Yang Hua

85 papers receiving 977 citations

Peers

Yang Hua
Comparison fields: 5 of 116
  • Fluid Flow and Transfer Processes 502
  • Automotive Engineering 214
  • Computational Mechanics 336
  • Biomedical Engineering 275
  • Materials Chemistry 248
Replace Wayne Moore with:
Wayne Moore United States
Jinguang Li China
Richard W. Anderson United States
Seunghyun Park South Korea
James Turner Saudi Arabia
María Abián Spain
Salvatore Vaccaro Italy
Valérie Tschamber France
Cevahir Tarhan Türkiye
Hong-Shig Shim United States
Yang Hua relative to Wayne Moore United States Wayne Moore's profile →
Citations per field
00.5×9.9×
Wayne Moore · 1×
Citations per year

Countries citing papers authored by Yang Hua

Since Specialization
Citations

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

Fields of papers citing papers by Yang Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201049
2 201749
3 201146
4 201845
5 201744
6 202042
7 201736
8 202336
9 201935
10 202034
11 201731
12 202028
13 201826
14 202125
15 202223
16 201823
17 201922
18 201921
19 202220
20 201716

About Yang Hua

Yang Hua is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering, Leadership and Management and Biological Psychiatry, having authored 93 papers that have together received 993 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (44 papers), Combustion and flame dynamics (35 papers), Vehicle emissions and performance (19 papers), Catalytic Processes in Materials Science (15 papers), Biodiesel Production and Applications (11 papers), Combustion and Detonation Processes (6 papers), Advanced Battery Materials and Technologies (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (502 citations), Automotive Engineering (214 citations), Computational Mechanics (336 citations), Biomedical Engineering (275 citations) and Materials Chemistry (248 citations). Yang Hua has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Han Wu, Fushui Liu, Chia-Fon Lee, Liang Qiu, Fushui Liu, Yejian Qian, Yikai Li, Yunsheng Ding, Shun Meng and Tian Wang. Their work appears in journals such as Fuel, Combustion Science and Technology, Journal of the Energy Institute, International Journal of Hydrogen Energy and SAE technical papers on CD-ROM/SAE technical paper series.

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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