Yong-Ping Zhao

2.6k total citations
114 papers, 2.0k citations indexed

About

Yong-Ping Zhao is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yong-Ping Zhao has authored 114 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 39 papers in Control and Systems Engineering and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yong-Ping Zhao's work include Face and Expression Recognition (28 papers), Machine Learning and ELM (26 papers) and Fault Detection and Control Systems (23 papers). Yong-Ping Zhao is often cited by papers focused on Face and Expression Recognition (28 papers), Machine Learning and ELM (26 papers) and Fault Detection and Control Systems (23 papers). Yong-Ping Zhao collaborates with scholars based in China, United States and Saudi Arabia. Yong-Ping Zhao's co-authors include Sun Jian-guo, Qisong Wang, Chunbo Zhu, Ou Bai, Yongqiang Li, Yunwang Ge, Chao Wu, Zhifeng Ye, Yongqiang Li and Shangfei Wang and has published in prestigious journals such as PLoS ONE, Applied Energy and IEEE Transactions on Image Processing.

In The Last Decade

Yong-Ping Zhao

109 papers receiving 1.9k citations

Peers

Yong-Ping Zhao
Comparison fields: 5 of 119
  • Control and Systems Engineering 694
  • Artificial Intelligence 567
  • Computer Vision and Pattern Recognition 446
  • Experimental and Cognitive Psychology 336
  • Electrical and Electronic Engineering 320
Replace Baoye Song with:
Baoye Song China
Weihua Cao China
Sang Woo Kim South Korea
Cheng‐Jian Lin Taiwan
Luefeng Chen China
Bo Cheng China
Bing‐Fei Wu Taiwan
Jiquan Ngiam United States
Syed Saad Azhar Ali Malaysia
Donglian Qi China
Baoye Song China View profile →
Citations per field, relative to Yong-Ping Zhao
Yong-Ping Zhao · 1×
Citations per year, relative to Yong-Ping Zhao
Yong-Ping Zhao · 1×

Countries citing papers authored by Yong-Ping Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yong-Ping Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong-Ping Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Ping Zhao. A scholar is included among the top collaborators of Yong-Ping 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 Yong-Ping Zhao. Yong-Ping 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 1
2 1
3 1
4 4
5 9
6 13
7 3
8 1
9 1
10 55
11 1
12 27
13 2
14 5
15 133
16
Performance deterioration mitigation control of aero-engine
10
17 8
18
Online Parsimonious Least Squares Support Vector Regression and Its Application
2
19 37
20
Study on Signal Coding Mode of TWACS
0

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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