Xiaorong Pu

2.7k total citations · 3 hit papers
67 papers, 1.7k citations indexed

About

Xiaorong Pu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaorong Pu has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaorong Pu's work include Face and Expression Recognition (21 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Clustering Algorithms Research (8 papers). Xiaorong Pu is often cited by papers focused on Face and Expression Recognition (21 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Clustering Algorithms Research (8 papers). Xiaorong Pu collaborates with scholars based in China, United States and Hong Kong. Xiaorong Pu's co-authors include Yazhou Ren, Hang Qiu, Kecheng Chen, Lifang He, Fanqiang Lin, Saimin Zhang, Jie Xu, Zenglin Xu, Shudong Huang and Joey Tianyi Zhou and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Annals of Oncology.

In The Last Decade

Xiaorong Pu

61 papers receiving 1.7k citations

Hit 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 →
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering

2022 154 citations Jie Xu, Yazhou Ren et al. 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
Xiaorong Pu China	20	810	595	321	166	152	67	1.7k
Linbo Qing China	21	989 1.2×	330 0.6×	348 1.1×	52 0.3×	32 0.2×	139	1.7k
Nikos Deligiannis Belgium	19	553 0.7×	222 0.4×	132 0.4×	184 1.1×	50 0.3×	150	1.6k
Yao Ding China	22	677 0.8×	425 0.7×	1.1k 3.3×	12 0.1×	423 2.8×	74	1.9k
Zhu Li China	32	2.7k 3.3×	328 0.6×	520 1.6×	36 0.2×	192 1.3×	306	4.2k
Mei Chen China	22	508 0.6×	739 1.2×	96 0.3×	184 1.1×	124 0.8×	87	1.8k
J. Anitha India	19	539 0.7×	473 0.8×	375 1.2×	11 0.1×	131 0.9×	118	1.5k
Tong Zhang China	23	694 0.9×	214 0.4×	290 0.9×	12 0.1×	273 1.8×	98	1.6k
Ashish Kumar Bhandari India	33	2.3k 2.9×	729 1.2×	1.4k 4.2×	19 0.1×	144 0.9×	125	3.5k

Countries citing papers authored by Xiaorong Pu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaorong Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorong Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorong Pu. A scholar is included among the top collaborators of Xiaorong Pu 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 Xiaorong Pu. Xiaorong Pu 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

1.

Li, Xinwei, Xiaorong Pu, Weisi Lin, & Xudong Song. (2025). YOLO-SAM an end-to-end framework for efficient real time object detection and segmentation. Scientific Reports. 15(1). 40854–40854. 1 indexed citations

2.

Wang, Chao, et al.. (2025). Space-time image velocity measurement method based on improved GhostNetV2. Engineering Research Express. 7(1). 15269–15269.

3.

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

4.

Wu, Tianyi, et al.. (2024). Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15841–15849. 8 indexed citations

5.

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

6.

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 →

7.

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

8.

Wu, Tianyi, et al.. (2023). Deep Multi-View Clustering via View-Specific Representation and Global Graph. 493–502. 1 indexed citations

9.

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

10.

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

11.

Chen, Jianpeng, et al.. (2023). Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8791–8798. 25 indexed citations

12.

Pu, Xiaorong, et al.. (2023). Automatic Bone Metastasis Diagnosis Framework via Lightweight Transformer-Based Network. 259–265. 2 indexed citations

13.

Pu, Xiaorong, et al.. (2023). Deep Multi-view Subspace Clustering with Anchor Graph. 3577–3585. 23 indexed citations

14.

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

15.

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

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.

Qiu, Hang, Xiaojuan Zhu, Liya Wang, et al.. (2018). Attributable risk of hospital admissions for overall and specific mental disorders due to particulate matter pollution: A time-series study in Chengdu, China. Environmental Research. 170. 230–237. 93 indexed citations

19.

Pu, Xiaorong, et al.. (2012). Partially occluded face recognition using subface hidden Markov models. 720–725. 1 indexed citations

20.

Yang, Cheng‐Fu, et al.. (2008). Efficient Speaker Recognition based on Multi-class Twin Support Vector Machines and GMMs. 348–352. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Linbo Qing Breakdown of academic impact, for papers by Nikos Deligiannis Breakdown of academic impact, for papers by Yao Ding Breakdown of academic impact, for papers by Zhu Li Breakdown of academic impact, for papers by Mei Chen Breakdown of academic impact, for papers by J. Anitha Breakdown of academic impact, for papers by Tong Zhang Breakdown of academic impact, for papers by Ashish Kumar Bhandari