Zhenghao Yu

659 total citations
9 papers, 499 citations indexed

About

Zhenghao Yu is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Zhenghao Yu has authored 9 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Civil and Structural Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Zhenghao Yu's work include Infrastructure Maintenance and Monitoring (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Advanced Neural Network Applications (3 papers). Zhenghao Yu is often cited by papers focused on Infrastructure Maintenance and Monitoring (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Advanced Neural Network Applications (3 papers). Zhenghao Yu collaborates with scholars based in China. Zhenghao Yu's co-authors include Qian Xie, Jun Wang, Dawei Li, Jinxuan Xu, Xiaoxi Gong, Dawei Li, Jun Zhou, Qiaoyun Wu and Yuanpeng Liu and has published in prestigious journals such as Automation in Construction, IEEE Transactions on Instrumentation and Measurement and Advanced Engineering Informatics.

In The Last Decade

Zhenghao Yu

8 papers receiving 490 citations

Peers

Zhenghao Yu

CSE

IME

CVPR

ME

EE

Jinxuan Xu China

Dawei Li China

Qiaoyun Wu China

Dehua Wei China

Wenxian Feng China

Chaobo Zhang China

Xiaoxi Gong China

Varun Kasireddy United States

Hristina Georgieva Bulgaria

Xiangxiong Kong United States

Jinxuan Xu China

Zhenghao Yu

217 ×0.9

CSE

106 ×0.6

IME

93 ×0.6

CVPR

65 ×0.6

ME

55 ×0.9

EE

Citations per year, relative to Zhenghao Yu Zhenghao Yu (= 1×) peers Jinxuan Xu

Countries citing papers authored by Zhenghao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Zhenghao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenghao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenghao Yu. A scholar is included among the top collaborators of Zhenghao Yu 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 Zhenghao Yu. Zhenghao Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Yu, Zhenghao. (2024). Research review on wireless charging technology of new energy electric vehicles. 1(7). 1 indexed citations

2.

Liu, Yuanpeng, et al.. (2021). Corrections to “Density-Invariant Registration of Multiple Scans for Aircraft Measurement” [2021 Art. no. 7000715]. IEEE Transactions on Instrumentation and Measurement. 70. 1–1.

3.

Li, Dawei, et al.. (2021). Tiny Defect Detection in High-Resolution Aero-Engine Blade Images via a Coarse-to-Fine Framework. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 73 indexed citations

4.

Yu, Zhenghao, et al.. (2021). Machine vision problem for fast recognition of surface defects of thermoelectric cooler components based on deep learning method. Journal of Physics Conference Series. 2003(1). 12007–12007. 3 indexed citations

5.

Li, Dawei, Qian Xie, Zhenghao Yu, et al.. (2021). Sewer pipe defect detection via deep learning with local and global feature fusion. Automation in Construction. 129. 103823–103823. 55 indexed citations

6.

Liu, Yuanpeng, et al.. (2020). Density-Invariant Registration of Multiple Scans for Aircraft Measurement. IEEE Transactions on Instrumentation and Measurement. 70. 1–15. 16 indexed citations

7.

Li, Dawei, Qian Xie, Xiaoxi Gong, et al.. (2020). Automatic defect detection of metro tunnel surfaces using a vision-based inspection system. Advanced Engineering Informatics. 47. 101206–101206. 172 indexed citations

8.

Xie, Qian, Dawei Li, Jinxuan Xu, Zhenghao Yu, & Jun Wang. (2019). Automatic Detection and Classification of Sewer Defects via Hierarchical Deep Learning. IEEE Transactions on Automation Science and Engineering. 16(4). 1836–1847. 137 indexed citations

9.

Xie, Qian, Dawei Li, Zhenghao Yu, Jun Zhou, & Jun Wang. (2019). Detecting Trees in Street Images via Deep Learning With Attention Module. IEEE Transactions on Instrumentation and Measurement. 69(8). 5395–5406. 42 indexed citations

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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