Beilei Cui
Impact in
- Process Chemistry and Technology top 10%
- Carbon dioxide utilization in catalysis
- Catalysis top 10%
- Ionic liquids properties and applications
- Catalysts for Methane Reforming
Papers in
-
- Medical Image Segmentation Techniques 3
- Face and Expression Recognition 2
- Advanced Vision and Imaging 2
-
- Lignin and Wood Chemistry 2
- Co-authors
- Hua Wang (3 shared papers)Qingfeng Ge (3 shared papers)Xinli Zhu (3 shared papers)Weiwei Lu (2 shared papers)Kaisheng Yao (2 shared papers)Yuan Zhang (2 shared papers)Yuling Zhao (2 shared papers)Jianji Wang (2 shared papers)
- Journals
- Nature Communications (1 paper)ChemCatChem (1 paper)Computing (1 paper)Journal of Catalysis (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Beilei Cui
15 papers receiving 302 citations
Peers
Comparison fields: 5 of 51
- Process Chemistry and Technology 52
- Catalysis 101
- Renewable Energy, Sustainability and the Environment 125
- Mechanical Engineering 90
- Materials Chemistry 83
Countries citing papers authored by Beilei Cui
This map shows the geographic impact of Beilei Cui'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 Beilei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beilei Cui more than expected).
Fields of papers citing papers by Beilei Cui
This network shows the impact of papers produced by Beilei Cui. 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 Beilei Cui. The network helps show where Beilei Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Beilei Cui, 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 | 2017 | 102 | |
| 2 | 2022 | 72 | |
| 3 | 2017 | 26 | |
| 4 | 2024 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2024 | 17 | |
| 7 | 2021 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2020 | 6 | |
| 10 | Self-Weighted Multi-View Clustering with Deep Matrix Factorization. | 2019 | 3 |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2021 | 0 | |
| 18 | 2025 | 0 |
About Beilei Cui
Beilei Cui is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Process Chemistry and Technology, having authored 18 papers that have together received 303 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Catalysis and Hydrodesulfurization Studies (3 papers), Face and Expression Recognition (2 papers), Carbon dioxide utilization in catalysis (2 papers), Catalytic Processes in Materials Science (2 papers), Lignin and Wood Chemistry (2 papers), Advanced Vision and Imaging (2 papers) and CO2 Reduction Techniques and Catalysts (2 papers). The work is most often cited by research in Process Chemistry and Technology (52 citations), Catalysis (101 citations), Renewable Energy, Sustainability and the Environment (125 citations), Mechanical Engineering (90 citations) and Materials Chemistry (83 citations). Beilei Cui has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hua Wang, Qingfeng Ge, Xinli Zhu, Weiwei Lu, Kaisheng Yao, Yuan Zhang, Yuling Zhao, Jianji Wang, Bo Jia and Jinyu Han. Their work appears in journals such as Nature Communications, ChemCatChem, Computing, Journal of Catalysis and Angewandte Chemie International Edition.
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.