Huang Bai

530 citations
39 papers · 376 indexed · h-index 9
Topics
Sparse and Compressive Sensing Techniques (31 papers)Blind Source Separation Techniques (16 papers)Microwave Imaging and Scattering Analysis (11 papers)
Partner nations
ChinaUnited StatesBrazil

In The Last Decade

Huang Bai

33 papers receiving 365 citations

Peers

Huang Bai
Comparison fields: 5 of 38
  • Computational Mechanics 288
  • Biomedical Engineering 148
  • Signal Processing 122
  • Computer Vision and Pattern Recognition 119
  • Electrical and Electronic Engineering 113
Replace Mark Borgerding with:
Mark Borgerding United States
Shuhong Jiao China
Argyrios Zymnis United States
Gerald L. Fudge United States
Eli Shoshan Israel
Kfir Gedalyahu Israel
Justin Ziniel United States
Farzan Haddadi Iran
Yao Yu United States
Lorne Applebaum United States
Huang Bai relative to Mark Borgerding United States Mark Borgerding's profile →
Citations per field
00.5×6.9×
Mark Borgerding · 1×
Citations per year

Countries citing papers authored by Huang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Huang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huang Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Huang Bai. A scholar is included among the top collaborators of Huang Bai 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 Huang Bai. Huang Bai 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 2
2 0
3 3
4 1
5 5
6 17
7 0
8 8
9 0
10 12
11 2
12 28
13 2
14 49
15 2
16 1
17 1
18
Design of Optimal Measurement Matrix for Compressive Detection
4
19
Effect of SiC coating on ablation resistance of C/C composites under oxyacetylene torch flame
2
20 1

About Huang Bai

Huang Bai is a scholar working on Signal Processing, Computational Mechanics and Acoustics and Ultrasonics, having authored 39 papers that have together received 376 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (31 papers), Blind Source Separation Techniques (16 papers) and Microwave Imaging and Scattering Analysis (11 papers). The work is most often cited by research in Acoustics and Ultrasonics (17 citations), Computational Mechanics (288 citations) and Signal Processing (122 citations). Huang Bai has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Zhihui Zhu, Sheng Li, Liping Chang, Gang Li, Dehui Yang, Xiongxiong He, Gang Li, Qiuwei Li, Xiumei Li and Tao Hong. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Access.

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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