Zefei Zhu

1.4k citations
86 papers · 1.1k indexed · h-index 18
Topics
Machine Learning and ELM (16 papers)Image Enhancement Techniques (15 papers)Industrial Vision Systems and Defect Detection (15 papers)
Partner nations
ChinaAustraliaJapan

In The Last Decade

Zefei Zhu

78 papers receiving 1.0k citations

Peers

Zefei Zhu
Comparison fields: 5 of 106
  • Biomedical Engineering 339
  • Mechanical Engineering 264
  • Computer Vision and Pattern Recognition 253
  • Artificial Intelligence 183
  • Computational Mechanics 147
Replace Libing Bai with:
Libing Bai China
Hongyuan Wang China
Ze Liu China
Xiaoyong Liu China
Weibo Zhang China
Minseok Kim South Korea
Wenlong Song China
Koichi OZAKI Japan
Yinxiao Li United States
Zhongbin Wang China
Zefei Zhu relative to Libing Bai China Libing Bai's profile →
Citations per field
00.5×3.1×
Libing Bai · 1×
Citations per year

Countries citing papers authored by Zefei Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Zefei Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zefei Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Zefei Zhu. A scholar is included among the top collaborators of Zefei Zhu 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 Zefei Zhu. Zefei Zhu 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
1 0
2 0
3 8
4 2
5 4
6 0
7 4
8 9
9 3
10 6
11 12
12 0
13 6
14 11
15 1
16 12
17 20
18 1
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Research on Comparison Analysis of Turbulent Models for Simulating Ax-symmetric Submerged Turbulent Gas-jet in Infinite Space
1

About Zefei Zhu

Zefei Zhu is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning and ELM (16 papers), Image Enhancement Techniques (15 papers) and Industrial Vision Systems and Defect Detection (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (253 citations), Industrial and Manufacturing Engineering (104 citations) and Biomedical Engineering (339 citations). Zefei Zhu has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Zhiyu Zhou, Ruijin Wang, Yaming Wang, Jiawei Wang, Jiang Wu, Jianxin Zhang, Junjie Wang, Zhen Zhang, Guannan Wang and Lizhong Huang. Their work appears in journals such as Langmuir, International Journal of Heat and Mass Transfer and Sensors and Actuators B Chemical.

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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