Kai Liu
Impact in
- Polymers and Plastics top 0.2%
- Transition Metal Oxide Nanomaterials
- Materials Chemistry top 0.2%
- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
- Carbon Nanotubes in Composites
Papers in
-
- Transition Metal Oxide Nanomaterials 38
-
- 2D Materials and Applications 51
- Graphene research and applications 48
- MXene and MAX Phase Materials 38
- Co-authors
- Junqiao WuShoushan FanKaili JiangYinghui SunQunqing LiSangwook LeeJoonki SuhSefaattin Tongay
- Journals
- Advanced Materials (20 papers)Nano Letters (19 papers)ACS Applied Materials & Interfaces (13 papers)Advanced Functional Materials (12 papers)ACS Nano (11 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Liu
410 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Polymers and Plastics 3.0k
- Materials Chemistry 8.4k
- Electronic, Optical and Magnetic Materials 2.4k
- Electrical and Electronic Engineering 6.9k
- Renewable Energy, Sustainability and the Environment 1.9k
Countries citing papers authored by Kai Liu
This map shows the geographic impact of Kai Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Liu more than expected).
Fields of papers citing papers by Kai Liu
This network shows the impact of papers produced by Kai Liu. 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 Liu. The network helps show where Kai Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Liu, 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 | 7 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 51 | |
| 14 | 2024 | 13 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 21 | |
| 19 | 2022 | 42 | |
| 20 | 2015 | 107 |
About Kai Liu
Kai Liu is a scholar working on Polymers and Plastics, Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Electronic, Optical and Magnetic Materials, having authored 435 papers that have together received 15.6k indexed citations. Recurring topics across this work include 2D Materials and Applications (51 papers), Graphene research and applications (48 papers), MXene and MAX Phase Materials (38 papers), Transition Metal Oxide Nanomaterials (38 papers), Advanced Sensor and Energy Harvesting Materials (37 papers), Advanced Memory and Neural Computing (32 papers), Gas Sensing Nanomaterials and Sensors (29 papers) and Electrocatalysts for Energy Conversion (29 papers). The work is most often cited by research in Polymers and Plastics (3.0k citations), Materials Chemistry (8.4k citations), Electronic, Optical and Magnetic Materials (2.4k citations), Electrical and Electronic Engineering (6.9k citations) and Renewable Energy, Sustainability and the Environment (1.9k citations). Kai Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junqiao Wu, Shoushan Fan, Kaili Jiang, Yinghui Sun, Qunqing Li, Sangwook Lee, Joonki Suh, Sefaattin Tongay, Jingbo Li and Chun Cheng. Their work appears in journals such as Advanced Materials, Nano Letters, ACS Applied Materials & Interfaces, Advanced Functional Materials and ACS Nano.
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.