Song Liu
- Materials Chemistry top 2%
- Graphene research and applications 33
- 2D Materials and Applications 16
- Boron and Carbon Nanomaterials Research 10
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- Thermal Radiation and Cooling Technologies 16
- Condensed Matter Physics top 5%
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- Plasmonic and Surface Plasmon Research 19
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- Neural dynamics and brain function 10
- Autism Spectrum Disorder Research 9
- EEG and Brain-Computer Interfaces 8
- Co-authors
- James H. EdgarTakashi TaniguchiKenji WatanabeRainer HillenbrandKatayun BarmakFèlix CasanovaPeining LiLuis E. Hueso
- Cited by
- Atomic and Molecular Physics, and OpticsMaterials ChemistryElectronic, Optical and Magnetic Materials
- Partner nations
- United StatesChinaSpain
In The Last Decade
Song Liu
105 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Atomic and Molecular Physics, and Optics 1.7k
- Materials Chemistry 2.3k
- Electronic, Optical and Magnetic Materials 848
- Civil and Structural Engineering 851
- Condensed Matter Physics 383
Countries citing papers authored by Song Liu
This map shows the geographic impact of Song 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 Song Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Liu more than expected).
Fields of papers citing papers by Song Liu
This network shows the impact of papers produced by Song 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 Song Liu. The network helps show where Song Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song 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 | 2 | |
| 2 | 2025 | 4 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 41 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 25 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 190 | |
| 14 | 2020 | 33 | |
| 15 | 2020 | 9 | |
| 16 | Simulation of Hubbard model physics in WSe2/WS2 moiré superlatticesbreakdown → | 2020 | 620 |
| 17 | Pushing the polariton confinement limits with low losses using image polaritons in boron nitride | 2020 | 2 |
| 18 | Infrared hyperbolic metasurface based on nanostructured van der Waals materialsbreakdown → | 2018 | 376 |
| 19 | 2017 | 1 | |
| 20 | A Defect Detection Algorithm for Paper Currency Sorting System | 2007 | 1 |
About Song Liu
Song Liu is a scholar working on Cognitive Neuroscience, Materials Chemistry and Civil and Structural Engineering, having authored 109 papers that have together received 4.9k indexed citations. Recurring topics across this work include Graphene research and applications (33 papers), Plasmonic and Surface Plasmon Research (19 papers), Thermal Radiation and Cooling Technologies (16 papers), 2D Materials and Applications (16 papers), Boron and Carbon Nanomaterials Research (10 papers), Neural dynamics and brain function (10 papers), Autism Spectrum Disorder Research (9 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.7k citations), Materials Chemistry (2.3k citations) and Electronic, Optical and Magnetic Materials (848 citations). Song Liu has collaborated with scholars based in United States, China and Spain. Frequent co-authors include James H. Edgar, Takashi Taniguchi, Kenji Watanabe, Rainer Hillenbrand, Katayun Barmak, Fèlix Casanova, Peining Li, Luis E. Hueso, Alexey Y. Nikitin and Jiahan Li. Their work appears in journals such as Nature, Science 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.