Di Liu
- Mechanical Engineering top 2%
- Environmental Engineering top 2%
- Computational Mechanics top 2%
- Biomedical Engineering top 10%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Fu-Yun ZhaoGuang-Fa TangShaoping WangYanlin QiHamed KarimianQi LiMileta TomovicHongxing Yang
- Topics
- Nanofluid Flow and Heat Transfer (16 papers)Reliability and Maintenance Optimization (15 papers)Heat Transfer and Optimization (14 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Di Liu
104 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Mechanical Engineering 814
- Environmental Engineering 565
- Computational Mechanics 434
- Biomedical Engineering 424
- Health, Toxicology and Mutagenesis 309
Countries citing papers authored by Di Liu
This map shows the geographic impact of Di 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 Di Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Liu more than expected).
Fields of papers citing papers by Di Liu
This network shows the impact of papers produced by Di 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 Di Liu. The network helps show where Di Liu may publish in the future.
Co-authorship network of co-authors of Di Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Di Liu. A scholar is included among the top collaborators of Di 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 Di Liu. Di 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 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 0 | |
| 14 | A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memorybreakdown → | 427 |
| 15 | Study on Several Molecular Markers Methods Applied in Poplar Genetic Research | 0 |
| 16 | A subspace-based adaptive approach for multichannel equalization of room acoustics | 3 |
| 17 | Influence of equivalent drawbead model to springback prediction | 1 |
| 18 | Convenient Maintenance of Second-order Numerical Accuracy in Fluid Flow Simulation | 1 |
| 19 | Relativity Analysis of Pedestrian Head Injuries and the Headform to Bonnet Top Test Method | 3 |
| 20 | Simulative analysis of influence of vehicle forepart on pedestrian head injuries | 0 |
About Di Liu
Di Liu is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 114 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (16 papers), Reliability and Maintenance Optimization (15 papers) and Heat Transfer and Optimization (14 papers). The work is most often cited by research in Environmental Engineering (565 citations), Health, Toxicology and Mutagenesis (309 citations) and Mechanical Engineering (814 citations). Di Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fu-Yun Zhao, Guang-Fa Tang, Shaoping Wang, Yanlin Qi, Hamed Karimian, Qi Li, Mileta Tomovic, Hongxing Yang, Yang Cai and Hanqing Wang. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and Chemical Engineering Journal.
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.