Xiu-Shen Wei

7.2k total citations · 4 hit papers
71 papers, 3.9k citations indexed

About

Xiu-Shen Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xiu-Shen Wei has authored 71 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 45 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Xiu-Shen Wei's work include Domain Adaptation and Few-Shot Learning (29 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Advanced Neural Network Applications (19 papers). Xiu-Shen Wei is often cited by papers focused on Domain Adaptation and Few-Shot Learning (29 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Advanced Neural Network Applications (19 papers). Xiu-Shen Wei collaborates with scholars based in China, Australia and United States. Xiu-Shen Wei's co-authors include Jianxin Wu, Peng Wang, Zhao-Min Chen, Yanwen Guo, Zhi‐Hua Zhou, Chunhua Shen, Boyan Zhou, Quan Cui, Jian-Hao Luo and Lingqiao Liu and has published in prestigious journals such as ACS Nano, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Applied Materials & Interfaces.

In The Last Decade

Xiu-Shen Wei

64 papers receiving 3.9k 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.

Multi-Label Image Recognition With Graph Convolutional Networks

2019 773 citations Zhao-Min Chen, Xiu-Shen Wei et al. profile →
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

2020 512 citations Boyan Zhou, Quan Cui et al. profile →
Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization

2017 256 citations Xiu-Shen Wei, Jianxin Wu et al. Pattern Recognition profile →
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification

2021 171 citations Peng Wang, Xiu-Shen Wei et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiu-Shen Wei China	26	2.6k	2.2k	342	323	165	71	3.9k
Seong Joon Oh Germany	14	2.6k 1.0×	1.8k 0.8×	284 0.8×	344 1.1×	126 0.8×	24	3.8k
Ishan Misra United States	18	3.0k 1.2×	2.2k 1.0×	340 1.0×	266 0.8×	143 0.9×	35	4.7k
Fan Zhu China	29	2.5k 1.0×	1.5k 0.7×	260 0.8×	250 0.8×	302 1.8×	76	3.7k
Abhinav Shrivastava United States	20	2.1k 0.8×	1.3k 0.6×	218 0.6×	272 0.8×	130 0.8×	73	3.2k
Youngjoon Yoo South Korea	13	2.3k 0.9×	1.6k 0.7×	297 0.9×	281 0.9×	160 1.0×	30	3.5k
Sanghyuk Chun South Korea	11	2.2k 0.9×	1.5k 0.7×	280 0.8×	278 0.9×	126 0.8×	21	3.3k
Yi-Zhe Song United Kingdom	38	4.3k 1.7×	1.8k 0.9×	170 0.5×	278 0.9×	212 1.3×	164	5.5k
Mu Li China	23	1.6k 0.6×	2.0k 0.9×	203 0.6×	228 0.7×	127 0.8×	61	4.0k
Junsuk Choe South Korea	11	2.1k 0.8×	1.6k 0.7×	305 0.9×	284 0.9×	141 0.9×	25	3.2k
Sangdoo Yun South Korea	19	3.9k 1.5×	2.3k 1.1×	346 1.0×	637 2.0×	173 1.0×	52	5.5k

Countries citing papers authored by Xiu-Shen Wei

Since Specialization

Citations

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

Fields of papers citing papers by Xiu-Shen Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiu-Shen Wei. 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 Xiu-Shen Wei. The network helps show where Xiu-Shen Wei may publish in the future.

Co-authorship network of co-authors of Xiu-Shen Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiu-Shen Wei. A scholar is included among the top collaborators of Xiu-Shen Wei 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 Xiu-Shen Wei. Xiu-Shen Wei 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

Wei, Xiu-Shen, et al.. (2025). Nanocellulose/Graphene Oxide Composite Beads as a Novel Hemoperfusion Adsorbent for Efficient Removal of Bilirubin Plasma. Biomacromolecules. 26(4). 2458–2466. 1 indexed citations

Li, Yong, et al.. (2025). Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection. IEEE Transactions on Affective Computing. 16(3). 1916–1928. 1 indexed citations

Wei, Xiu-Shen, et al.. (2025). Nanocellulose/activated carbon composite aerogel beads with high adsorption capacity for toxins in blood. International Journal of Biological Macromolecules. 300. 140279–140279. 1 indexed citations

Du, Hong, Gaosheng Li, Xiu-Shen Wei, et al.. (2024). Electronic skin using cellulose nanofiber/hollow polypyrrole microspheres with good sensitivity and vapor permeability. Cellulose. 31(17). 10375–10388. 1 indexed citations

Wei, Xiu-Shen, Heyang Xu, Ye Wu, et al.. (2024). Data tells the truth: A Knowledge distillation method for genomic survival analysis by handling censoring. Fundamental Research. 6(1). 432–440.

Wei, Xiu-Shen. (2023). Fine-Grained Image Analysis: Modern Approaches. 1 indexed citations

Wang, Jiabao, Yang Li, Xiu-Shen Wei, et al.. (2023). Bridge the gap between supervised and unsupervised learning for fine-grained classification. Information Sciences. 649. 119653–119653. 6 indexed citations

Shen, Yang, et al.. (2023). Equiangular Basis Vectors. 17. 11755–11765. 5 indexed citations

Wei, Xiu-Shen, et al.. (2021). A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval. neural information processing systems. 34. 6 indexed citations

10.

Gao, Ruru, Xiu-Shen Wei, Wei Zhao, Aming Xie, & Wei Dong. (2021). Machine learning-assisted array from fluorescent conjugated microporous polymers for multiple explosives recognition. Analytica Chimica Acta. 1192. 339343–339343. 10 indexed citations

11.

Song, Kaitao, Xiu-Shen Wei, Xiangbo Shu, Renjie Song, & Jianfeng Lu. (2020). Bi-Modal Progressive Mask Attention for Fine-Grained Recognition. IEEE Transactions on Image Processing. 29. 7006–7018. 50 indexed citations

12.

Luo, Wei, et al.. (2020). Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Processing Letters. 27. 1545–1549. 61 indexed citations

13.

Chen, Zhao-Min, et al.. (2020). Structure-aware human pose estimation with graph convolutional networks. Pattern Recognition. 106. 107410–107410. 63 indexed citations

14.

Zhou, Boyan, et al.. (2020). BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition. 9716–9725. 512 indexed citations breakdown →

15.

Chen, Yu, Chunhua Shen, Hao Chen, et al.. (2019). Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(7). 1654–1669. 28 indexed citations

16.

Wei, Xiu-Shen, Peng Wang, Lingqiao Liu, Chunhua Shen, & Jianxin Wu. (2019). Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. IEEE Transactions on Image Processing. 28(12). 6116–6125. 108 indexed citations

17.

Wei, Xiu-Shen, et al.. (2017). Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. IEEE Transactions on Affective Computing. 9(3). 303–315. 59 indexed citations

18.

Chen, Yu, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, & Jian Yang. (2017). Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1221–1230. 202 indexed citations

19.

Wei, Xiu-Shen & Zhi‐Hua Zhou. (2016). An empirical study on image bag generators for multi-instance learning. Machine Learning. 105(2). 155–198. 27 indexed citations

20.

Wei, Xiu-Shen, Bin-Bin Gao, & Jianxin Wu. (2015). Deep Spatial Pyramid Ensemble for Cultural Event Recognition. 280–286. 22 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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