Bei Jin
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- Advanced Photocatalysis Techniques 28
- TiO2 Photocatalysis and Solar Cells 15
- Materials Chemistry top 5%
- Copper-based nanomaterials and applications 13
- Advanced Nanomaterials in Catalysis 8
- Pickering emulsions and particle stabilization 7
- Food Science top 5%
- Proteins in Food Systems 18
- Microencapsulation and Drying Processes 6
- Catalysis top 10%
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- Gas Sensing Nanomaterials and Sensors 5
- Journals
- RSC Advances (5 papers)Journal of Energy Storage (3 papers)Materials Research Bulletin (3 papers)
- Partner nations
- ChinaAustraliaSwitzerland
In The Last Decade
Bei Jin
72 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 116
- Renewable Energy, Sustainability and the Environment 1.3k
- Materials Chemistry 1.2k
- Food Science 324
- Catalysis 94
- Electrical and Electronic Engineering 579
Countries citing papers authored by Bei Jin
This map shows the geographic impact of Bei Jin'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 Bei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Jin more than expected).
Fields of papers citing papers by Bei Jin
This network shows the impact of papers produced by Bei Jin. 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 Bei Jin. The network helps show where Bei Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bei Jin, 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 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 111 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 44 | |
| 14 | 2022 | 151 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 57 | |
| 17 | 2019 | 17 | |
| 18 | 2018 | 36 | |
| 19 | A new RAIM method based on vector correlation distance | 2010 | 1 |
| 20 | 2009 | 2 |
About Bei Jin
Bei Jin is a scholar working on Renewable Energy, Sustainability and the Environment, Food Science, Materials Chemistry, Animal Science and Zoology and Biotechnology, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (28 papers), Proteins in Food Systems (18 papers), TiO2 Photocatalysis and Solar Cells (15 papers), Copper-based nanomaterials and applications (13 papers), Advanced Nanomaterials in Catalysis (8 papers), Pickering emulsions and particle stabilization (7 papers), Microencapsulation and Drying Processes (6 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.3k citations), Materials Chemistry (1.2k citations), Food Science (324 citations), Catalysis (94 citations) and Electrical and Electronic Engineering (579 citations). Bei Jin has collaborated with scholars based in China, Australia and Switzerland. Frequent co-authors include Xiaosong Zhou, Jin Luo, Feng Peng, Jinguo Wang, Yong Men, Chi Zhang, Liang Hao, Hao Yu, Hongjuan Wang and Yueping Fang. Their work appears in journals such as RSC Advances, Journal of Energy Storage, Materials Research Bulletin, Journal of Microencapsulation and International Journal of Biological Macromolecules.
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.