Shen Lai
Impact in
- Materials Chemistry top 5%
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
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- Advanced Memory and Neural Computing
- Perovskite Materials and Applications
Papers in
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- 2D Materials and Applications 13
- Graphene research and applications 11
- MXene and MAX Phase Materials 7
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- Perovskite Materials and Applications 5
- Advanced Memory and Neural Computing 3
- Co-authors
- Sungjoo Lee (9 shared papers)Sung Kyu Jang (5 shared papers)Jin‐Hong Park (3 shared papers)Jiao Xu (2 shared papers)Young Jin Choi (2 shared papers)Jaeho Jeon (3 shared papers)Jingyuan Jia (2 shared papers)Weibo Gao (9 shared papers)
In The Last Decade
Shen Lai
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 42
- Materials Chemistry 1000
- Electrical and Electronic Engineering 504
- Atomic and Molecular Physics, and Optics 262
- Renewable Energy, Sustainability and the Environment 133
- Electronic, Optical and Magnetic Materials 136
Countries citing papers authored by Shen Lai
This map shows the geographic impact of Shen Lai'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 Shen Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Lai more than expected).
Fields of papers citing papers by Shen Lai
This network shows the impact of papers produced by Shen Lai. 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 Shen Lai. The network helps show where Shen Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shen Lai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 321 | |
| 2 | 2015 | 185 | |
| 3 | 2017 | 108 | |
| 4 | 2020 | 100 | |
| 5 | 2021 | 100 | |
| 6 | 2017 | 81 | |
| 7 | 2018 | 69 | |
| 8 | 2022 | 54 | |
| 9 | 2022 | 37 | |
| 10 | 2018 | 33 | |
| 11 | 2021 | 30 | |
| 12 | 2017 | 26 | |
| 13 | 2016 | 20 | |
| 14 | 2023 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2023 | 7 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Shen Lai
Shen Lai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Statistical and Nonlinear Physics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include 2D Materials and Applications (13 papers), Graphene research and applications (11 papers), Quantum and electron transport phenomena (8 papers), MXene and MAX Phase Materials (7 papers), Topological Materials and Phenomena (6 papers), Perovskite Materials and Applications (5 papers), Nanowire Synthesis and Applications (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Materials Chemistry (1000 citations), Electrical and Electronic Engineering (504 citations), Atomic and Molecular Physics, and Optics (262 citations), Renewable Energy, Sustainability and the Environment (133 citations) and Electronic, Optical and Magnetic Materials (136 citations). Shen Lai has collaborated with scholars based in China, Macao and Singapore. Frequent co-authors include Sungjoo Lee, Sung Kyu Jang, Jin‐Hong Park, Jiao Xu, Young Jin Choi, Jaeho Jeon, Jingyuan Jia, Weibo Gao, E. H. Hwang and Zhaowei Zhang. Their work appears in journals such as Nanoscale, Applied Physics Letters, National Science Review, ACS Nano and Physical Review 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.