Kai Diao
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Spectroscopy top 10%
- Molecular Sensors and Ion Detection
Papers in
-
- Luminescence and Fluorescent Materials 8
- Hydrogen Storage and Materials 6
-
- Advanced Chemical Physics Studies 7
- Co-authors
- Tangxin Xiao (11 shared papers)Zhengyi Li (8 shared papers)Xiaoqiang Sun (7 shared papers)Leyong Wang (8 shared papers)Liangliang Zhang (4 shared papers)Dongxing Ren (5 shared papers)Haoran Wu (3 shared papers)Xiaoyan Wei (2 shared papers)
- Journals
- International Journal of Hydrogen Energy (2 papers)Chemical Communications (2 papers)Journal of Molecular Liquids (2 papers)Chinese Chemical Letters (2 papers)Organic Letters (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kai Diao
26 papers receiving 423 citations
Peers
Comparison fields: 5 of 32
- Biomaterials 116
- Spectroscopy 129
- Materials Chemistry 349
- Organic Chemistry 188
- Physical and Theoretical Chemistry 20
Countries citing papers authored by Kai Diao
This map shows the geographic impact of Kai Diao'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 Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Diao more than expected).
Fields of papers citing papers by Kai Diao
This network shows the impact of papers produced by Kai Diao. 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 Diao. The network helps show where Kai Diao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Diao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2022 | 78 | |
| 3 | 2022 | 59 | |
| 4 | 2023 | 37 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 24 | |
| 7 | 2024 | 21 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2025 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Kai Diao
Kai Diao is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Organic Chemistry, Spectroscopy and Biomaterials, having authored 29 papers that have together received 432 indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (8 papers), Molecular Sensors and Ion Detection (7 papers), Advanced Chemical Physics Studies (7 papers), Hydrogen Storage and Materials (6 papers), Supramolecular Self-Assembly in Materials (6 papers), Supramolecular Chemistry and Complexes (4 papers), Ammonia Synthesis and Nitrogen Reduction (4 papers) and Polydiacetylene-based materials and applications (3 papers). The work is most often cited by research in Biomaterials (116 citations), Spectroscopy (129 citations), Materials Chemistry (349 citations), Organic Chemistry (188 citations) and Physical and Theoretical Chemistry (20 citations). Kai Diao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tangxin Xiao, Zhengyi Li, Xiaoqiang Sun, Leyong Wang, Liangliang Zhang, Dongxing Ren, Haoran Wu, Xiaoyan Wei, Guangping Sun and Chunxiang Wei. Their work appears in journals such as International Journal of Hydrogen Energy, Chemical Communications, Journal of Molecular Liquids, Chinese Chemical Letters and Organic Letters.
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.