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
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- Additive Manufacturing Materials and Processes 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)Yanglong Lu (5 shared papers)Dana P. Ascherman (3 shared papers)Longchao Cao (1 shared paper)
- Journals
- Journal of Computing and Information Science in Engineering (7 papers)Measurement (3 papers)Modelling and Simulation in Materials Science and Engineering (2 papers)BMC Pulmonary Medicine (2 papers)Manufacturing Letters (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Dehao Liu
43 papers receiving 604 citations
Peers
Comparison fields: 5 of 70
- Statistical and Nonlinear Physics 163
- Statistics, Probability and Uncertainty 69
- Mechanical Engineering 269
- Automotive Engineering 47
- Aerospace Engineering 81
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 138 | |
| 2 | 2021 | 73 | |
| 3 | 2018 | 53 | |
| 4 | 2016 | 37 | |
| 5 | 2019 | 28 | |
| 6 | 2019 | 26 | |
| 7 | 2016 | 23 | |
| 8 | 2017 | 19 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2016 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2024 | 8 |
About Dehao Liu
Dehao Liu is a scholar working on Materials Chemistry, Mechanical Engineering, Mechanics of Materials, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 45 papers that have together received 614 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (8 papers), Solidification and crystal growth phenomena (7 papers), Aluminum Alloy Microstructure Properties (5 papers), Machine Learning in Materials Science (5 papers), Probabilistic and Robust Engineering Design (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Additive Manufacturing Materials and Processes (3 papers) and Microstructure and mechanical properties (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (163 citations), Statistics, Probability and Uncertainty (69 citations), Mechanical Engineering (269 citations), Automotive Engineering (47 citations) and Aerospace Engineering (81 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, Yanglong Lu, Dana P. Ascherman, Longchao Cao, Yihua Lin and Ping Jiang. Their work appears in journals such as Journal of Computing and Information Science in Engineering, Measurement, Modelling and Simulation in Materials Science and Engineering, BMC Pulmonary Medicine 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.