Yichen Bai
Impact in
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- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
- Water Science and Technology top 10%
- Advanced oxidation water treatment
Papers in
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- Advanced Photocatalysis Techniques 7
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- Gas Sensing Nanomaterials and Sensors 4
- Co-authors
- Wei Mao (7 shared papers)Tianye Wang (7 shared papers)Shuxia Liu (5 shared papers)Ken Chiang (1 shared paper)Kalpit Shah (1 shared paper)Jorge Paz‐Ferreiro (1 shared paper)Lixun Zhang (2 shared papers)Yuntao Guan (2 shared papers)
In The Last Decade
Yichen Bai
11 papers receiving 484 citations
Peers
Comparison fields: 5 of 51
- Renewable Energy, Sustainability and the Environment 372
- Water Science and Technology 95
- Materials Chemistry 262
- Electrical and Electronic Engineering 144
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by Yichen Bai
This map shows the geographic impact of Yichen Bai'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 Yichen Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Bai more than expected).
Fields of papers citing papers by Yichen Bai
This network shows the impact of papers produced by Yichen Bai. 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 Yichen Bai. The network helps show where Yichen Bai may publish in the future.
Co-authors
The 24 scholars most cited alongside Yichen Bai, 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 | 2019 | 194 | |
| 2 | 2020 | 91 | |
| 3 | 2020 | 53 | |
| 4 | 2020 | 49 | |
| 5 | 2020 | 48 | |
| 6 | 2023 | 17 | |
| 7 | 2024 | 14 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 2 |
About Yichen Bai
Yichen Bai is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 11 papers that have together received 489 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (7 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Anomaly Detection Techniques and Applications (3 papers), Covalent Organic Framework Applications (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Data Stream Mining Techniques (1 paper), Polymer Foaming and Composites (1 paper) and Ga2O3 and related materials (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (372 citations), Water Science and Technology (95 citations), Materials Chemistry (262 citations), Electrical and Electronic Engineering (144 citations) and Industrial and Manufacturing Engineering (20 citations). Yichen Bai has collaborated with scholars based in China and Australia. Frequent co-authors include Wei Mao, Tianye Wang, Shuxia Liu, Ken Chiang, Kalpit Shah, Jorge Paz‐Ferreiro, Lixun Zhang, Yuntao Guan, Yunhang Gao and Yang Liu. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Chemosphere, Colloids and Surfaces A Physicochemical and Engineering Aspects, Frontiers of Environmental Science & Engineering and Journal of Photochemistry and Photobiology A Chemistry.
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.