Sichun Wang

1.5k citations
94 papers · 1.1k indexed · h-index 17
Topics
Organic Electronics and Photovoltaics (20 papers)Conducting polymers and applications (19 papers)Image and Signal Denoising Methods (13 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Sichun Wang

86 papers receiving 1.1k citations

Peers

Sichun Wang
Comparison fields: 5 of 104
  • Electrical and Electronic Engineering 469
  • Signal Processing 215
  • Polymers and Plastics 201
  • Artificial Intelligence 190
  • Aerospace Engineering 172
Replace Chin‐Hsing Chen with:
Chin‐Hsing Chen Taiwan
Seungsoo Lee South Korea
Yan Ji China
Takao Watanabe Japan
Yong Hoon Lee South Korea
Cheng Peng China
Salvatore Graziani Italy
Kuang‐Yow Lian Taiwan
Varun Jeoti Malaysia
Yan Yang China
Sichun Wang relative to Chin‐Hsing Chen Taiwan Chin‐Hsing Chen's profile →
Citations per field
00.5×4.9×
Chin‐Hsing Chen · 1×
Citations per year

Countries citing papers authored by Sichun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sichun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sichun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sichun Wang. A scholar is included among the top collaborators of Sichun Wang 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 Sichun Wang. Sichun Wang 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 2
3 0
4 3
5 2
6 5
7 0
8 5
9 4
10 4
11 1
12 11
13 10
14 6
15 68
16 3
17 1
18 33
19 10
20
Threshold computation for the summation CFAR detector: non-overlapped versus overlapped FFT processing
7

About Sichun Wang

Sichun Wang is a scholar working on Signal Processing, Polymers and Plastics and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (20 papers), Conducting polymers and applications (19 papers) and Image and Signal Denoising Methods (13 papers). The work is most often cited by research in Signal Processing (215 citations), Polymers and Plastics (201 citations) and Electrical and Electronic Engineering (469 citations). Sichun Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Robert Inkol, Sreeraman Rajan, Henry Leung, Brad R. Jackson, T. Lo, Yanchun Han, Qiang Zhang, François Patenaude, Hongxiang Li and Lu Zhang. Their work appears in journals such as Advanced Functional Materials, Macromolecules and Polymer.

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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