Miao Ma

981 citations
94 papers · 663 · h-index 12

Impact in

    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Video Surveillance and Tracking Methods
    • Image Enhancement Techniques
    • Remote-Sensing Image Classification

Papers in

Miao Ma

79 papers receiving 641 citations

Peers

Miao Ma
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 305
  • Media Technology 88
  • Artificial Intelligence 179
  • Computer Science Applications 20
  • Human-Computer Interaction 20
Replace Yiteng Pan with:
Yiteng Pan China
Shaiful Jahari Hashim Malaysia
Chunxiao Fan China
Aidong Men China
Tiago Carneiro Brazil
Christos Kyrkou Cyprus
Len Hamey Australia
Jingwei Chen China
Ni Zhang China
Xiaokai Yi China
Miao Ma relative to Yiteng Pan China Yiteng Pan's profile →
Citations per field
00.5×4.2×
Yiteng Pan · 1×
Citations per year

Countries citing papers authored by Miao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Miao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011149
2 201774
3 201946
4 202031
5 200422
6 202019
7 202118
8 201816
9 201914
10 202214
11 201813
12 202012
13 202210
14 201810
15 20249
16 20109
17 20209
18 20188
19 20218
20 20247

About Miao Ma

Miao Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 94 papers that have together received 663 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (14 papers), Advanced Measurement and Detection Methods (11 papers), Image and Signal Denoising Methods (10 papers), Image Processing Techniques and Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Medical Image Segmentation Techniques (7 papers), Remote Sensing and Land Use (6 papers) and Grey System Theory Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (305 citations), Media Technology (88 citations), Artificial Intelligence (179 citations), Computer Science Applications (20 citations) and Human-Computer Interaction (20 citations). Miao Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Min Guo, Yi Fan, Yilong Yin, Zhao Pei, Yanning Zhang, Yibin Li, Aleš Leonardis, Naresh Marturi, Rustam Stolkin and Yee‐Hong Yang. Their work appears in journals such as Pattern Recognition, Multimedia Tools and Applications, IEEE Transactions on Computational Social Systems, BioMed Research International and Electronics.

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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