Dehao Liu
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Solidification and crystal growth phenomena 7
- Machine Learning in Materials Science 5
- Microstructure and mechanical properties 3
- Co-authors
- Yan Wang (14 shared papers)Yiming Rong (4 shared papers)Gang Wang (2 shared papers)Zhenguo Nie (3 shared papers)Mir Jalil Razavi (2 shared papers)Ping Jiang (1 shared paper)Longchao Cao (1 shared paper)Yihua Lin (4 shared papers)
- Journals
- Journal of Computing and Information Science in Engineering (7 papers)Measurement (3 papers)BMC Pulmonary Medicine (2 papers)Modelling and Simulation in Materials Science and Engineering (2 papers)Manufacturing Letters (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Dehao Liu
44 papers receiving 570 citations
Peers
Comparison fields: 5 of 72
- Statistical and Nonlinear Physics 159
- Statistics, Probability and Uncertainty 69
- Mechanical Engineering 266
- Automotive Engineering 46
- Mechanics of Materials 78
Countries citing papers authored by Dehao Liu
This map shows the geographic impact of Dehao 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 Dehao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehao Liu more than expected).
Fields of papers citing papers by Dehao Liu
This network shows the impact of papers produced by Dehao 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 Dehao Liu. The network helps show where Dehao Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehao 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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 134 | |
| 2 | 2021 | 69 | |
| 3 | 2018 | 53 | |
| 4 | 2016 | 36 | |
| 5 | 2019 | 28 | |
| 6 | 2019 | 25 | |
| 7 | 2016 | 23 | |
| 8 | 2017 | 19 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2016 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2019 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2022 | 7 |
About Dehao Liu
Dehao Liu is a scholar working on Materials Chemistry, Mechanical Engineering, Statistical and Nonlinear Physics, Mechanics of Materials and Aerospace Engineering, having authored 46 papers that have together received 585 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (8 papers), Solidification and crystal growth phenomena (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Aluminum Alloy Microstructure Properties (5 papers), Machine Learning in Materials Science (5 papers), Probabilistic and Robust Engineering Design (4 papers), Microstructure and mechanical properties (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (159 citations), Statistics, Probability and Uncertainty (69 citations), Mechanical Engineering (266 citations), Automotive Engineering (46 citations) and Mechanics of Materials (78 citations). Dehao Liu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yan Wang, Yiming Rong, Gang Wang, Zhenguo Nie, Mir Jalil Razavi, Ping Jiang, Longchao Cao, Yihua Lin, Shengxiang Ge and Qi Zhou. Their work appears in journals such as Journal of Computing and Information Science in Engineering, Measurement, BMC Pulmonary Medicine, Modelling and Simulation in Materials Science and Engineering and Manufacturing 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.