Yu Jin

506 citations
40 papers · 408 · 1 hit paper · h-index 13

Impact in

Papers in

Yu Jin

38 papers receiving 398 citations

Yu Jin's Hit Papers

DIESEL SPRAY CHARACTERISTICS OF MULTI-HOLE INJECTORS UNDER GEOMETRICAL SIMILARITY CONDITION 2025 · 37 citations
370Years since publication102030

Peers

Yu Jin
Comparison fields: 5 of 47
  • Fluid Flow and Transfer Processes 289
  • Computational Mechanics 244
  • Automotive Engineering 66
  • Aerospace Engineering 73
  • Biomedical Engineering 91
Replace Chang Zhai with:
Chang Zhai Japan
Yusong Yu China
Shengli Wei China
Yangbing Zeng United States
Bolan Liu China
Iman Chitsaz Iran
Brad VanDerWege United States
Zehao Feng China
Łukasz Jan Kapusta Poland
Shengqi Wu China
Yu Jin relative to Chang Zhai Japan Chang Zhai's profile →
Citations per field
00.5×5×10×12.5×
Chang Zhai · 1×
Citations per year

Countries citing papers authored by Yu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2
DIESEL SPRAY CHARACTERISTICS OF MULTI-HOLE INJECTORS UNDER GEOMETRICAL SIMILARITY CONDITION
Hit paper breakdown →
202537
3 201825
4 201723
5 202120
6 202220
7 202116
8 202015
9 201714
10 202214
11 201814
12 202013
13 202312
14 201812
15 202012
16 202011
17 20239
18 20249
19 20188
20 20218

About Yu Jin

Yu Jin is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 40 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (32 papers), Combustion and flame dynamics (26 papers), Fluid Dynamics and Heat Transfer (9 papers), Vehicle emissions and performance (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers), Biodiesel Production and Applications (4 papers), Combustion and Detonation Processes (4 papers) and Aerodynamics and Fluid Dynamics Research (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (289 citations), Computational Mechanics (244 citations), Automotive Engineering (66 citations), Aerospace Engineering (73 citations) and Biomedical Engineering (91 citations). Yu Jin has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Keiya Nishida, Chang Zhai, Xianyin Leng, Hongliang Luo, Yoichi Ogata, Youichi Ogata, Zhixia He, Pengbo Dong, Wuqiang Long and Zhixia He. Their work appears in journals such as Fuel, SAE technical papers on CD-ROM/SAE technical paper series, Atomization and Sprays, Energy 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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