Yating Wang

1.6k citations
64 papers · 1.2k · h-index 22

Impact in

Papers in

Yating Wang

56 papers receiving 1.2k citations

Peers

Yating Wang
Comparison fields: 5 of 108
  • Catalysis 299
  • Renewable Energy, Sustainability and the Environment 656
  • Process Chemistry and Technology 71
  • Computational Theory and Mathematics 230
  • Computational Mechanics 224
Replace Zbigniew Ring with:
Zbigniew Ring Canada
Alon Grinberg Dana Israel
Fenrong Liu China
Poorandokht Ilani‐Kashkouli South Africa
Kozo Koide Japan
Toshihiko Hiaki Japan
Y. A. Liu United States
Benoît Creton France
Wenbo Xie China
Muhammad Tayyab China
Yating Wang relative to Zbigniew Ring Canada Zbigniew Ring's profile →
Citations per field
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Zbigniew Ring · 1×
Citations per year

Countries citing papers authored by Yating Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yating Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021166
2 202294
3 201880
4 201952
5 202143
6 202041
7 201640
8 202238
9 202237
10 202235
11 202233
12 201932
13 201731
14 202131
15 202131
16 202230
17 202230
18 201727
19 202026
20 201723

About Yating Wang

Yating Wang is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Computational Mechanics, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include CO2 Reduction Techniques and Catalysts (19 papers), Advanced Mathematical Modeling in Engineering (13 papers), Advanced Numerical Methods in Computational Mathematics (13 papers), Composite Material Mechanics (11 papers), Electrocatalysts for Energy Conversion (11 papers), Metal-Organic Frameworks: Synthesis and Applications (10 papers), Ionic liquids properties and applications (9 papers) and Advanced battery technologies research (9 papers). The work is most often cited by research in Catalysis (299 citations), Renewable Energy, Sustainability and the Environment (656 citations), Process Chemistry and Technology (71 citations), Computational Theory and Mathematics (230 citations) and Computational Mechanics (224 citations). Yating Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuhang Li, Chunzhong Li, Eric T. Chung, Chuqian Xiao, Ling Cheng, Jinze Liu, Maria Vasilyeva, Yalchin Efendiev, Wing Tat Leung and Hao Jiang. Their work appears in journals such as Journal of Computational and Applied Mathematics, Angewandte Chemie International Edition, Small, Journal of Materials Chemistry A and Nano Research.

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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