Hua Yang

2.9k citations
147 papers · 2.1k indexed · h-index 24
Topics
Advanced Vision and Imaging (28 papers)Industrial Vision Systems and Defect Detection (20 papers)Image Processing Techniques and Applications (20 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentAdvanced Energy Materials
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Hua Yang

129 papers receiving 2.0k citations

Peers

Hua Yang
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 750
  • Industrial and Manufacturing Engineering 558
  • Electrical and Electronic Engineering 341
  • Computational Mechanics 309
  • Media Technology 253
Replace Zhongwei Li with:
Zhongwei Li China
Chandrika Kamath United States
Ding Liu China
İlhan Aydın Türkiye
Wenlong Li China
Antonio Pietrosanto Italy
Paolo Valigi Italy
Weiwei Wang China
Lin Wang China
Hua Yang relative to Zhongwei Li China Zhongwei Li's profile →
Citations per field
00.5×3.0×
Zhongwei Li · 1×
Citations per year

Countries citing papers authored by Hua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Yang. A scholar is included among the top collaborators of Hua Yang 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 Hua Yang. Hua Yang 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 2
4 2
5 0
6 2
7 6
8 6
9 4
10 10
11 28
12 34
13 12
14 6
15 3
16 13
17 20
18
Practical speed estimation method for induction motor vector control system using digital signal processor(DSP)
3
19
The influence for field orient of rotor resistance in induction motor
0
20
The application of magnetic encoders in induction motor vector control
5

About Hua Yang

Hua Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 147 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (28 papers), Industrial Vision Systems and Defect Detection (20 papers) and Image Processing Techniques and Applications (20 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (558 citations), Computer Vision and Pattern Recognition (750 citations) and Media Technology (253 citations). Hua Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhouping Yin, Shuang Mei, Kaiyou Song, Yong Lee, Yifan Chen, Zhengnan Lu, YongAn Huang, Biplab Sikdar, Bo Tao and Sulaman Muhammad. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Advanced Energy Materials.

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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