Ju Bai
- Inorganic Chemistry top 5%
- Water Science and Technology top 5%
- Membrane Separation Technologies 11
- Polymers and Plastics top 10%
- Conducting polymers and applications 6
- Mechanical Engineering top 5%
- Membrane Separation and Gas Transport 11
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- Luminescence Properties of Advanced Materials 7
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- Advanced Sensor and Energy Harvesting Materials 6
- Membrane-based Ion Separation Techniques 6
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- Advanced Photocatalysis Techniques 6
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- Gas Sensing Nanomaterials and Sensors 5
- Journals
- Industrial & Engineering Chemistry Research (3 papers)Chemical Engineering Journal (3 papers)Chemical Communications (2 papers)
- Partner nations
- ChinaSouth KoreaHong Kong
In The Last Decade
Ju Bai
58 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Inorganic Chemistry 258
- Water Science and Technology 210
- Polymers and Plastics 183
- Mechanical Engineering 378
- Electronic, Optical and Magnetic Materials 163
Countries citing papers authored by Ju Bai
This map shows the geographic impact of Ju 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 Ju Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Bai more than expected).
Fields of papers citing papers by Ju Bai
This network shows the impact of papers produced by Ju 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 Ju Bai. The network helps show where Ju Bai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ju 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 21 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 38 | |
| 10 | 2021 | 18 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 23 | |
| 14 | 2019 | 0 | |
| 15 | 2019 | 54 | |
| 16 | 2019 | 23 | |
| 17 | Network Traffic Classification Based on Relevant Vector Machine | 2014 | 1 |
| 18 | 2010 | 1 | |
| 19 | The Retrospect and Prospect of Intuitive Decision-making Research | 2008 | 1 |
| 20 | 2007 | 2 |
About Ju Bai
Ju Bai is a scholar working on Water Science and Technology, Renewable Energy, Sustainability and the Environment, Polymers and Plastics, Ecological Modeling and Mechanical Engineering, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Membrane Separation and Gas Transport (11 papers), Membrane Separation Technologies (11 papers), Luminescence Properties of Advanced Materials (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Membrane-based Ion Separation Techniques (6 papers), Conducting polymers and applications (6 papers), Advanced Photocatalysis Techniques (6 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). The work is most often cited by research in Inorganic Chemistry (258 citations), Water Science and Technology (210 citations), Polymers and Plastics (183 citations), Mechanical Engineering (378 citations) and Electronic, Optical and Magnetic Materials (163 citations). Ju Bai has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Chuanbao Cao, Guangyong Li, Jianhua Yang, Ting Zhang, Zhong Xie, Huimin Yin, Tie Li, Jinqu Wang, Jinming Lu and Shengzhao Li. Their work appears in journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Journal, Chemical Communications, Ceramics International and Journal of Environmental Management.
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.