Dai Liu

36 papers receiving 431 citations

Peers

Dai Liu
Comparison fields: 5 of 69
  • Fluid Flow and Transfer Processes 123
  • Process Chemistry and Technology 38
  • Catalysis 67
  • Renewable Energy, Sustainability and the Environment 126
  • Energy Engineering and Power Technology 22
Replace Takashi Ogawa with:
Takashi Ogawa Japan
Marcin Stec Poland
Chong Xia China
Adam Tatarczuk Poland
Stefano Langé Italy
Е. А. Чернышева Russia
Yanuandri Putrasari Indonesia
Lucas Rye United Kingdom
A. J. Simon United States
L. Więcław‐Solny Poland
Dai Liu relative to Takashi Ogawa Japan Takashi Ogawa's profile →
Citations per field
00.5×4.3×
Takashi Ogawa · 1×
Citations per year

Countries citing papers authored by Dai Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Dai 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 Dai Liu Line = papers co-authored together Dai Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202297
2 201572
3 201846
4 202123
5 201623
6 201522
7 202219
8 202014
9 201314
10 202210
11 201910
12 201310
13 201910
14 20139
15 20199
16 20188
17 20227
18 20146
19 20235
20 20224

About Dai Liu

Dai Liu is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Biomedical Engineering, Computational Mechanics and Environmental Engineering, having authored 39 papers that have together received 443 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (23 papers), Biodiesel Production and Applications (10 papers), Vehicle emissions and performance (10 papers), Combustion and flame dynamics (7 papers), Maritime Transport Emissions and Efficiency (5 papers), Catalytic Processes in Materials Science (4 papers), Algal biology and biofuel production (3 papers) and Marine and coastal ecosystems (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (123 citations), Process Chemistry and Technology (38 citations), Catalysis (67 citations), Renewable Energy, Sustainability and the Environment (126 citations) and Energy Engineering and Power Technology (22 citations). Dai Liu has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Long Liu, Shaoyun Chen, Chunjie Huang, Yongchun Zhang, Hongming Xu, Arumugam Sakunthalai Ramadhas, Xiuzhen Ma, Zhonghua Cai, Akbar Ghafourian and Jingtao Du. Their work appears in journals such as Applied Thermal Engineering, SAE international journal of fuels and lubricants, Thermal Science and Engineering Progress, Frontiers in Energy Research and International Journal of Engine Research.

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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