Suhao Wang

604 citations
21 papers · 442 · h-index 13

Impact in

Papers in

Suhao Wang

18 papers receiving 440 citations

Peers

Suhao Wang
Comparison fields: 5 of 55
  • Surfaces, Coatings and Films 80
  • Biomedical Engineering 235
  • Mechanics of Materials 115
  • Human-Computer Interaction 20
  • Polymers and Plastics 51
Replace Hohyun Keum with:
Hohyun Keum United States
Yin Huang China
Aurélie Hourlier‐Fargette France
Jonas Groten Austria
Wengan Wang China
Dirk‐M. Drotlef Germany
David Coulon France
Jeffrey D. Eisenhaure United States
Sin Kwon South Korea
Suhao Wang relative to Hohyun Keum United States Hohyun Keum's profile →
Citations per field
00.5×3.4×
Hohyun Keum · 1×
Citations per year

Countries citing papers authored by Suhao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Suhao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 202151
3 202243
4 202135
5 201826
6 202025
7 202425
8 201624
9 202421
10 201819
11 202416
12 202413
13 202312
14 20246
15 20255
16 20224
17 20243
18 20243
19 20240
20 20240

About Suhao Wang

Suhao Wang is a scholar working on Biomedical Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Mechanics of Materials and Cognitive Neuroscience, having authored 21 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (8 papers), Neuroscience and Neural Engineering (4 papers), Adhesion, Friction, and Surface Interactions (4 papers), Fusion materials and technologies (3 papers), Graphene research and applications (2 papers), Nuclear Materials and Properties (2 papers), Interactive and Immersive Displays (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (80 citations), Biomedical Engineering (235 citations), Mechanics of Materials (115 citations), Human-Computer Interaction (20 citations) and Polymers and Plastics (51 citations). Suhao Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jizhou Song, Hongyu Luo, Changhong Linghu, Shun Zhang, Shuang Nie, Kaiming Feng, Chengjun Wang, Xiaoyu Wang, Chenglong Li and Liyin Shen. Their work appears in journals such as Fusion Engineering and Design, Advanced Functional Materials, Proceedings of the National Academy of Sciences, npj Flexible Electronics and IEEE Transactions on Nanotechnology.

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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