S.I. Yang

695 total citations
28 papers, 568 citations indexed

About

S.I. Yang is a scholar working on Computational Mechanics, Biomedical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, S.I. Yang has authored 28 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 13 papers in Biomedical Engineering and 8 papers in Fluid Flow and Transfer Processes. Recurrent topics in S.I. Yang's work include Combustion and flame dynamics (14 papers), Thermochemical Biomass Conversion Processes (12 papers) and Advanced Combustion Engine Technologies (8 papers). S.I. Yang is often cited by papers focused on Combustion and flame dynamics (14 papers), Thermochemical Biomass Conversion Processes (12 papers) and Advanced Combustion Engine Technologies (8 papers). S.I. Yang collaborates with scholars based in Taiwan, China and Indonesia. S.I. Yang's co-authors include Min Wu, Chih–Yung Wu, S.S. Shy, Yueh‐Heng Li, Jing‐Yi Lin, Andrei N. Lipatnikov, Chien-chia Liu, Jiawei Cao, Zhixia He and Shu‐San Hsiau and has published in prestigious journals such as International Journal of Hydrogen Energy, Energy Conversion and Management and Energy.

In The Last Decade

S.I. Yang

26 papers receiving 550 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S.I. Yang Taiwan	14	315	293	208	97	81	28	568
Guan‐Bang Chen Taiwan	17	296 0.9×	333 1.1×	277 1.3×	162 1.7×	54 0.7×	35	706
Pedro Teixeira Lacava Brazil	14	173 0.5×	278 0.9×	303 1.5×	165 1.7×	42 0.5×	73	663
William L.H. Hallett Canada	18	530 1.7×	662 2.3×	370 1.8×	89 0.9×	130 1.6×	37	925
Mohsen Ghamari United States	8	134 0.4×	206 0.7×	135 0.6×	63 0.6×	49 0.6×	13	318
Yejian Qian China	13	273 0.9×	130 0.4×	179 0.9×	77 0.8×	80 1.0×	39	608
Lanbo Song China	12	328 1.0×	192 0.7×	243 1.2×	45 0.5×	45 0.6×	17	470
Hookyung Lee South Korea	12	281 0.9×	256 0.9×	109 0.5×	69 0.7×	82 1.0×	34	454
Duckjool Kim South Korea	12	420 1.3×	224 0.8×	75 0.4×	31 0.3×	69 0.9×	23	651
Toufik Boushaki France	17	161 0.5×	682 2.3×	406 2.0×	293 3.0×	137 1.7×	49	862
Fernando Marcelo Pereira Brazil	15	165 0.5×	338 1.2×	271 1.3×	114 1.2×	77 1.0×	38	553

Countries citing papers authored by S.I. Yang

Since Specialization

Citations

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

Fields of papers citing papers by S.I. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.I. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of S.I. Yang. A scholar is included among the top collaborators of S.I. Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S.I. Yang. S.I. Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, S.I.. (2025). Comparison among Main Factors for Biodiesel via transesterification of vegetable oil. Applied and Computational Engineering. 123(1). 54–58. 1 indexed citations

Yang, S.I., et al.. (2025). Parametric Study on the Near-Wall Wake Flow of a Circular Cylinder: Influence of Gap Ratio and Reynolds Number. Journal of Marine Science and Engineering. 13(10). 1851–1851.

Yang, S.I., et al.. (2024). Energy efficiency and heat transfer analysis of R-513A and other low GWP refrigerants alternative to R-134a in HVAC&R systems: A review. International Communications in Heat and Mass Transfer. 159. 108168–108168.

Yang, S.I., et al.. (2024). Effect of viscosity grade (POE) on the smooth-tube pool boiling performance with R-1234ze(E) refrigerant. Applied Thermal Engineering. 241. 122328–122328. 4 indexed citations

Yang, S.I., et al.. (2024). Defying the D2-law in fuel droplet combustion under gravity. Physics of Fluids. 36(9). 1 indexed citations

Yang, S.I., et al.. (2024). Pool boiling heat transfer performance of low-GWP refrigerant R-513A on smooth tube. Heat and Mass Transfer. 60(6). 1059–1071. 1 indexed citations

Hsiau, Shu‐San, et al.. (2023). Design optimization of fluidized bed pyrolysis for energy and exergy analysis using a simplified comprehensive multistep kinetic model. Energy. 276. 127615–127615. 9 indexed citations

Yang, S.I., et al.. (2022). Diffusion and its effects on soot production in the combustion of emulsified and nonemulsified fuel droplets. Energy. 267. 126521–126521. 10 indexed citations

Yang, S.I., et al.. (2022). Modeling microexplosion mechanism in droplet combustion: Puffing and droplet breakup. Energy. 266. 126369–126369. 17 indexed citations

10.

Cao, Jiawei, et al.. (2021). In-flame soot quantification of N-Hexadecane droplets using diffused back-illumination extinction imaging. Case Studies in Thermal Engineering. 30. 101699–101699. 9 indexed citations

11.

Hsiau, Shu‐San, et al.. (2021). Numerical modeling of biomass fast pyrolysis by using an improved comprehensive reaction scheme for energy analysis. Renewable Energy. 181. 355–364. 9 indexed citations

12.

Yang, S.I., et al.. (2017). The droplet combustion and thermal characteristics of pinewood bio-oil from slow pyrolysis. Energy. 141. 2377–2386. 33 indexed citations

13.

Yang, S.I., et al.. (2016). Spray combustion characteristics of kerosene/bio-oil part I: Experimental study. Energy. 119. 26–36. 36 indexed citations

14.

Yang, S.I., et al.. (2016). Spray combustion characteristics of kerosene/bio-oil part II: Numerical study. Energy. 115. 458–467. 26 indexed citations

15.

Wu, Min & S.I. Yang. (2016). Combustion characteristics of multi-component cedar bio-oil/kerosene droplet. Energy. 113. 788–795. 47 indexed citations

16.

Yang, S.I., et al.. (2014). Application of biomass fast pyrolysis part II: The effects that bio-pyrolysis oil has on the performance of diesel engines. Energy. 66. 172–180. 67 indexed citations

17.

Yang, S.I., et al.. (2014). Application of biomass fast pyrolysis part I: Pyrolysis characteristics and products. Energy. 66. 162–171. 103 indexed citations

18.

Shy, S.S., et al.. (2014). Correlations of high-pressure lean methane and syngas turbulent burning velocities: Effects of turbulent Reynolds, Damköhler, and Karlovitz numbers. Proceedings of the Combustion Institute. 35(2). 1509–1516. 56 indexed citations

19.

Xu, Liyun, S.I. Yang, Aiping Li, & Andréa Matta. (2011). An adaptive genetic algorithm for facility layout problem in cylinder block line. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 38. 749–753. 2 indexed citations

20.

Shy, S.S., et al.. (2001). Spatially resolved flamelet statistics for reaction rate modeling using premixed methane-air flames in a near-homogeneous turbulence. Combustion and Flame. 127(1-2). 1880–1894. 16 indexed citations

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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