Yide Ma

5.1k citations
218 papers · 4.0k · h-index 32

Impact in

    • Advanced Image Fusion Techniques
    • Image Processing Techniques and Applications
    • Remote-Sensing Image Classification
    • Image and Signal Denoising Methods
    • Image Enhancement Techniques
    • Chaos-based Image/Signal Encryption

Papers in

Yide Ma

202 papers receiving 3.9k citations

Peers

Yide Ma
Comparison fields: 5 of 129
  • Media Technology 1.5k
  • Computer Vision and Pattern Recognition 2.3k
  • Computational Mathematics 29
  • Artificial Intelligence 1.1k
  • Radiology, Nuclear Medicine and Imaging 617
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Citations per field
00.5×1.5×2.1×
Zuoyong Li · 1×
Citations per year

Countries citing papers authored by Yide Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yide Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yide Ma, 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 Yide Ma Line = papers co-authored together Yide Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005213
2 2009206
3 2007197
4 2010194
5 2011163
6 2021155
7 2015139
8 2009130
9 201895
10 201586
11 201458
12 201652
13 202152
14 202151
15 201850
16 201550
17 202349
18 201649
19 201048
20 201548

About Yide Ma

Yide Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 218 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (45 papers), Image and Signal Denoising Methods (43 papers), AI in cancer detection (36 papers), Image Processing Techniques and Applications (33 papers), Medical Image Segmentation Techniques (24 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), Image Retrieval and Classification Techniques (16 papers) and Blind Source Separation Techniques (15 papers). The work is most often cited by research in Media Technology (1.5k citations), Computer Vision and Pattern Recognition (2.3k citations), Computational Mathematics (29 citations), Artificial Intelligence (1.1k citations) and Radiology, Nuclear Medicine and Imaging (617 citations). Yide Ma has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Zhaobin Wang, Jing Lian, Kun Zhan, Qing Liu, Yunliang Qi, Jason J. Gu, Shouliang Li, Jizhao Liu, Meng Lou and Weiying Xie. Their work appears in journals such as Neurocomputing, Multimedia Tools and Applications, Archives of Computational Methods in Engineering, Biomedical Signal Processing and Control and Optik.

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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