The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mai Xu sits on this spectrum.
This scientist: 190 publications — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mai Xu sits on this spectrum.
This scientist: 47 D-Index — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Mai Xu is affiliated with Beihang University in China and specializes in computer science, with a strong focus on computer vision and pattern recognition. They have contributed extensively to subfields such as media technology, radiology, nuclear medicine and imaging, artificial intelligence, and signal processing.
The main topics of Mai Xu's research include advanced image processing techniques, image and video quality assessment, visual attention and saliency detection, advanced vision and imaging, image and signal denoising methods, advanced data compression techniques, and retinal imaging and analysis.
Mai Xu has authored numerous papers published in prominent venues, reflecting their active role in advancing their field. Notable recent publications include:
Mai Xu frequently publishes in specialized and high-impact journals. Their primary publication venues include:
The scientist collaborates regularly with several coauthors, reflecting interdisciplinary and collective research efforts. Frequent coauthors include:
Mai Xu's work is rooted in the areas of signal processing and image analysis, focusing on enhancing both the quality and computational methods for visual data. They have contributed to methodologies involving video/image perception, compression, and fusion, showing intersections with machine learning and deep learning paradigms.
Mai Xu;Tianyi Li;Zulin Wang;Xin Deng
Ren Yang;Mai Xu;Zulin Wang;Tianyi Li
Hanruo Liu;Liu Li;I. Michael Wormstone;Chunyan Qiao
Mai Xu;Chen Li;Shanyi Zhang;Patrick Le Callet
Liu Li;Mai Xu;Hanruo Liu;Yang Li
Liu Li;Mai Xu;Xiaofei Wang;Lai Jiang
Mai Xu;Yuhang Song;Jianyi Wang;Minglang Qiao
Zhenyu Guan;Qunliang Xing;Mai Xu;Ren Yang
Yanan Wei;Zulin Wang;Mai Xu
Ren Yang;Mai Xu;Tie Liu;Zulin Wang
Lai Jiang;Mai Xu;Tie Liu;Minglang Qiao
Tianyi Li;Mai Xu;Ce Zhu;Ren Yang
Jing Yang;Mai Xu;Wei Zhao;Baoguo Xu
Zhengyong Wang;Liquan Shen;Mei Yu;Kun Wang
Tianyi Li;Mai Xu;Ren Yang;Xiaoming Tao
Mai Xu;Chen Li;Zhenzhong Chen;Zulin Wang
Tianyi Li;Mai Xu;Runzhi Tang;Ying Chen
Jingxian Liu;Jingxian Liu;Zulin Wang;Mai Xu
Ren Yang;Mai Xu;Zulin Wang
Chen Li;Mai Xu;Xinzhe Du;Zulin Wang
Mai Xu;Xin Deng;Shengxi Li;Zulin Wang
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