Ye-Hua Liu
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism 8
- Advanced Condensed Matter Physics 4
- Theoretical and Computational Physics 3
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- Magnetic properties of thin films 6
- Quantum many-body systems 5
- Artificial Intelligence top 5%
- Neural Networks and Applications 3
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- Multiferroics and related materials 4
- Magnetic and transport properties of perovskites and related materials 3
- Co-authors
- Evert van NieuwenburgSebastian D. HuberYou‐Quan LiMatthias TroyerDavid PoulinJung Hoon HanLei WangGergely Harcos
- Cited by
- Condensed Matter PhysicsAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Journals
- Physical Review B (4 papers)Physical Review Letters (3 papers)Physical review. B. (3 papers)
- Partner nations
- SwitzerlandChinaUnited States
In The Last Decade
Ye-Hua Liu
18 papers receiving 990 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Condensed Matter Physics 423
- Atomic and Molecular Physics, and Optics 682
- Statistical and Nonlinear Physics 153
- Artificial Intelligence 275
- Computational Mathematics 4
Countries citing papers authored by Ye-Hua Liu
This map shows the geographic impact of Ye-Hua 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 Ye-Hua Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye-Hua Liu more than expected).
Fields of papers citing papers by Ye-Hua Liu
This network shows the impact of papers produced by Ye-Hua 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 Ye-Hua Liu. The network helps show where Ye-Hua Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ye-Hua 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 | 2022 | 59 | |
| 2 | 2019 | 53 | |
| 3 | 2018 | 69 | |
| 4 | Learning phase transitions by confusionbreakdown → | 2017 | 473 |
| 5 | Self-Learning Phase Boundaries by Active Contours | 2017 | 2 |
| 6 | 2017 | 3 | |
| 7 | 2016 | 12 | |
| 8 | 2016 | 18 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 55 | |
| 11 | 2015 | 18 | |
| 12 | 2015 | 59 | |
| 13 | 2015 | 17 | |
| 14 | 2014 | 8 | |
| 15 | 2014 | 27 | |
| 16 | 2013 | 56 | |
| 17 | 2013 | 50 | |
| 18 | 2011 | 16 |
About Ye-Hua Liu
Ye-Hua Liu is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (8 papers), Magnetic properties of thin films (6 papers), Quantum many-body systems (5 papers), Advanced Condensed Matter Physics (4 papers), Multiferroics and related materials (4 papers), Neural Networks and Applications (3 papers), Magnetic and transport properties of perovskites and related materials (3 papers) and Theoretical and Computational Physics (3 papers). The work is most often cited by research in Condensed Matter Physics (423 citations), Atomic and Molecular Physics, and Optics (682 citations) and Statistical and Nonlinear Physics (153 citations). Ye-Hua Liu has collaborated with scholars based in Switzerland, China and United States. Frequent co-authors include Evert van Nieuwenburg, Sebastian D. Huber, You‐Quan Li, Matthias Troyer, David Poulin, Jung Hoon Han, Lei Wang, Lei Wang, Gergely Harcos and Eunseok Lee. Their work appears in journals such as Physical Review B, Physical Review Letters, Physical review. B., Physical Review X and Nature 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.