Xiaolu Li

5.2k citations
293 papers · 4.0k · h-index 33

Impact in

Papers in

Xiaolu Li

261 papers receiving 3.9k citations

Peers

Xiaolu Li
Comparison fields: 5 of 182
  • Fluid Flow and Transfer Processes 579
  • Polymers and Plastics 397
  • Computational Mechanics 481
  • Safety, Risk, Reliability and Quality 171
  • Process Chemistry and Technology 48
Replace Tatsuya Hasegawa with:
Tatsuya Hasegawa Japan
Yinghui Liu China
Yucheng Liu China
Min Yang China
Shuyuan Liu China
Ali Hassanpour United Kingdom
Antonio Apicella Italy
David F. Fletcher Australia
Jae‐Hyun Cho South Korea
N. J. Mills United Kingdom
Xiaolu Li relative to Tatsuya Hasegawa Japan Tatsuya Hasegawa's profile →
Citations per field
00.5×4.6×
Tatsuya Hasegawa · 1×
Citations per year

Countries citing papers authored by Xiaolu Li

Since Specialization
Citations

This map shows the geographic impact of Xiaolu Li'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 Xiaolu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolu Li more than expected).

Fields of papers citing papers by Xiaolu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaolu Li. 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 Xiaolu Li. The network helps show where Xiaolu Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016163
2 2016156
3 2017144
4 2006141
5 2021110
6 202191
7 202291
8 201873
9 200572
10 202269
11 202168
12 201562
13 202261
14 202158
15 201954
16 201654
17 202153
18 200552
19 201948
20 201347

About Xiaolu Li

Xiaolu Li is a scholar working on Fluid Flow and Transfer Processes, Mechanical Engineering, Electrical and Electronic Engineering, Aerospace Engineering and Computational Mechanics, having authored 293 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (44 papers), Combustion and flame dynamics (31 papers), Combustion and Detonation Processes (24 papers), Tribology and Lubrication Engineering (18 papers), Biodiesel Production and Applications (12 papers), Hydraulic and Pneumatic Systems (11 papers), Gear and Bearing Dynamics Analysis (11 papers) and Heat Transfer and Optimization (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (579 citations), Polymers and Plastics (397 citations), Computational Mechanics (481 citations), Safety, Risk, Reliability and Quality (171 citations) and Process Chemistry and Technology (48 citations). Xiaolu Li has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Cangsu Xu, Francis Oppong, De‐Yi Wang, Yizhong Wang, Zhongyang Luo, Zhu‐Bao Shao, Yan Bao, Jianzhong Ma, Yuntang Li and Guangjun Yu. Their work appears in journals such as Fuel, International Journal of Hydrogen Energy, Journal of Tribology, Chemical Engineering Journal and Polymers.

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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