Yezhou Yang

4.6k citations
91 papers · 2.2k · 1 hit paper · h-index 24

Impact in

Papers in

    • Multimodal Machine Learning Applications 35
    • Human Pose and Action Recognition 23
    • Advanced Image and Video Retrieval Techniques 20
    • Advanced Neural Network Applications 10
    • Domain Adaptation and Few-Shot Learning 16
    • Anomaly Detection Techniques and Applications 10

Yezhou Yang

84 papers receiving 2.1k citations

Yezhou Yang's Hit Papers

Neural Style Transfer: A Review 2019 · 468 citations
4680+2+4Years since publication100200300400

Peers

Yezhou Yang
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 1.6k
  • Computer Graphics and Computer-Aided Design 115
  • Artificial Intelligence 815
  • Human-Computer Interaction 123
  • Control and Systems Engineering 305
Replace Tao Mei with:
Tao Mei China
Bo Dai China
Tao Chen China
Yanghao Li China
Joseph J. Lim United States
Ivan V. Bajić Canada
Bohyung Han South Korea
Yingwei Pan China
Lu Fang China
Qi She Hong Kong
Yezhou Yang relative to Tao Mei China Tao Mei's profile →
Citations per field
00.5×2.9×
Tao Mei · 1×
Citations per year

Countries citing papers authored by Yezhou Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yezhou Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural Style Transfer: A Review
Hit paper breakdown →
2019468
2
Corpus-Guided Sentence Generation of Natural Images
2011221
3 2018140
4 2015101
5 202285
6 202078
7 201761
8 201760
9 201346
10 201543
11 202039
12 202137
13 201835
14 201835
15 201534
16 201833
17 201732
18 202030
19 201829
20 201727

About Yezhou Yang

Yezhou Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Human-Computer Interaction and Automotive Engineering, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (35 papers), Human Pose and Action Recognition (23 papers), Advanced Image and Video Retrieval Techniques (20 papers), Domain Adaptation and Few-Shot Learning (16 papers), Robot Manipulation and Learning (12 papers), Anomaly Detection Techniques and Applications (10 papers), Advanced Neural Network Applications (10 papers) and Hand Gesture Recognition Systems (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (115 citations), Artificial Intelligence (815 citations), Human-Computer Interaction (123 citations) and Control and Systems Engineering (305 citations). Yezhou Yang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yiannis Aloimonos, Mingli Song, Cornelia Fermüller, Yongcheng Jing, Zunlei Feng, Yizhou Yu, Jingwen Ye, Ching L. Teo, Chitta Baral and Hal Daumé. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, Neurocomputing and Frontiers in Oncology.

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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