Sha Wang

6.5k citations
171 papers · 5.7k · 1 hit paper · h-index 38

Impact in

Papers in

Sha Wang

167 papers receiving 5.6k citations

Sha Wang's Hit Papers

Muscle‐Inspired Highly Anisotropic, Strong, Ion‐Conductive Hydrogels 2018 · 570 citations
5700+2+5Years since publication100200300400500

Peers

Sha Wang
Comparison fields: 5 of 131
  • Biomaterials 959
  • Renewable Energy, Sustainability and the Environment 1.1k
  • Catalysis 447
  • Surfaces, Coatings and Films 322
  • Water Science and Technology 585
Replace Yujie Liu with:
Yujie Liu China
Xin Jia China
Jingjing Liu China
Quan Xu China
Liping Zhang China
Xinyu Zhao China
Ping Lü China
Qing Liu China
Ho‐Young Jung South Korea
Sha Wang relative to Yujie Liu China Yujie Liu's profile →
Citations per field
00.5×1.5×2.2×
Yujie Liu · 1×
Citations per year

Countries citing papers authored by Sha Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sha Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Muscle‐Inspired Highly Anisotropic, Strong, Ion‐Conductive Hydrogels
Hit paper breakdown →
2018570
2 2017351
3 2017271
4 2014255
5 2018219
6 2015214
7 2014182
8 2016127
9 2018114
10 2022105
11 2014103
12 2014102
13 2019102
14 202194
15 202189
16 201189
17 202187
18 202384
19 201381
20 201476

About Sha Wang

Sha Wang is a scholar working on Renewable Energy, Sustainability and the Environment, Biomedical Engineering, Water Science and Technology, Catalysis and Materials Chemistry, having authored 171 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (21 papers), Membrane Separation Technologies (14 papers), Nanopore and Nanochannel Transport Studies (13 papers), Metal-Organic Frameworks: Synthesis and Applications (12 papers), Advanced Sensor and Energy Harvesting Materials (12 papers), Thermochemical Biomass Conversion Processes (10 papers), Covalent Organic Framework Applications (10 papers) and Advancements in Battery Materials (9 papers). The work is most often cited by research in Biomaterials (959 citations), Renewable Energy, Sustainability and the Environment (1.1k citations), Catalysis (447 citations), Surfaces, Coatings and Films (322 citations) and Water Science and Technology (585 citations). Sha Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liangbing Hu, Yudi Kuang, Chaoji Chen, Emily Hitz, Zhenxia Zhao, Weiqing Kong, Run-Cang Sun, Linxin Zhong, Xinwen Peng and Chao Jia. Their work appears in journals such as Carbohydrate Polymers, International Journal of Biological Macromolecules, Fuel, ACS Applied Materials & Interfaces and Chemical Engineering Journal.

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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