Dahui Liu
- Materials Chemistry
- Electrical and Electronic Engineering
- Biomedical Engineering
- Automotive Engineering top 10%
- Mechanical Engineering
- Co-authors
- Zhengwei YangYue LiuSiqi ShiMaxim AvdeevShuchang MaBing GuYiping CuiZhenyao Yu
- Topics
- Nonlinear Optical Materials Studies (6 papers)Machine Learning in Materials Science (5 papers)Traffic control and management (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dahui Liu
31 papers receiving 527 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Materials Chemistry 271
- Electrical and Electronic Engineering 119
- Biomedical Engineering 102
- Automotive Engineering 71
- Mechanical Engineering 64
Countries citing papers authored by Dahui Liu
This map shows the geographic impact of Dahui 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 Dahui Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahui Liu more than expected).
Fields of papers citing papers by Dahui Liu
This network shows the impact of papers produced by Dahui 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 Dahui Liu. The network helps show where Dahui Liu may publish in the future.
Co-authorship network of co-authors of Dahui Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dahui Liu. A scholar is included among the top collaborators of Dahui Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dahui Liu. Dahui Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | Data quantity governance for machine learning in materials sciencebreakdown → | 106 |
| 7 | Generative artificial intelligence and its applications in materials science: Current situation and future perspectivesbreakdown → | 164 |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 18 | |
| 16 | 35 | |
| 17 | 28 | |
| 18 | 16 | |
| 19 | Optimization Research of Cutting Parameters Based on Orthogonal Experiment Method | 1 |
| 20 | 19 |
About Dahui Liu
Dahui Liu is a scholar working on Transportation, Automotive Engineering and Control and Systems Engineering, having authored 32 papers that have together received 558 indexed citations. Recurring topics across this work include Nonlinear Optical Materials Studies (6 papers), Machine Learning in Materials Science (5 papers) and Traffic control and management (4 papers). The work is most often cited by research in Health Informatics (15 citations), Automotive Engineering (71 citations) and Materials Chemistry (271 citations). Dahui Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhengwei Yang, Yue Liu, Siqi Shi, Maxim Avdeev, Shuchang Ma, Bing Gu, Yiping Cui, Zhenyao Yu, Ming‐Qing Li and Ning Sheng. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Power Sources.
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.