Xianming Liu

7.0k citations
198 papers · 4.1k indexed · 1 hit paper · h-index 35
Topics
Advanced Image Processing Techniques (64 papers)Image and Signal Denoising Methods (51 papers)Advanced Vision and Imaging (34 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xianming Liu

184 papers receiving 4.0k citations

Hit Papers

BinsFormer: Revisiting Adaptive Bins for Monocular Depth ...202420262025202410203040

Peers

Xianming Liu
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 3.2k
  • Media Technology 1.3k
  • Artificial Intelligence 531
  • Computational Mechanics 287
  • Biomedical Engineering 212
Replace Deqing Sun with:
Deqing Sun United States
Dilip Krishnan United States
Jianmin Bao China
Yuming Fang China
Alain Horé Canada
Caiming Zhang China
Bineng Zhong China
Yongbing Zhang China
Xintao Wang China
Doron Tal United States
Xianming Liu relative to Deqing Sun United States Deqing Sun's profile →
Citations per field
00.5×5.5×
Deqing Sun · 1×
Citations per year

Countries citing papers authored by Xianming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xianming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xianming Liu. A scholar is included among the top collaborators of Xianming Liu 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 Xianming Liu. Xianming Liu 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
#WorkIndexed citations
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8 17
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14 25
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About Xianming Liu

Xianming Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 198 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (64 papers), Image and Signal Denoising Methods (51 papers) and Advanced Vision and Imaging (34 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Media Technology (1.3k citations) and Computer Graphics and Computer-Aided Design (95 citations). Xianming Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junjun Jiang, Debin Zhao, Jiayi Ma, Jiantao Zhou, Wen Gao, Xiangyang Ji, Thomas S. Huang, Deming Zhai, Yuan Yan Tang and Oscar C. Au. Their work appears in journals such as Nature Communications, Bioinformatics and Journal of Applied Physics.

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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