Haipeng Shen

1.3k citations
23 papers · 757 indexed · 1 hit paper · h-index 9
Topics
Blind Source Separation Techniques (8 papers)Sparse and Compressive Sensing Techniques (6 papers)Statistical Methods and Inference (3 papers)

In The Last Decade

Haipeng Shen

18 papers receiving 723 citations

Hit Papers

Sparse principal component analysis via regularized low r...20072026201320192007100200300400

Peers

Haipeng Shen
Comparison fields: 5 of 123
  • Molecular Biology 192
  • Computational Mechanics 183
  • Statistics and Probability 152
  • Computer Vision and Pattern Recognition 147
  • Signal Processing 144
Replace Mudassir Uddin with:
Mudassir Uddin United Kingdom
Hai Zhang China
Onureena Banerjee United States
Ta‐Hsin Li United States
Jianhua Z. Huang United States
Cun-Hui Zhang United States
Pradeep Ravikumar United States
Xiangrong Yin United States
Rong Ge United States
S. Sundararajan India
Haipeng Shen relative to Mudassir Uddin United Kingdom Mudassir Uddin's profile →
Citations per field
00.5×3.3×
Mudassir Uddin · 1×
Citations per year

Countries citing papers authored by Haipeng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Haipeng Shen. A scholar is included among the top collaborators of Haipeng Shen 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 Haipeng Shen. Haipeng Shen 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 1
3 0
4 0
5 4
6 0
7 5
8 0
9 7
10 8
11 9
12 29
13 1
14 4
15 59
16 3
17 22
18 160
19 2
20
Sparse principal component analysis via regularized low rank matrix approximationbreakdown →
424

About Haipeng Shen

Haipeng Shen is a scholar working on Computational Mathematics, Signal Processing and Computational Mechanics, having authored 23 papers that have together received 757 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Computational Mathematics (24 citations), Statistics and Probability (152 citations) and Signal Processing (144 citations). Haipeng Shen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jianhua Z. Huang, J. S. Marron, Jianhua Z. Huang, Mihee Lee, Dan Shen, Young K. Truong, Hexuan Liu, Guang Guo, Lingling Wang and Xujun Chen. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

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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