Dai Liu
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Mechanics of Materials
- Fluid Flow and Transfer Processes top 10%
- Biomedical Engineering
- Co-authors
- H.W. LiuHongming XuFrancis BoaduBo ZengMartin SchulzJiazhao ZhangDapao YuMirosław L. Wyszynski
- Topics
- Target Tracking and Data Fusion in Sensor Networks (4 papers)Underwater Acoustics Research (4 papers)Advanced Combustion Engine Technologies (4 papers)
- Cited by
- Fluid Flow and Transfer ProcessesAutomotive EngineeringComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dai Liu
30 papers receiving 278 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 50
- Computer Vision and Pattern Recognition 45
- Mechanics of Materials 36
- Fluid Flow and Transfer Processes 34
- Biomedical Engineering 30
Countries citing papers authored by Dai Liu
This map shows the geographic impact of Dai 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 Dai Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Liu more than expected).
Fields of papers citing papers by Dai Liu
This network shows the impact of papers produced by Dai 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 Dai Liu. The network helps show where Dai Liu may publish in the future.
Co-authorship network of co-authors of Dai Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dai Liu. A scholar is included among the top collaborators of Dai 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 Dai Liu. Dai 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | Construction of TIN and Generation of Contour Line on AutoCAD | 1 |
| 18 | Power System Short-Term Load Forecasting Based on EEMD and Dynamic Neural Network | 2 |
| 19 | [Relationship between tree-ring chronology of Larix olgensis in Changbai Mountains and the climate change]. | 23 |
| 20 | Short-term load forecasting method based on artificial fish-swarm algorithm of neural network | 3 |
About Dai Liu
Dai Liu is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Oceanography, having authored 32 papers that have together received 290 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (4 papers), Underwater Acoustics Research (4 papers) and Advanced Combustion Engine Technologies (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (34 citations), Automotive Engineering (27 citations) and Computer Vision and Pattern Recognition (45 citations). Dai Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include H.W. Liu, Hongming Xu, Francis Boadu, Bo Zeng, Martin Schulz, Jiazhao Zhang, Dapao Yu, Mirosław L. Wyszynski, Yongbo Zhao and Andreas Festag. Their work appears in journals such as Energy Conversion and Management, IEEE Access and ACM Transactions on Graphics.
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.