Sihan Wen

411 citations
12 papers · 314 indexed · 1 hit paper · h-index 7
Topics
Aluminum Alloy Microstructure Properties (3 papers)Aluminum Alloys Composites Properties (3 papers)Image and Signal Denoising Methods (2 papers)
Partner nations
ChinaJapan

In The Last Decade

Sihan Wen

12 papers receiving 309 citations

Hit Papers

Rapid Gelation of Tough and Anti‐Swelling Hydrogels under...2022202620232024202250100150

Peers

Sihan Wen
Comparison fields: 5 of 48
  • Biomedical Engineering 166
  • Mechanical Engineering 129
  • Polymers and Plastics 71
  • Materials Chemistry 62
  • Aerospace Engineering 62
Replace Yucun Lou with:
Yucun Lou United States
Adrian Ehrenhofer Germany
Wenjin Xing Australia
Yaoting Xue China
Yuhua Cai China
Haowen Zheng China
Xiaoxia Jian China
Mattia Pancrazio Cosma Italy
Peng Ren China
Sihan Wen relative to Yucun Lou United States Yucun Lou's profile →
Citations per field
00.5×8.2×
Yucun Lou · 1×
Citations per year

Countries citing papers authored by Sihan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Sihan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sihan Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Sihan Wen. A scholar is included among the top collaborators of Sihan Wen 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 Sihan Wen. Sihan Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 2
3 1
4 26
5 10
6
Rapid Gelation of Tough and Anti‐Swelling Hydrogels under Mild Conditions for Underwater Communicationbreakdown →
196
7 26
8 5
9 26
10 9
11
Variational Autoencoder based Image Compression with Pyramidal Features and Context Entropy Model.
7
12 3

About Sihan Wen

Sihan Wen is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 12 papers that have together received 314 indexed citations. Recurring topics across this work include Aluminum Alloy Microstructure Properties (3 papers), Aluminum Alloys Composites Properties (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Molecular Medicine (50 citations), Polymers and Plastics (71 citations) and Biomedical Engineering (166 citations). Sihan Wen has collaborated with scholars based in China and Japan. Frequent co-authors include Wei Cui, Zhisen Wang, Rong Ran, Min Li, Menghan Pi, Xiaoyu Wang, Honglang Lu, Dong Du, Yuning Wang and Baohua Chang. Their work appears in journals such as Advanced Functional Materials, International Journal of Fatigue and Journal of Material Science and Technology.

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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