Yi Niu

2.1k citations
74 papers · 1.2k indexed · 1 hit paper · h-index 18
Topics
Handwritten Text Recognition Techniques (11 papers)Advanced Vision and Imaging (11 papers)Image and Signal Denoising Methods (10 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Yi Niu

69 papers receiving 1.1k citations

Hit Papers

GMSS: Graph-Based Multi-Task Self-Supervised Learning for...202220262023202420224080120

Peers

Yi Niu
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 714
  • Cognitive Neuroscience 301
  • Media Technology 223
  • Artificial Intelligence 199
  • Experimental and Cognitive Psychology 129
Replace Christoph Zetzsche with:
Christoph Zetzsche Germany
Gertjan J. Burghouts Netherlands
Bernd Michaelis Germany
Sebastian Bosse Germany
Changde Du China
Zicheng Zhang China
Martin Lades Germany
Mylène C. Q. Farias Brazil
Lijuan Duan China
Ziyu Wan China
Yi Niu relative to Christoph Zetzsche Germany Christoph Zetzsche's profile →
Citations per field
00.5×
Christoph Zetzsche · 1×
Citations per year

Countries citing papers authored by Yi Niu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Niu. A scholar is included among the top collaborators of Yi Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi Niu. Yi Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognitionbreakdown →
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15 137
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Arbitrarily-Oriented Text Recognition.
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20 4

About Yi Niu

Yi Niu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Acoustics and Ultrasonics, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (11 papers), Advanced Vision and Imaging (11 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (714 citations), Media Technology (223 citations) and Cognitive Neuroscience (301 citations). Yi Niu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Guangming Shi, Zhanzhan Cheng, Shiliang Pu, Shuigeng Zhou, Fan Bai, Fu Li, Boxun Fu, Fei Wu, Qiao Liang and Yunlu Xu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Optics Express.

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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