Mingyang Ma

2.2k total citations · 1 hit paper
94 papers, 1.5k citations indexed

About

Mingyang Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Mingyang Ma has authored 94 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 28 papers in Media Technology and 18 papers in Signal Processing. Recurrent topics in Mingyang Ma's work include Remote-Sensing Image Classification (23 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Video Analysis and Summarization (15 papers). Mingyang Ma is often cited by papers focused on Remote-Sensing Image Classification (23 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Video Analysis and Summarization (15 papers). Mingyang Ma collaborates with scholars based in China, Australia and United States. Mingyang Ma's co-authors include Shaohui Mei, Chao Song, Fulin Xu, Shuai Wan, Zhiyong Wang, Dagan Feng, Shun Zhang, Junhui Hou, Xiaoning Chen and Qian Du and has published in prestigious journals such as Advanced Materials, Langmuir and Journal of Cleaner Production.

In The Last Decade

Mingyang Ma

86 papers receiving 1.5k citations

Hit Papers

Hyperspectral Image Classification Using Group-Aware Hier... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers

Mingyang Ma
Comparison fields: 5 of 136
  • Computer Vision and Pattern Recognition 554
  • Media Technology 535
  • Artificial Intelligence 211
  • Atmospheric Science 196
  • Signal Processing 188
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Ning Zhang China
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Weiwei Song China
Sen Li China
Zheng Chen China
Yuan Zhou China
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Jin Zhao China
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Citations per field, relative to Mingyang Ma
Mingyang Ma · 1×
Citations per year, relative to Mingyang Ma
Mingyang Ma · 1×

Countries citing papers authored by Mingyang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyang Ma

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 4
4 5
5 1
6 4
7 3
8 13
9 7
10 1
11 3
12 2
13 8
14 22
15 14
16 3
17 30
18
Hyperspectral Image Classification Using Group-Aware Hierarchical Transformer breakdown →
252
19 18
20 18

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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