Yi Bin

1.8k citations
80 papers · 1.0k indexed · h-index 15

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Video Analysis and Summarization
    • Generative Adversarial Networks and Image Synthesis
    • Domain Adaptation and Few-Shot Learning
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

Yi Bin

73 papers receiving 1.0k citations

Peers

Yi Bin
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 592
  • Artificial Intelligence 387
  • Health Informatics 10
  • Software 18
  • Media Technology 37
Replace Olac Fuentes with:
Olac Fuentes United States
Frédéric Bastien Canada
Kun Wei China
Matthias Humt Germany
D.W. Ruck United States
Xu Jia China
Ilya Loshchilov Switzerland
Zhongchao Shi China
Yi Bin relative to Olac Fuentes United States Olac Fuentes's profile →
Citations per field
00.5×
Olac Fuentes · 1×
Citations per year

Countries citing papers authored by Yi Bin

Since Specialization
Citations

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

Fields of papers citing papers by Yi Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018207
2 2018163
3 202077
4 201649
5 202132
6 201731
7 202130
8 202330
9 202229
10 201823
11 201723
12 202319
13 201917
14 201516
15 201714
16 202114
17 201512
18 202112
19 202111
20 202011

About Yi Bin

Yi Bin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Oceanography and Astronomy and Astrophysics, having authored 80 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Multimodal Machine Learning Applications (14 papers), GNSS positioning and interference (9 papers), Geophysics and Gravity Measurements (8 papers), Ionosphere and magnetosphere dynamics (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (592 citations), Artificial Intelligence (387 citations), Health Informatics (10 citations), Software (18 citations) and Media Technology (37 citations). Yi Bin has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yang Yang, Heng Tao Shen, Fumin Shen, Ning Xie, Xuelong Li, Jie Zhou, Yanli Ji, Alan Hanjalić, Guoqing Wang and Xing Xu. Their work appears in journals such as IEEE Transactions on Multimedia, Frontiers in Medicine, IEEE Transactions on Circuits and Systems for Video Technology, Advances in Space Research and Remote Sensing.

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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