Mingqiang Yang

1.0k citations
17 papers · 207 · h-index 6

Impact in

Papers in

    • Medical Image Segmentation Techniques 7
    • Image and Object Detection Techniques 3
    • Image and Signal Denoising Methods 3
    • Advanced Vision and Imaging 2
    • Video Surveillance and Tracking Methods 2
    • Image Retrieval and Classification Techniques 2
    • Image Processing Techniques and Applications 3

Mingqiang Yang

15 papers receiving 200 citations

Peers

Mingqiang Yang
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 89
  • Human-Computer Interaction 19
  • Experimental and Cognitive Psychology 33
  • Signal Processing 19
  • Artificial Intelligence 42
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Tengfei Xing China
M. Balasubramanian India
Qingcheng Lin China
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Citations per field
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Citations per year

Countries citing papers authored by Mingqiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingqiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201550
2 201949
3 202340
4 202323
5 201711
6 201210
7 20115
8
Line Detection Based on Beamlet Transform
20074
9 20253
10 20063
11
Registration of Multimodal Brain Medical Images Based on Improved Optical Flow Model
20122
12 20102
13 20102
14 20061
15 20101
16 20071
17 20100

About Mingqiang Yang

Mingqiang Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Electrical and Electronic Engineering and Automotive Engineering, having authored 17 papers that have together received 207 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Image and Object Detection Techniques (3 papers), Image Processing Techniques and Applications (3 papers), Image and Signal Denoising Methods (3 papers), Biometric Identification and Security (2 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Human-Computer Interaction (19 citations), Experimental and Cognitive Psychology (33 citations), Signal Processing (19 citations) and Artificial Intelligence (42 citations). Mingqiang Yang has collaborated with scholars based in China, Italy and France. Frequent co-authors include Qinghe Zheng, Nan Jiang, Xinyu Tian, Rui Yan, Xianye Ben, Peng Zhang, Weidong Zhou, Sergio Saponara, Kidiyo Kpalma and Yao Ding. Their work appears in journals such as Science China Materials, Journal of Intelligent & Fuzzy Systems, Neural Computing and Applications, Biomedical Signal Processing and Control and Expert Systems with Applications.

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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