Wei Xia

2.7k total citations · 2 hit papers
58 papers, 1.7k citations indexed

About

Wei Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies. According to data from OpenAlex, Wei Xia has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 9 papers in Urban Studies. Recurrent topics in Wei Xia's work include Face and Expression Recognition (17 papers), Advanced Computing and Algorithms (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Wei Xia is often cited by papers focused on Face and Expression Recognition (17 papers), Advanced Computing and Algorithms (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Wei Xia collaborates with scholars based in China, United States and United Kingdom. Wei Xia's co-authors include Quanxue Gao, Xinbo Gao, Qianqian Wang, Deyan Xie, Xiangdong Zhang, Ming Yang, Pu Zhang, Chris Ding, Dacheng Tao and Yuanjun Xiong 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

Wei Xia

53 papers receiving 1.6k 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.

Tensorized Bipartite Graph Learning for Multi-View Clustering

2022 194 citations Wei Xia, Quanxue Gao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
MeMOT: Multi-Object Tracking with Memory

2022 123 citations Jiarui Cai, Mingze Xu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Xia China	20	1.1k	716	186	186	183	58	1.7k
Yan Pan China	15	1.4k 1.2×	585 0.8×	56 0.3×	186 1.0×	154 0.8×	70	1.8k
Piyush Rai India	19	917 0.8×	1.1k 1.6×	115 0.6×	176 0.9×	139 0.8×	102	2.0k
Yuheng Jia China	21	749 0.7×	533 0.7×	59 0.3×	204 1.1×	106 0.6×	72	1.2k
Chong Peng China	21	1.4k 1.3×	644 0.9×	117 0.6×	471 2.5×	303 1.7×	52	1.8k
Quanxue Gao China	32	2.4k 2.2×	1.7k 2.3×	252 1.4×	495 2.7×	322 1.8×	139	3.4k
Kun Zhan China	23	1.7k 1.5×	850 1.2×	71 0.4×	751 4.0×	130 0.7×	77	2.4k
Zhihui Lai China	28	1.8k 1.6×	782 1.1×	70 0.4×	499 2.7×	506 2.8×	103	2.4k
Handong Zhao United States	20	1.3k 1.2×	1.0k 1.4×	29 0.2×	169 0.9×	99 0.5×	76	1.7k
Xijiong Xie China	19	1.1k 0.9×	825 1.2×	36 0.2×	250 1.3×	118 0.6×	50	1.6k
Yong Luo China	22	1.2k 1.1×	1.0k 1.4×	51 0.3×	311 1.7×	154 0.8×	116	2.1k

Countries citing papers authored by Wei Xia

Since Specialization

Citations

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

Fields of papers citing papers by Wei Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Xia

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

Guo, Jun, Wei Xia, Xiaoxuan Hu, & Yun Yang. (2025). HiSTGNN: Hierarchical Spatiotemporal Graph Neural Network for Multi-UAV Survivability Assessment. IEEE Transactions on Aerospace and Electronic Systems. 61(6). 18081–18091.

2.

Xia, Wei, et al.. (2025). Rapid charge transfer endowed by van der Waals S-scheme heterojunction for boosting photocatalytic activity. Acta Physico-Chimica Sinica. 100211–100211.

3.

Xia, Wei, et al.. (2025). Towards Digital Twins: a Novel Model-Data Fusion Method for Simulating a Train Passing Through Curved Tracks. Advances in Mechanical Engineering. 17(4).

4.

Shi, Haochen, et al.. (2023). High-performance one-stage detector for SiC crystal defects based on convolutional neural network. Knowledge-Based Systems. 280. 110994–110994. 2 indexed citations

5.

Xia, Wei, Tianxiu Wang, Quanxue Gao, Ming Yang, & Xinbo Gao. (2023). Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering. IEEE Transactions on Image Processing. 32. 1170–1183. 50 indexed citations

6.

Cai, Jiarui, Mingze Xu, Wei Li, et al.. (2022). MeMOT: Multi-Object Tracking with Memory. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8080–8090. 123 indexed citations breakdown →

7.

Xia, Wei, Quanxue Gao, Qianqian Wang, et al.. (2022). Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 5187–5202. 194 indexed citations breakdown →

8.

Xia, Wei, et al.. (2021). Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution. Neural Networks. 142. 221–230. 23 indexed citations

9.

Xia, Wei, Sen Wang, Ming Yang, et al.. (2021). Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation. Neural Networks. 145. 1–9. 56 indexed citations

10.

Xia, Wei, et al.. (2021). Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm. IEEE Transactions on Cybernetics. 52(9). 8962–8975. 83 indexed citations

11.

Wang, Qianqian, Wei Xia, Zhiqiang Tao, Quanxue Gao, & Xiaochun Cao. (2021). Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. 1748–1755. 13 indexed citations

12.

Zhao, Tianchen, Xiang Xu, Mingze Xu, et al.. (2021). Learning Self-Consistency for Deepfake Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15003–15013. 1 indexed citations

13.

Xia, Wei, Quanxue Gao, Qianqian Wang, & Xinbo Gao. (2021). Regression-based clustering network via combining prior information. Neurocomputing. 448. 324–332. 6 indexed citations

14.

Yan, Sijie, Yuanjun Xiong, Kaustav Kundu, et al.. (2021). Positive-Congruent Training: Towards Regression-Free Model Updates. 14294–14303. 19 indexed citations

15.

Zhao, Tianchen, Xiang Xu, Mingze Xu, et al.. (2020). Learning to Recognize Patch-Wise Consistency for Deepfake Detection.. arXiv (Cornell University). 10 indexed citations

16.

Zhang, Xiangdong, et al.. (2020). Low-rank tensor constrained co-regularized multi-view spectral clustering. Neural Networks. 132. 245–252. 66 indexed citations

17.

Gao, Quanxue, et al.. (2020). Enhanced Tensor RPCA and its Application. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(6). 2133–2140. 139 indexed citations

18.

Xia, Wei, et al.. (2020). Cross-view classification by joint adversarial learning and class-specificity distribution. Pattern Recognition. 110. 107633–107633. 11 indexed citations

19.

Wang, Zhihu, et al.. (2016). Man-made object detection based on fractal theory and active contour model. 14. 489–493. 3 indexed citations

20.

Xia, Wei, Luiz Fernando Capretz, & Danny Ho. (2007). Neuro-fuzzy approach to calibrate function points. 116–119. 3 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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