David Gao
Impact in
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- Electronic and Structural Properties of Oxides
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- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Ferroelectric and Negative Capacitance Devices
- Molecular Junctions and Nanostructures
Papers in
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- Semiconductor materials and devices 7
- Molecular Junctions and Nanostructures 7
- Advanced Memory and Neural Computing 6
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- Electronic and Structural Properties of Oxides 5
- Graphene research and applications 4
- Carbon Nanotubes in Composites 4
- Co-authors
- Alexander L. Shluger (20 shared papers)Filippo Federici Canova (8 shared papers)Adam S. Foster (3 shared papers)Eiaki V. Morooka (1 shared paper)Yashasvi S. Ranawat (1 shared paper)Patrick Rinke (1 shared paper)Lauri Himanen (1 shared paper)Manveer Singh Munde (4 shared papers)
- Journals
- The Journal of Physical Chemistry C (5 papers)Nature Materials (3 papers)Advanced Materials (3 papers)Journal of Physics Condensed Matter (2 papers)Computer Physics Communications (2 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
David Gao
32 papers receiving 1.5k citations
David Gao's Hit Papers
Peers
Comparison fields: 5 of 93
- Materials Chemistry 879
- Electrical and Electronic Engineering 773
- Structural Biology 17
- Computational Theory and Mathematics 152
- Atomic and Molecular Physics, and Optics 279
Countries citing papers authored by David Gao
This map shows the geographic impact of David Gao'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 David Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gao more than expected).
Fields of papers citing papers by David Gao
This network shows the impact of papers produced by David Gao. 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 David Gao. The network helps show where David Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside David Gao, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DScribe: Library of descriptors for machine learning in materials science Hit paper breakdown → | 2019 | 600 |
| 2 | 2018 | 162 | |
| 3 | 2017 | 103 | |
| 4 | 2017 | 82 | |
| 5 | 2018 | 72 | |
| 6 | 2017 | 63 | |
| 7 | 2019 | 57 | |
| 8 | 2016 | 55 | |
| 9 | 2018 | 52 | |
| 10 | 2016 | 50 | |
| 11 | 2014 | 34 | |
| 12 | 2020 | 31 | |
| 13 | 2016 | 23 | |
| 14 | 2014 | 18 | |
| 15 | 2012 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2012 | 14 | |
| 18 | 2016 | 11 | |
| 19 | 2012 | 10 | |
| 20 | 2016 | 9 |
About David Gao
David Gao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Polymers and Plastics, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Semiconductor materials and devices (7 papers), Molecular Junctions and Nanostructures (7 papers), Advanced Memory and Neural Computing (6 papers), Surface Chemistry and Catalysis (6 papers), Electronic and Structural Properties of Oxides (5 papers), Force Microscopy Techniques and Applications (4 papers), Graphene research and applications (4 papers) and Carbon Nanotubes in Composites (4 papers). The work is most often cited by research in Materials Chemistry (879 citations), Electrical and Electronic Engineering (773 citations), Structural Biology (17 citations), Computational Theory and Mathematics (152 citations) and Atomic and Molecular Physics, and Optics (279 citations). David Gao has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Alexander L. Shluger, Filippo Federici Canova, Adam S. Foster, Eiaki V. Morooka, Yashasvi S. Ranawat, Patrick Rinke, Lauri Himanen, Manveer Singh Munde, Al-Moatasem El-Sayed and Matthew B. Watkins. Their work appears in journals such as The Journal of Physical Chemistry C, Nature Materials, Advanced Materials, Journal of Physics Condensed Matter and Computer Physics Communications.
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.