Ye Zhao

2.0k total citations
71 papers, 1.5k citations indexed

About

Ye Zhao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ye Zhao has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 20 papers in Computational Mechanics and 20 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ye Zhao's work include Data Visualization and Analytics (29 papers), Computer Graphics and Visualization Techniques (20 papers) and Lattice Boltzmann Simulation Studies (16 papers). Ye Zhao is often cited by papers focused on Data Visualization and Analytics (29 papers), Computer Graphics and Visualization Techniques (20 papers) and Lattice Boltzmann Simulation Studies (16 papers). Ye Zhao collaborates with scholars based in United States, China and Iraq. Ye Zhao's co-authors include Jing Yang, Arie Kaufman, Xinyue Ye, Zhiyong Yuan, Klaus Mueller, Chao Ma, Zhe Fan, Feng Qiu, Wei Chen and Lei Wang and has published in prestigious journals such as PLoS ONE, IEEE Access and ACM Transactions on Graphics.

In The Last Decade

Ye Zhao

69 papers receiving 1.5k citations

Peers

Ye Zhao
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 759
  • Computational Mechanics 367
  • Computer Graphics and Computer-Aided Design 301
  • Transportation 288
  • Signal Processing 258
Replace Wanggen Wan with:
Wanggen Wan China
João L. D. Comba Brazil
Huub van de Wetering Netherlands
Hock Soon Seah Singapore
Alexander Amini United States
Natasha Gelfand United States
Thomas Sikora Germany
Geoff West Australia
Meiling Wang China
Wei Hong China
Wanggen Wan China View profile →
Citations per field, relative to Ye Zhao
Ye Zhao · 1×
Citations per year, relative to Ye Zhao
Ye Zhao · 1×

Countries citing papers authored by Ye Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ye Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Zhao. A scholar is included among the top collaborators of Ye Zhao 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 Ye Zhao. Ye Zhao 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 5
2 0
3 4
4 28
5 5
6 12
7 1
8 27
9 30
10 14
11 29
12 3
13 9
14 16
15 22
16 21
17 4
18 37
19 23
20 20

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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