Yangsi Liu

1.1k total citations
32 papers, 696 citations indexed

About

Yangsi Liu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Yangsi Liu has authored 32 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 18 papers in Electrical and Electronic Engineering and 16 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Yangsi Liu's work include Advanced Photocatalysis Techniques (16 papers), Gas Sensing Nanomaterials and Sensors (13 papers) and ZnO doping and properties (9 papers). Yangsi Liu is often cited by papers focused on Advanced Photocatalysis Techniques (16 papers), Gas Sensing Nanomaterials and Sensors (13 papers) and ZnO doping and properties (9 papers). Yangsi Liu collaborates with scholars based in China, New Zealand and Australia. Yangsi Liu's co-authors include Wei Gao, Shanghai Wei, Xiaoli Xi, Jie Han, Zuoren Nie, Linyan Zhao, Lianzhou Wang, Naresh Singhal, Liwen Ma and Wei Qiu and has published in prestigious journals such as Journal of Hazardous Materials, Chemical Engineering Journal and Chemical Physics Letters.

In The Last Decade

Yangsi Liu

32 papers receiving 680 citations

Peers

Yangsi Liu
Comparison fields: 5 of 50
  • Renewable Energy, Sustainability and the Environment 450
  • Materials Chemistry 437
  • Electrical and Electronic Engineering 253
  • Electronic, Optical and Magnetic Materials 110
  • Polymers and Plastics 78
Replace Ananta G. Dhodamani with:
Ananta G. Dhodamani India
S. Bouattour Tunisia
Muhd Firdaus Kasim Malaysia
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Josny Joy India
Zoufei Du China
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Ananta G. Dhodamani India View profile →
Citations per field, relative to Yangsi Liu
Yangsi Liu · 1×
Citations per year, relative to Yangsi Liu
Yangsi Liu · 1×

Countries citing papers authored by Yangsi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yangsi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangsi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yangsi Liu. A scholar is included among the top collaborators of Yangsi Liu 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 Yangsi Liu. Yangsi Liu 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
# Work Indexed citations
1 2
2 3
3 5
4 2
5 11
6 13
7 26
8 4
9 1
10 4
11 5
12 25
13 32
14 23
15 1
16 32
17 10
18 44
19 142
20 110

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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