Xun Wang

2.0k total citations
59 papers, 1.1k citations indexed

About

Xun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Xun Wang has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Xun Wang's work include Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Xun Wang is often cited by papers focused on Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Xun Wang collaborates with scholars based in China, United States and Singapore. Xun Wang's co-authors include Jianfeng Dong, Xun Yang, Meng Wang, Xirong Li, Yan Tian, Gang Yang, Chaoxi Xu, Matthew R. Scott, Xintong Han and Yu Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Xun Wang

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xun Wang China 16 862 389 80 66 65 59 1.1k
Nicolas Thome France 17 860 1.0× 574 1.5× 141 1.8× 32 0.5× 79 1.2× 43 1.3k
Li He China 16 524 0.6× 222 0.6× 93 1.2× 62 0.9× 61 0.9× 92 1.1k
Nicola Conci Italy 19 730 0.8× 506 1.3× 83 1.0× 36 0.5× 76 1.2× 119 1.3k
Siliang Tang China 22 934 1.1× 705 1.8× 143 1.8× 108 1.6× 33 0.5× 122 1.6k
Jianhua Zou China 16 568 0.7× 329 0.8× 54 0.7× 76 1.2× 68 1.0× 60 1.2k
Konstantinos Bousmalis United Kingdom 9 1.0k 1.2× 783 2.0× 126 1.6× 40 0.6× 82 1.3× 16 1.5k
Bo Xiong United States 15 980 1.1× 412 1.1× 55 0.7× 37 0.6× 80 1.2× 23 1.3k
Yuzhu Ji China 14 639 0.7× 238 0.6× 92 1.1× 62 0.9× 57 0.9× 30 996
Zan Gao China 18 810 0.9× 368 0.9× 72 0.9× 102 1.5× 176 2.7× 59 1.1k
Ivan Krasin United States 5 1.2k 1.4× 808 2.1× 98 1.2× 31 0.5× 43 0.7× 5 1.8k

Countries citing papers authored by Xun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Wang. A scholar is included among the top collaborators of Xun Wang 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 Xun Wang. Xun Wang 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.
Liu, Zhenguang, et al.. (2024). Multi-threshold deep metric learning for facial expression recognition. Pattern Recognition. 156. 110711–110711. 1 indexed citations
2.
Zuo, Zhiwen, Ailin Li, Lei Zhao, et al.. (2024). Statistics Enhancement Generative Adversarial Networks for Diverse Conditional Image Synthesis. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 6167–6180. 1 indexed citations
3.
Shi, Huifang, et al.. (2024). An adaptive Morlet wavelet-based iterative filtering method for locating informative frequency band. Measurement Science and Technology. 35(8). 86111–86111. 4 indexed citations
4.
Zhou, Jianling, et al.. (2024). DeepBP: Ensemble deep learning strategy for bioactive peptide prediction. BMC Bioinformatics. 25(1). 352–352. 7 indexed citations
5.
Wang, Xun, et al.. (2022). EFINet: Restoration for Low-Light Images via Enhancement-Fusion Iterative Network. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8486–8499. 48 indexed citations
6.
Dong, Jianfeng, et al.. (2022). Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning. Proceedings of the 30th ACM International Conference on Multimedia. 422–433. 14 indexed citations
7.
Ji, Wanting, Ruili Wang, Yan Tian, & Xun Wang. (2021). An attention based dual learning approach for video captioning. Applied Soft Computing. 117. 108332–108332. 27 indexed citations
8.
Yang, Tao, et al.. (2020). Evaluating facial recognition web services with adversarial and synthetic samples. Neurocomputing. 406. 378–385. 22 indexed citations
9.
Shu, Xiangbo, et al.. (2020). Deep multi-person kinship matching and recognition for family photos. Pattern Recognition. 105. 107342–107342. 15 indexed citations
10.
Wang, Xun, et al.. (2020). Improving Multiperson Pose Estimation by Mask-aware Deep Reinforcement Learning. ACM Transactions on Multimedia Computing Communications and Applications. 16(3). 1–18. 4 indexed citations
11.
Zong, Ming, Ruili Wang, Zhe Chen, et al.. (2020). Multi-cue based 3D residual network for action recognition. Neural Computing and Applications. 33(10). 5167–5181. 13 indexed citations
13.
Tian, Yan, et al.. (2017). Lane marking detection via deep convolutional neural network. Neurocomputing. 280. 46–55. 92 indexed citations
14.
Wang, Xun, et al.. (2017). Manifold Learning by Curved Cosine Mapping. IEEE Transactions on Knowledge and Data Engineering. 29(10). 2236–2248. 4 indexed citations
15.
Wang, Xun, Katsuhito Sudoh, & Masaaki Nagata. (2015). Empty Category Detection With Joint Context-Label Embeddings. 263–271. 2 indexed citations
16.
Wang, Xun. (2012). On Laboratory Construction in New Undergraduate Colleges. 1 indexed citations
17.
Ling, Yun, et al.. (2007). A Fuzzy Ontology and Its Application to Computer Games. 442–446. 1 indexed citations
18.
Wang, Xun, et al.. (2005). Infrared image synthesis for the wind-ruffled sea. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6043. 604306–604306.
19.
Wang, Xun, et al.. (2003). A divide and conquer deformable contour method with a model based searching algorithm. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(5). 738–751. 5 indexed citations
20.
Wang, Xun, Lei He, & William G. Wee. (2003). Constrained optimization: a geodesic snake approach. Proceedings - International Conference on Image Processing. 2. II–77. 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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