Yang Mi

433 citations
20 papers · 271 · 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 265 citations

Peers

Yang Mi
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 189
  • Media Technology 25
  • Artificial Intelligence 83
  • Human-Computer Interaction 10
  • Computer Graphics and Computer-Aided Design 6
Replace Hanno Ackermann with:
Hanno Ackermann Germany
Pavan Kumar Anasosalu Vasu United States
Tanwi Mallick United States
Scott Satkin United States
Yuheng Qiu United States
Yi Xie China
Graeme A. Jones United Kingdom
Zijie Zhuang China
V. M. Manikandan India
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 202177
2 201651
3 201930
4 201621
5 202018
6 202315
7 202411
8 201410
9
A Real-time Generalization and Multi-scale Visualization Method for POI Data in Volunteered Geographic Information
20157
10 20186
11 20224
12 20204
13 20194
14 20153
15 20193
16 20202
17 20222
18 20231
19 20121
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 271 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), Advanced Image Processing Techniques (2 papers), Hand Gesture Recognition Systems (2 papers), Advanced Vision and Imaging (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 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, Xinyi Wu, Zhenyao Wu, Jianxin Wu, Weiyue Wang, Tao Mei, Jingdong Wang, Weiyao Lin and Zhaojie Ju. Their work appears in journals such as IEEE Transactions on Image Processing, Applied Intelligence, Pattern Recognition Letters, Computers and Electronics in Agriculture and Solar Energy.

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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