Lei Liao
Impact in
- Materials Chemistry top 0.05%
- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
- ZnO doping and properties
- Electrical and Electronic Engineering top 0.05%
- Perovskite Materials and Applications
- Gas Sensing Nanomaterials and Sensors
- Advanced Memory and Neural Computing
Papers in
-
- 2D Materials and Applications 132
- Graphene research and applications 98
- ZnO doping and properties 87
- MXene and MAX Phase Materials 43
-
- Perovskite Materials and Applications 59
- Advanced Memory and Neural Computing 45
- Thin-Film Transistor Technologies 40
Lei Liao
560 papers receiving 31.5k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Materials Chemistry 22.5k
- Electrical and Electronic Engineering 17.6k
- Electronic, Optical and Magnetic Materials 4.3k
- Biomedical Engineering 8.9k
- Polymers and Plastics 2.6k
Countries citing papers authored by Lei Liao
This map shows the geographic impact of Lei Liao'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 Lei Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Liao more than expected).
Fields of papers citing papers by Lei Liao
This network shows the impact of papers produced by Lei Liao. 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 Lei Liao. The network helps show where Lei Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Liao, 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 | 1 | |
| 2 | Monolithic three-dimensional tier-by-tier integration via van der Waals lamination Hit paper breakdown → | 2024 | 71 |
| 3 | 2024 | 11 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 45 | |
| 6 | 2023 | 111 | |
| 7 | 2023 | 53 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 103 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 61 | |
| 13 | 2021 | 214 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 23 | |
| 16 | 2019 | 21 | |
| 17 | 2019 | 15 | |
| 18 | 2017 | 255 | |
| 19 | 2016 | 160 | |
| 20 | 2015 | 72 |
About Lei Liao
Lei Liao is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Biomedical Engineering and Polymers and Plastics, having authored 593 papers that have together received 32.3k indexed citations. Recurring topics across this work include 2D Materials and Applications (132 papers), Graphene research and applications (98 papers), ZnO doping and properties (87 papers), Nanowire Synthesis and Applications (74 papers), Perovskite Materials and Applications (59 papers), Advanced Memory and Neural Computing (45 papers), MXene and MAX Phase Materials (43 papers) and Thin-Film Transistor Technologies (40 papers). The work is most often cited by research in Materials Chemistry (22.5k citations), Electrical and Electronic Engineering (17.6k citations), Electronic, Optical and Magnetic Materials (4.3k citations), Biomedical Engineering (8.9k citations) and Polymers and Plastics (2.6k citations). Lei Liao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiangfeng Duan, Yu Huang, Yuan Liu, Xuming Zou, Weida Hu, Jingwei Bai, Rui Cheng, Yongquan Qu, Xiaohong Chen and Yung‐Chen Lin. Their work appears in journals such as Nano Letters, Applied Physics Letters, Advanced Materials, Nanotechnology and Small.
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.