Di Liu

2.7k citations
114 papers · 2.1k indexed · 1 hit paper · h-index 26

Di Liu

104 papers receiving 2.1k citations

Hit Papers

A hybrid model for spatiotemporal forecasting of PM2.5 ba...4272019202620212023100200300400

Peers

Di Liu
Comparison fields: 5 of 118
  • Environmental Engineering 565
  • Health, Toxicology and Mutagenesis 309
  • Mechanical Engineering 814
  • Computational Mechanics 434
  • Safety, Risk, Reliability and Quality 190
Replace Markus Oeser with:
Markus Oeser Germany
Henrik Saxén Finland
Jin Hu China
Songlin Nie China
C.W. Leung Hong Kong
Zhiqiang Liu China
Shijun You China
J.G. McGowan United States
Ali Jamali Iran
Quan Zhang China
Di Liu relative to Markus Oeser Germany Markus Oeser's profile →
Citations per field
00.5×6.7×
Markus Oeser · 1×
Citations per year

Countries citing papers authored by Di Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Di Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Di Liu Line = papers co-authored together Di Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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14
A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memorybreakdown →
2019427
15
Study on Several Molecular Markers Methods Applied in Poplar Genetic Research
20130
16
A subspace-based adaptive approach for multichannel equalization of room acoustics
20113
17
Influence of equivalent drawbead model to springback prediction
20071
18
Convenient Maintenance of Second-order Numerical Accuracy in Fluid Flow Simulation
20051
19
Relativity Analysis of Pedestrian Head Injuries and the Headform to Bonnet Top Test Method
20043
20
Simulative analysis of influence of vehicle forepart on pedestrian head injuries
20030

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), Heat Transfer and Optimization (14 papers), Tribology and Lubrication Engineering (10 papers), Gear and Bearing Dynamics Analysis (10 papers), Statistical Distribution Estimation and Applications (9 papers), Heat Transfer Mechanisms (8 papers) and Wind and Air Flow Studies (8 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.

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