Shengyao Wang
-
- Advanced Photocatalysis Techniques 82
- CO2 Reduction Techniques and Catalysts 18
- Catalysis top 0.5%
-
- Scheduling and Optimization Algorithms 30
- Advanced Manufacturing and Logistics Optimization 23
- Materials Chemistry top 0.5%
- Covalent Organic Framework Applications 40
- Catalytic Processes in Materials Science 25
- Inorganic Chemistry top 1%
-
- Metaheuristic Optimization Algorithms Research 21
-
- Membrane Separation Technologies 20
Shengyao Wang
179 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Renewable Energy, Sustainability and the Environment 7.5k
- Catalysis 1.4k
- Industrial and Manufacturing Engineering 1.6k
- Materials Chemistry 6.5k
- Inorganic Chemistry 1.1k
Countries citing papers authored by Shengyao Wang
This map shows the geographic impact of Shengyao 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 Shengyao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengyao Wang more than expected).
Fields of papers citing papers by Shengyao Wang
This network shows the impact of papers produced by Shengyao 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 Shengyao Wang. The network helps show where Shengyao Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shengyao Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 13 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 102 | |
| 8 | 2023 | 52 | |
| 9 | 2023 | 75 | |
| 10 | 2022 | 43 | |
| 11 | 2022 | 178 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 174 | |
| 17 | Unique S-scheme heterojunctions in self-assembled TiO2/CsPbBr3 hybrids for CO2 photoreductionbreakdown → | 2020 | 1260 |
| 18 | 2020 | 214 | |
| 19 | 2019 | 19 | |
| 20 | 2019 | 20 |
About Shengyao Wang
Shengyao Wang is a scholar working on Renewable Energy, Sustainability and the Environment, Industrial and Manufacturing Engineering and Catalysis, having authored 192 papers that have together received 11.5k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (82 papers), Covalent Organic Framework Applications (40 papers), Scheduling and Optimization Algorithms (30 papers), Catalytic Processes in Materials Science (25 papers), Advanced Manufacturing and Logistics Optimization (23 papers), Metaheuristic Optimization Algorithms Research (21 papers), Membrane Separation Technologies (20 papers) and CO2 Reduction Techniques and Catalysts (18 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (7.5k citations), Catalysis (1.4k citations) and Industrial and Manufacturing Engineering (1.6k citations). Shengyao Wang has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Ling Wang, Jinhua Ye, Hao Chen, Feiyan Xu, Jiaguo Yu, Ye Xu, Xing Ding, Jingsan Xu, Cheng Bei and Kai Meng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.
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.