Yatong Zhou

938 total citations
71 papers, 590 citations indexed

About

Yatong Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yatong Zhou has authored 71 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Yatong Zhou's work include Neural Networks and Applications (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Blind Source Separation Techniques (8 papers). Yatong Zhou is often cited by papers focused on Neural Networks and Applications (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Blind Source Separation Techniques (8 papers). Yatong Zhou collaborates with scholars based in China, Taiwan and United States. Yatong Zhou's co-authors include Chaojun Shi, Guizhong Liu, Lingling Li, Enqing Dong, Jingfei He, Kuo-Ping Lin, Jiancheng Sun, Xiaodi Zhang, Ching-Hsin Wang and Kuei‐Hsiang Chao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Yatong Zhou

64 papers receiving 557 citations

Peers

Yatong Zhou
Comparison fields: 5 of 85
  • Artificial Intelligence 214
  • Electrical and Electronic Engineering 158
  • Computer Vision and Pattern Recognition 145
  • Signal Processing 98
  • Automotive Engineering 74
Replace Minghu Wu with:
Minghu Wu China
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Oswaldo Ludwig Portugal
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Minghu Wu China View profile →
Citations per field, relative to Yatong Zhou
Yatong Zhou · 1×
Citations per year, relative to Yatong Zhou
Yatong Zhou · 1×

Countries citing papers authored by Yatong Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yatong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yatong Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yatong Zhou. A scholar is included among the top collaborators of Yatong Zhou 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 Yatong Zhou. Yatong Zhou 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
# Work Indexed citations
1 1
2 8
3 1
4 14
5 14
6 3
7 3
8 1
9 7
10 7
11 1
12 20
13 18
14
From Gaussian Processes to the Mixture of Gaussian Processes:A Survey
2
15
The Method of Attribute Weight Distribution in multi-attribute system
1
16
A Comparison of the Dehydration Processes of Al-, Fe2+, and Mg-Sulfates Under Mars Relevant Pressures and Three Temperatures
1
17 40
18
Application of a Scaling Kernel in Signal Approximation of Least Squares Support Vector Machines
3
19 1
20 2

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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