Lai-Guo Wang
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
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- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 5
- Semiconductor materials and devices 4
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- Electronic and Structural Properties of Oxides 4
- Diamond and Carbon-based Materials Research 1
- Shape Memory Alloy Transformations 1
- Co-authors
- Aidong Li (9 shared papers)Di Wu (8 shared papers)Yanqiang Cao (7 shared papers)Lin Zhu (4 shared papers)Zhengyi Cao (2 shared papers)Guoyong Fang (3 shared papers)Qian Xu (2 shared papers)Jizhou Kong (2 shared papers)
In The Last Decade
Lai-Guo Wang
10 papers receiving 480 citations
Peers
Comparison fields: 5 of 28
- Electrical and Electronic Engineering 471
- Cellular and Molecular Neuroscience 121
- Polymers and Plastics 62
- Automotive Engineering 49
- Materials Chemistry 138
Countries citing papers authored by Lai-Guo Wang
This map shows the geographic impact of Lai-Guo Wang'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 Lai-Guo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai-Guo Wang more than expected).
Fields of papers citing papers by Lai-Guo Wang
This network shows the impact of papers produced by Lai-Guo Wang. 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 Lai-Guo Wang. The network helps show where Lai-Guo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lai-Guo Wang, 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 | 2015 | 122 | |
| 2 | 2015 | 115 | |
| 3 | 2017 | 77 | |
| 4 | 2017 | 58 | |
| 5 | 2017 | 37 | |
| 6 | 2014 | 34 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 1 |
About Lai-Guo Wang
Lai-Guo Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Electronic, Optical and Magnetic Materials and Cognitive Neuroscience, having authored 10 papers that have together received 488 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Electronic and Structural Properties of Oxides (4 papers), Semiconductor materials and devices (4 papers), Neuroscience and Neural Engineering (2 papers), Transition Metal Oxide Nanomaterials (1 paper), Diamond and Carbon-based Materials Research (1 paper) and Shape Memory Alloy Transformations (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (471 citations), Cellular and Molecular Neuroscience (121 citations), Polymers and Plastics (62 citations), Automotive Engineering (49 citations) and Materials Chemistry (138 citations). Lai-Guo Wang has collaborated with scholars based in China, Australia and Poland. Frequent co-authors include Aidong Li, Di Wu, Yanqiang Cao, Lin Zhu, Zhengyi Cao, Guoyong Fang, Qian Xu, Jizhou Kong, Guòan Tai and Hui Li. Their work appears in journals such as Nanoscale Research Letters, Chemical Communications, Journal of Alloys and Compounds, Journal of Physics D Applied Physics and Journal of Magnetism and Magnetic 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.