Beibei Sheng
Impact in
-
- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
- CO2 Reduction Techniques and Catalysts
Papers in
-
- Electrocatalysts for Energy Conversion 13
- CO2 Reduction Techniques and Catalysts 6
- Advanced Photocatalysis Techniques 3
-
- Machine Learning in Materials Science 3
- Catalytic Processes in Materials Science 3
- Co-authors
- Li Song (17 shared papers)Dengfeng Cao (16 shared papers)Shuangming Chen (16 shared papers)Chongjing Liu (10 shared papers)Xiaojun Wu (8 shared papers)Yujian Xia (7 shared papers)Jinsong Liu (3 shared papers)Ziquan Li (3 shared papers)
In The Last Decade
Beibei Sheng
19 papers receiving 401 citations
Peers
Comparison fields: 5 of 30
- Renewable Energy, Sustainability and the Environment 341
- Catalysis 47
- Electrochemistry 40
- Materials Chemistry 198
- Electrical and Electronic Engineering 186
Countries citing papers authored by Beibei Sheng
This map shows the geographic impact of Beibei Sheng'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 Beibei Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Sheng more than expected).
Fields of papers citing papers by Beibei Sheng
This network shows the impact of papers produced by Beibei Sheng. 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 Beibei Sheng. The network helps show where Beibei Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Sheng, 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 | 2015 | 68 | |
| 2 | 2022 | 45 | |
| 3 | 2020 | 42 | |
| 4 | 2024 | 38 | |
| 5 | 2023 | 36 | |
| 6 | 2021 | 26 | |
| 7 | 2014 | 25 | |
| 8 | 2023 | 24 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2025 | 12 | |
| 14 | 2023 | 9 | |
| 15 | 2025 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2023 | 0 |
About Beibei Sheng
Beibei Sheng is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Electrical and Electronic Engineering, Electrochemistry and Catalysis, having authored 20 papers that have together received 411 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (13 papers), CO2 Reduction Techniques and Catalysts (6 papers), Electrochemical Analysis and Applications (4 papers), Advanced battery technologies research (4 papers), Machine Learning in Materials Science (3 papers), Catalytic Processes in Materials Science (3 papers), Advanced Photocatalysis Techniques (3 papers) and Fuel Cells and Related Materials (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (341 citations), Catalysis (47 citations), Electrochemistry (40 citations), Materials Chemistry (198 citations) and Electrical and Electronic Engineering (186 citations). Beibei Sheng has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Li Song, Dengfeng Cao, Shuangming Chen, Chongjing Liu, Xiaojun Wu, Yujian Xia, Jinsong Liu, Ziquan Li, Wenjie Xu and Jinhao Qiu. Their work appears in journals such as Nano Research, Acta Physico-Chimica Sinica, Journal of the American Chemical Society, Applied Catalysis B: Environmental and Nature Communications.
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.