Xiaotong Lu

642 citations
9 papers · 435 indexed · 1 hit paper · h-index 5
Topics
Advanced Neural Network Applications (3 papers)Advanced Image Processing Techniques (2 papers)Advanced Image and Video Retrieval Techniques (2 papers)

In The Last Decade

Xiaotong Lu

9 papers receiving 425 citations

Hit Papers

Denoising Prior Driven Deep Neural Network for Image Rest...20182026202020232018100200300

Peers

Xiaotong Lu
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 304
  • Media Technology 160
  • Computational Mechanics 76
  • Biomedical Engineering 69
  • Radiology, Nuclear Medicine and Imaging 66
Replace Peiyao Wang with:
Peiyao Wang China
Markku Mäkitalo Finland
Ramsin Khoshabeh United States
Michael Iliadis United States
Aurélien Bourquard Switzerland
Carlos Hinojosa Colombia
Claude Knaus Switzerland
Mejdi Trimeche Finland
Kristofor B. Gibson United States
Alper Güngör Türkiye
Xiaotong Lu relative to Peiyao Wang China Peiyao Wang's profile →
Citations per field
00.5×1.6×
Peiyao Wang · 1×
Citations per year

Countries citing papers authored by Xiaotong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotong Lu. A scholar is included among the top collaborators of Xiaotong Lu 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 Xiaotong Lu. Xiaotong Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 4
3 1
4 2
5 12
6 21
7 11
8 19
9
Denoising Prior Driven Deep Neural Network for Image Restorationbreakdown →
364

About Xiaotong Lu

Xiaotong Lu is a scholar working on Computer Vision and Pattern Recognition, Radiation and Media Technology, having authored 9 papers that have together received 435 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Advanced Image Processing Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Media Technology (160 citations), Computer Vision and Pattern Recognition (304 citations) and Acoustics and Ultrasonics (11 citations). Xiaotong Lu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Weisheng Dong, Guangming Shi, Fangfang Wu, Wotao Yin, Peiyao Wang, Zhonglong Zheng, Fan Yang, Jianyang Wang, Nan Bi and Yuan Tian. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

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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