Xin Hui

3.8k citations
143 papers · 2.9k · 1 hit paper · h-index 27

Impact in

Papers in

Xin Hui

129 papers receiving 2.8k citations

Xin Hui's Hit Papers

The experimental evaluation of a methodology for surrogate fuel formulation to emulate gas phase combustion kinetic phenomena 2012 · 366 citations
3660+4+9Years since publication100200300

Peers

Xin Hui
Comparison fields: 5 of 149
  • Fluid Flow and Transfer Processes 1.2k
  • Computational Mechanics 1.3k
  • Catalysis 117
  • Biomedical Engineering 706
  • Aerospace Engineering 392
Replace Liang Yu with:
Liang Yu China
Yingjia Zhang China
Guo-Xiu Li China
Sheng Chen China
Xinghua Liu China
Hongsheng Guo Canada
Jianmin Gao China
Sangho Kim Singapore
Xin Hui relative to Liang Yu China Liang Yu's profile →
Citations per field
00.5×3.1×
Liang Yu · 1×
Citations per year

Countries citing papers authored by Xin Hui

Since Specialization
Citations

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

Fields of papers citing papers by Xin Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The experimental evaluation of a methodology for surrogate fuel formulation to emulate gas phase combustion kinetic phenomena
Hit paper breakdown →
2012366
2 2015191
3 2012153
4 2016118
5 2022106
6 201086
7 201081
8 201579
9 201879
10 201576
11 202172
12 201968
13 201263
14 201752
15 202147
16 201846
17 201940
18 202439
19 201739
20 201639

About Xin Hui

Xin Hui is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Biomedical Engineering, Molecular Biology and Aerospace Engineering, having authored 143 papers that have together received 2.9k indexed citations. Recurring topics across this work include Combustion and flame dynamics (52 papers), Advanced Combustion Engine Technologies (51 papers), Catalysis and Hydrodesulfurization Studies (16 papers), Heat transfer and supercritical fluids (11 papers), Catalysis for Biomass Conversion (10 papers), Vehicle emissions and performance (9 papers), Biodiesel Production and Applications (9 papers) and Catalytic Processes in Materials Science (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.2k citations), Computational Mechanics (1.3k citations), Catalysis (117 citations), Biomedical Engineering (706 citations) and Aerospace Engineering (392 citations). Xin Hui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chih‐Jen Sung, Chi Zhang, Kamal Kumar, Yuzhen Lin, Changwei Hu, Dan Li, Pradeep Kumar Singh, Xin Xue, Stephen Dooley and Frederick L. Dryer. Their work appears in journals such as Fuel, Physics of Fluids, Combustion and Flame, International Journal of Hydrogen Energy and Medicine.

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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