Ming Cui

789 citations
23 papers · 660 · h-index 11

Impact in

Papers in

Ming Cui

20 papers receiving 627 citations

Peers

Ming Cui
Comparison fields: 5 of 94
  • Media Technology 181
  • Ocean Engineering 257
  • Environmental Engineering 231
  • Computer Vision and Pattern Recognition 235
  • Computer Graphics and Computer-Aided Design 19
Replace Ying Yu with:
Ying Yu China
Yijing Li China
John Femiani United States
Lu Qi China
Andy Lin United States
Zhengrong Li China
Zhipeng Deng China
Bo Ren China
Xiao Ke China
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Citations per field
00.5×9.8×
Ying Yu · 1×
Citations per year

Countries citing papers authored by Ming Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Cui Line = papers co-authored together Ming Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007268
2 202271
3 200870
4 201156
5 200951
6 201533
7 200726
8 201218
9 200917
10 200714
11 200714
12 20077
13 20243
14 20163
15 20122
16 20102
17 20241
18
Image Denoising Method in Non-subsampled Bandelets Domain
20101
19 20111
20 20121

About Ming Cui

Ming Cui is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Atomic and Molecular Physics, and Optics, Computational Mechanics and Artificial Intelligence, having authored 23 papers that have together received 660 indexed citations. Recurring topics across this work include Color Science and Applications (3 papers), 3D Shape Modeling and Analysis (3 papers), Remote-Sensing Image Classification (3 papers), Advanced Image Fusion Techniques (2 papers), Image Enhancement Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Consumer Perception and Purchasing Behavior (2 papers) and Automated Road and Building Extraction (2 papers). The work is most often cited by research in Media Technology (181 citations), Ocean Engineering (257 citations), Environmental Engineering (231 citations), Computer Vision and Pattern Recognition (235 citations) and Computer Graphics and Computer-Aided Design (19 citations). Ming Cui has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Peter Wonka, Jiuxiang Hu, John Femiani, Anshuman Razdan, A. Razdan, Jing Hu, Yanfei Zhong, Qiqi Zhu, Liangpei Zhang and Nicole Davi. Their work appears in journals such as The Visual Computer, IEEE Transactions on Geoscience and Remote Sensing, Climate Research, Pattern Recognition Letters and Theriogenology.

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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