Ruomei Yan

801 citations
7 papers · 631 indexed · 1 hit paper · h-index 6
Topics
Image and Signal Denoising Methods (6 papers)Advanced Image Fusion Techniques (5 papers)Image Processing Techniques and Applications (3 papers)

In The Last Decade

Ruomei Yan

6 papers receiving 617 citations

Hit Papers

From Heuristic Optimization to Dictionary Learning: A Rev...20132026201720212013100200300

Peers

Ruomei Yan
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 559
  • Media Technology 345
  • Computational Mechanics 88
  • Biomedical Engineering 50
  • Artificial Intelligence 35
Replace Weihong Guo with:
Weihong Guo United States
Pavel Mrázek⋆ Germany
Mohammad Tofighi Türkiye
Jiangxin Dong China
Ramsin Khoshabeh United States
Peiyao Wang China
Xiao-Jiao Mao China
A.J. Patti United States
Dahua Gao China
Mauricio Delbracio United States
Ruomei Yan relative to Weihong Guo United States Weihong Guo's profile →
Citations per field
00.5×1.5×2.5×
Weihong Guo · 1×
Citations per year

Countries citing papers authored by Ruomei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ruomei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruomei Yan

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 98
3
From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithmsbreakdown →
303
4 20
5 24
6 146
7 40

About Ruomei Yan

Ruomei Yan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Cancer Research, having authored 7 papers that have together received 631 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Advanced Image Fusion Techniques (5 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Media Technology (345 citations), Computer Vision and Pattern Recognition (559 citations) and Computational Mathematics (4 citations). Ruomei Yan has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Ling Shao, Yan Liu, Xuelong Li, J. Klijn, Li Liu, Wenxing Hu and Lixin Guan. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics and Signal Processing.

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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