Dehui Yang

528 citations
18 papers · 381 · h-index 6

Impact in

Papers in

Dehui Yang

16 papers receiving 373 citations

Peers

Dehui Yang
Comparison fields: 5 of 53
  • Computational Mechanics 184
  • Signal Processing 97
  • Acoustics and Ultrasonics 7
  • Electrical and Electronic Engineering 171
  • Computer Vision and Pattern Recognition 58
Replace Guanghui Zhao with:
Guanghui Zhao China
Tianpeng Liu China
Ling Hong China
Amir Masoud Molaei United Kingdom
Tim Lin Canada
Xuyang Chen China
Jun Tao China
Xia Bai China
Shuaiqi Liu China
Dehui Yang relative to Guanghui Zhao China Guanghui Zhao's profile →
Citations per field
00.5×2×3×3.5×
Guanghui Zhao · 1×
Citations per year

Countries citing papers authored by Dehui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dehui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dehui Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dehui Yang Line = papers co-authored together Dehui Yang links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013137
2 202370
3 201854
4 201653
5 202328
6 202118
7 20174
8 20243
9 20173
10 20232
11 20172
12 20162
13 20162
14 20251
15 20221
16 20111
17 20250
18 20250

About Dehui Yang

Dehui Yang is a scholar working on Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering, Civil and Structural Engineering and Signal Processing, having authored 18 papers that have together received 381 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Microwave Imaging and Scattering Analysis (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Structural Health Monitoring Techniques (3 papers), Advancements in Battery Materials (3 papers), Blind Source Separation Techniques (2 papers), Advanced Battery Materials and Technologies (2 papers) and Supercapacitor Materials and Fabrication (2 papers). The work is most often cited by research in Computational Mechanics (184 citations), Signal Processing (97 citations), Acoustics and Ultrasonics (7 citations), Electrical and Electronic Engineering (171 citations) and Computer Vision and Pattern Recognition (58 citations). Dehui Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael B. Wakin, Gongguo Tang, Zhihui Zhu, Liping Chang, Gang Li, Huang Bai, Hui Wang, Shenghua Ma, Guanghui Yuan and Beibei Wang. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, IEEE Geoscience and Remote Sensing Letters, Advanced Functional Materials and The Science of The Total Environment.

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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