Kai Pan
- Water Science and Technology top 1%
- Membrane Separation Technologies 21
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications 15
- biodegradable polymer synthesis and properties 12
- Polymers and Plastics top 2%
- Conducting polymers and applications 15
- Biomedical Engineering top 1%
- Advanced Sensor and Energy Harvesting Materials 31
- Surfaces, Coatings and Films top 2%
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- Supercapacitor Materials and Fabrication 17
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- Advanced Polymer Synthesis and Characterization 11
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- Membrane Separation and Gas Transport 8
- Journals
- Journal of Applied Polymer Science (9 papers)Advanced Materials Technologies (7 papers)Journal of Materials Chemistry C (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kai Pan
103 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 99
- Water Science and Technology 1.1k
- Biomaterials 689
- Polymers and Plastics 658
- Biomedical Engineering 1.7k
- Surfaces, Coatings and Films 262
Countries citing papers authored by Kai Pan
This map shows the geographic impact of Kai Pan'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 Kai Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Pan more than expected).
Fields of papers citing papers by Kai Pan
This network shows the impact of papers produced by Kai Pan. 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 Kai Pan. The network helps show where Kai Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Pan, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 14 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 7 | |
| 15 | 2019 | 11 | |
| 16 | 2019 | 7 | |
| 17 | 2018 | 28 | |
| 18 | 2013 | 76 | |
| 19 | 2012 | 258 | |
| 20 | Preparation of pH-Responsive Membranes by Surface-Initiated Atom Transfer Radical Polymerization | 2010 | 1 |
About Kai Pan
Kai Pan is a scholar working on Biomaterials, Polymers and Plastics, Water Science and Technology, Surfaces, Coatings and Films and Electronic, Optical and Magnetic Materials, having authored 107 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (31 papers), Membrane Separation Technologies (21 papers), Supercapacitor Materials and Fabrication (17 papers), Conducting polymers and applications (15 papers), Electrospun Nanofibers in Biomedical Applications (15 papers), biodegradable polymer synthesis and properties (12 papers), Advanced Polymer Synthesis and Characterization (11 papers) and Membrane Separation and Gas Transport (8 papers). The work is most often cited by research in Water Science and Technology (1.1k citations), Biomaterials (689 citations), Polymers and Plastics (658 citations), Biomedical Engineering (1.7k citations) and Surfaces, Coatings and Films (262 citations). Kai Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bing Cao, Jianqiang Wang, Jianping Deng, Bin Liang, Pan Zhang, Yuxuan Liu, Jin Jia, Zhenzhen Qin, Biao Zhao and Li Li. Their work appears in journals such as Journal of Applied Polymer Science, Advanced Materials Technologies, Journal of Materials Chemistry C, Nanoscale and Advanced Functional Materials.
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.