Sichun Wang

1.6k citations
96 papers · 1.2k · h-index 17

Impact in

Papers in

Sichun Wang

88 papers receiving 1.1k citations

Peers

Sichun Wang
Comparison fields: 5 of 106
  • Signal Processing 214
  • Polymers and Plastics 207
  • Electrical and Electronic Engineering 484
  • Aerospace Engineering 172
  • Artificial Intelligence 189
Replace Chin‐Hsing Chen with:
Chin‐Hsing Chen Taiwan
Yan Ji China
Seungsoo Lee South Korea
Jianzhong Zhang China
Yong Hoon Lee South Korea
Takao Watanabe Japan
Salvatore Graziani Italy
Yan Yang China
Varun Jeoti Malaysia
Yinghua Lu China
Sichun Wang relative to Chin‐Hsing Chen Taiwan Chin‐Hsing Chen's profile →
Citations per field
00.5×10×15×18.5×
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-authors

The 25 scholars most cited alongside Sichun Wang, 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 Sichun Wang Line = papers co-authored together Sichun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001141
2 2014103
3 202382
4 202175
5 200672
6 201764
7 201744
8 201240
9 201333
10 202229
11 201127
12 202325
13 199922
14 202320
15 200619
16 200718
17 201216
18 200616
19 202415
20 202314

About Sichun Wang

Sichun Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Polymers and Plastics, Signal Processing and Artificial Intelligence, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (20 papers), Conducting polymers and applications (19 papers), Image and Signal Denoising Methods (13 papers), Advanced Adaptive Filtering Techniques (10 papers), Advanced Electrical Measurement Techniques (9 papers), Indoor and Outdoor Localization Technologies (9 papers), Rough Sets and Fuzzy Logic (8 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). The work is most often cited by research in Signal Processing (214 citations), Polymers and Plastics (207 citations), Electrical and Electronic Engineering (484 citations), Aerospace Engineering (172 citations) and Artificial Intelligence (189 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 Macromolecules, Polymer, IEEE Transactions on Signal Processing, Advanced Electronic Materials and Advanced Functional 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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