Yang Mi

416 citations
20 papers · 268 · h-index 8

Impact in

    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Image Enhancement Techniques
    • Advanced Image Processing Techniques
    • Advanced Vision and Imaging
    • Image and Signal Denoising Methods
    • Advanced Neural Network Applications

Papers in

Yang Mi

20 papers receiving 262 citations

Peers

Yang Mi
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 188
  • Media Technology 25
  • Artificial Intelligence 83
  • Human-Computer Interaction 10
  • Computer Graphics and Computer-Aided Design 6
Replace Hanno Ackermann with:
Hanno Ackermann Germany
Tanwi Mallick United States
Scott Satkin United States
Pavan Kumar Anasosalu Vasu United States
Graeme A. Jones United Kingdom
Zijie Zhuang China
Jorge García Spain
Yang Mi relative to Hanno Ackermann Germany Hanno Ackermann's profile →
Citations per field
00.5×1.5×2.5×
Hanno Ackermann · 1×
Citations per year

Countries citing papers authored by Yang Mi

Since Specialization
Citations

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

Fields of papers citing papers by Yang Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202174
2 201651
3 201930
4 201621
5 202018
6 202314
7 202411
8 201411
9
A Real-time Generalization and Multi-scale Visualization Method for POI Data in Volunteered Geographic Information
20157
10 20186
11 20224
12 20194
13 20204
14 20193
15 20153
16 20202
17 20222
18 20121
19 20231
20 20161

About Yang Mi

Yang Mi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing and Human-Computer Interaction, having authored 20 papers that have together received 268 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Anomaly Detection Techniques and Applications (7 papers), Gait Recognition and Analysis (4 papers), Face and Expression Recognition (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Hand Gesture Recognition Systems (2 papers), Video Surveillance and Tracking Methods (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Media Technology (25 citations), Artificial Intelligence (83 citations), Human-Computer Interaction (10 citations) and Computer Graphics and Computer-Aided Design (6 citations). Yang Mi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Song Wang, Hui Yin, Zhenyao Wu, Xinyi Wu, Jingdong Wang, Weiyao Lin, Jianxin Wu, Weiyue Wang, Tao Mei and Gongfa Li. Their work appears in journals such as IEEE Transactions on Image Processing, Applied Intelligence, Computers and Electronics in Agriculture, Solar Energy and Pattern Recognition Letters.

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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