	68 0.3×	46 0.3×	44	4.1k
Richard Nock France	21	886 0.6×	999 0.8×	277 0.8×	85 0.3×	140 0.9×	101	2.2k
Hongfeng Yu China	29	724 0.5×	372 0.3×	179 0.5×	338 1.3×	47 0.3×	94	2.4k
Long Yu China	20	554 0.4×	603 0.5×	166 0.5×	120 0.4×	28 0.2×	153	1.7k
Balaji Krishnapuram United States	20	568 0.4×	952 0.8×	228 0.6×	242 0.9×	21 0.1×	42	2.0k
Weixin Xie China	22	694 0.5×	1.1k 0.9×	282 0.8×	92 0.3×	139 0.9×	144	2.2k

Countries citing papers authored by Yazhou Ren

Since Specialization

Citations

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

Fields of papers citing papers by Yazhou Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yazhou Ren

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Long, Zhen, Qiyuan Wang, Yazhou Ren, Yipeng Liu, & Ce Zhu. (2025). TLRLF4MVC: Tensor Low-Rank and Low-Frequency for Scalable Multi-View Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6900–6911.

Ren, Yazhou, Jie Xu, Xiaorong Pu, et al.. (2024). A novel federated multi-view clustering method for unaligned and incomplete data fusion. Information Fusion. 108. 102357–102357. 18 indexed citations

Chen, Jianpeng, Yujing Wang, Ming Zeng, et al.. (2024). Customizing graph neural networks using path reweighting. Information Sciences. 674. 120681–120681. 2 indexed citations

Chen, Kecheng, et al.. (2024). Cross-Domain Low-Dose CT Image Denoising With Semantic Preservation and Noise Alignment. IEEE Transactions on Multimedia. 26. 8771–8782. 2 indexed citations

Ren, Yazhou, Jie Xu, Guofeng Li, et al.. (2024). Deep Clustering: A Comprehensive Survey. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 5858–5878. 64 indexed citations breakdown →

Ren, Yazhou, et al.. (2024). Cross-View Mutual Learning for Semi-Supervised Medical Image Segmentation. 9253–9261. 2 indexed citations

Long, Zhen, Ce Zhu, Pierre Comon, Yazhou Ren, & Yipeng Liu. (2023). Feature Space Recovery for Efficient Incomplete Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering. 36(9). 4664–4677. 10 indexed citations

Long, Zhen, et al.. (2023). Multi-View MERA Subspace Clustering. IEEE Transactions on Multimedia. 26. 3102–3112. 17 indexed citations

Xu, Jie, Yazhou Ren, Xiaorong Pu, et al.. (2023). Federated Deep Multi-View Clustering with Global Self-Supervision. 3498–3506. 7 indexed citations

10.

Zhang, Weiwei, et al.. (2023). Peripheral and tumor‐infiltrating immune cells are correlated with patient outcomes in ovarian cancer. Cancer Medicine. 12(8). 10045–10061. 6 indexed citations

11.

Xu, Jie, Chao Li, Liang Peng, et al.. (2023). Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. IEEE Transactions on Image Processing. 32. 1354–1366. 103 indexed citations breakdown →

12.

Ren, Yazhou, et al.. (2023). Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 7936–7943. 25 indexed citations

13.

Zhang, Weiwei, et al.. (2022). Application and comparison of several machine learning methods in the prognosis of cervical cancer. European Journal of Gynaecological Oncology. 2 indexed citations

14.

Pu, Xiaorong, et al.. (2022). EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer. Computers in Biology and Medicine. 151(Pt A). 106248–106248. 45 indexed citations

15.

Kumar, Jay, et al.. (2021). Context-Aware Bidirectional Neural Model for Sindhi Named Entity Recognition. Applied Sciences. 11(19). 9038–9038. 5 indexed citations

16.

Ren, Yazhou, et al.. (2021). Dual self-paced multi-view clustering. Neural Networks. 140. 184–192. 41 indexed citations

17.

Zhang, Zhuo, Yazhou Ren, Hu Nie, et al.. (2021). Machine learning based early mortality prediction in the emergency department. International Journal of Medical Informatics. 155. 104570–104570. 15 indexed citations

18.

Pan, Lili, Jian Liu, Peijun Tang, et al.. (2020). Latent Dirichlet allocation based generative adversarial networks. Neural Networks. 132. 461–476. 8 indexed citations

19.

Li, Lie, Xiangxian Meng, Xiaohong Wen, et al.. (2020). Highly sensitive detection of cancer cells via split aptamer mediated proximity-induced hybridization chain reaction. Talanta. 223(Pt 1). 121724–121724. 20 indexed citations

20.

Guo, Maozu, et al.. (2019). Drug repositioning based on individual bi-random walks on a heterogeneous network. BMC Bioinformatics. 20(S15). 547–547. 19 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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