The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Youshen Xia sits on this spectrum.
This scientist: 96 publications — 9th percentile
9% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Youshen Xia sits on this spectrum.
This scientist: 36 D-Index — 29th percentile
29% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Youshen Xia is affiliated with Fuzhou University in China and specializes in the field of Computer Science with a focus on Computer Vision and Pattern Recognition. Their research spans multiple subfields including Computational Mechanics, Media Technology, Signal Processing, and Electrical and Electronic Engineering.
Their scholarly output includes several papers published in prominent venues, reflecting a diverse engagement with topics related to image processing and neural networks. Notable recent publications include:
Frequent coauthors contributing to their research activities comprise Liqing Huang, Jun Wang, Tiantian Ye, Qingshan Liu, and Andrzej Cichocki, indicating collaborative work across multiple projects and studies.
Xia's research interests primarily focus on several advanced topics within image processing and computational intelligence, including:
Publication venues frequently featuring Xia's work include Pattern Recognition, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, and IEEE Transactions on Neural Networks and Learning Systems. These journals reflect a consistent focus on computational imaging, neural computation, and image enhancement methodologies.
Among the research contributions, the 2024 paper on neurodynamic optimization surveys computational optimization techniques, while the 2023 paper explores matrix-form neural networks applied to convex optimization problems. This illustrates a methodological orientation towards matrix-variable optimization and neural network models applied in signal and image processing tasks.
Overall, Youshen Xia's academic profile is characterized by a multidisciplinary approach integrating computational intelligence with advanced image processing techniques, supported by collaborative efforts with noted coauthors in the domain.
Youshen Xia;H. Leung;Jun Wang
Youshen Xia
Youshen Xia;Jun Wang
Youshen Xia;Jun Wang
Yunong Zhang;Jun Wang;Youshen Xia
Youshen Xia;Jun Wang
Youshen Xia;Jun Wang
Youshen Xia;Gang Feng;Jun Wang
Youshen Xia;Jun Wang
Youshen Xia;Jun Wang
Youshen Xia;Gang Feng;Jun Wang
Youshen Xia
Youshen Xia
Y. S. Xia;J. Wang
Y.S. Xia;Gang Feng;Jun Wang
Xin-Yu Wu;You-Shen Xia;Jianmin Li;Wai-Kai Chen
Youshen Xia;Jun Wang
Youshen Xia;Jun Wang
Y. S. Xia
Songchuan Zhang;Youshen Xia;Jun Wang
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