Rong‐Yeu Chang

1.6k total citations
95 papers, 1.2k citations indexed

About

Rong‐Yeu Chang is a scholar working on Mechanical Engineering, Fluid Flow and Transfer Processes and Mechanics of Materials. According to data from OpenAlex, Rong‐Yeu Chang has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanical Engineering, 22 papers in Fluid Flow and Transfer Processes and 20 papers in Mechanics of Materials. Recurrent topics in Rong‐Yeu Chang's work include Rheology and Fluid Dynamics Studies (22 papers), Injection Molding Process and Properties (20 papers) and Composite Material Mechanics (17 papers). Rong‐Yeu Chang is often cited by papers focused on Rheology and Fluid Dynamics Studies (22 papers), Injection Molding Process and Properties (20 papers) and Composite Material Mechanics (17 papers). Rong‐Yeu Chang collaborates with scholars based in Taiwan and United States. Rong‐Yeu Chang's co-authors include Huan‐Chang Tseng, Maw‐Ling Wang, Chia‐Hsiang Hsu, Chao‐Tsai Huang, Louis Liu, Jiřı́ Vlček, Tim A. Osswald, Wei Chen, Francis Edward Su and Chih‐Wei Wang and has published in prestigious journals such as The Journal of Chemical Physics, Journal of The Electrochemical Society and Physical Chemistry Chemical Physics.

In The Last Decade

Rong‐Yeu Chang

95 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rong‐Yeu Chang Taiwan 18 481 425 224 191 163 95 1.2k
Thierry Coupez France 27 704 1.5× 667 1.6× 242 1.1× 176 0.9× 41 0.3× 74 1.9k
R.R. Huilgol Australia 23 235 0.5× 132 0.3× 915 4.1× 93 0.5× 103 0.6× 97 1.6k
Filippo de Monte Italy 21 535 1.1× 374 0.9× 77 0.3× 14 0.1× 51 0.3× 82 1.3k
Y. Jarny France 16 501 1.0× 466 1.1× 30 0.1× 67 0.4× 24 0.1× 59 1.1k
Chady Ghnatios France 14 278 0.6× 254 0.6× 50 0.2× 24 0.1× 101 0.6× 84 698
Sorin Vlase Romania 20 458 1.0× 813 1.9× 20 0.1× 43 0.2× 168 1.0× 185 1.6k
Jörg Brummund Germany 17 182 0.4× 371 0.9× 61 0.3× 66 0.3× 34 0.2× 44 908
Yiming Chen China 21 134 0.3× 408 1.0× 21 0.1× 63 0.3× 290 1.8× 110 1.6k
F. Chinesta France 11 127 0.3× 254 0.6× 81 0.4× 15 0.1× 74 0.5× 19 532
M.F. Webster United Kingdom 27 277 0.6× 162 0.4× 2.1k 9.3× 284 1.5× 157 1.0× 138 2.7k

Countries citing papers authored by Rong‐Yeu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Rong‐Yeu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rong‐Yeu Chang. 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 Rong‐Yeu Chang. The network helps show where Rong‐Yeu Chang may publish in the future.

Co-authorship network of co-authors of Rong‐Yeu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Rong‐Yeu Chang. A scholar is included among the top collaborators of Rong‐Yeu Chang 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 Rong‐Yeu Chang. Rong‐Yeu Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tseng, Huan‐Chang & Rong‐Yeu Chang. (2024). The identification of the generalised Maxwell fluid for n -hexadecane liquids via non-equilibrium molecular dynamics simulations. Molecular Simulation. 50(6). 463–469. 1 indexed citations
2.
Chen, Wei, et al.. (2023). A deep learning empowered smart representative volume element method for long fiber woven composites. Frontiers in Materials. 10. 4 indexed citations
3.
4.
Tseng, Huan‐Chang, Rong‐Yeu Chang, & Chia‐Hsiang Hsu. (2018). Comparison of recent fiber orientation models in injection molding simulation of fiber-reinforced composites. Journal of Thermoplastic Composite Materials. 33(1). 35–52. 28 indexed citations
5.
Tseng, Huan‐Chang, Rong‐Yeu Chang, & Chia‐Hsiang Hsu. (2017). The use of principal spatial tensor to predict anisotropic fiber orientation in concentrated fiber suspensions. Journal of Rheology. 62(1). 313–320. 22 indexed citations
6.
Tseng, Huan‐Chang, Rong‐Yeu Chang, & Chia‐Hsiang Hsu. (2017). Accurate predictions of orientation dependent modulus in short‐fiber‐reinforced composite with experimental validation. Polymer Composites. 39(8). 2847–2859. 16 indexed citations
7.
Huang, Chao‐Tsai, Yang Yang, & Rong‐Yeu Chang. (2015). Dynamic penetration behavior of core-material in multi-cavity co-injection molding. AIP conference proceedings. 1693. 20002–20002. 2 indexed citations
8.
Tseng, Huan‐Chang, et al.. (2012). THREE DIMENSIONAL PREDICTIONS OF FIBER ORIENTATION FOR INJECTION MOLDING OF LONG FIBER REINFORCED THERMOPLASTICS. 3 indexed citations
9.
Chang, Rong‐Yeu, et al.. (2010). Accurate ab initio calculation of the Ar–CF 4 intermolecular potential energy surface. Molecular Simulation. 36(14). 1111–1122. 1 indexed citations
10.
Tseng, Huan‐Chang, et al.. (2009). Material functions of liquid n-hexadecane under steady shear via nonequilibrium molecular dynamics simulations: Temperature, pressure, and density effects. The Journal of Chemical Physics. 130(8). 84904–84904. 10 indexed citations
11.
Tseng, Huan‐Chang, et al.. (2009). Nanocontraction flows of short-chain polyethylene via molecular dynamics simulations. Molecular Simulation. 35(8). 691–704. 4 indexed citations
12.
Tseng, Huan‐Chang, et al.. (2008). Shear thinning and shear dilatancy of liquid n-hexadecane via equilibrium and nonequilibrium molecular dynamics simulations: Temperature, pressure, and density effects. The Journal of Chemical Physics. 129(1). 14502–14502. 27 indexed citations
13.
Chang, Rong‐Yeu, et al.. (2004). Three-dimensional CAE of wire-sweep in microchip encapsulation. 2. 1679–1683. 3 indexed citations
14.
Liu, Louis, et al.. (2004). Integrated numerical simulation of injection molding using true 3D approach. 1. 486–490. 13 indexed citations
15.
Wang, Maw‐Ling, et al.. (1987). Analysis of systems with multiple time-varying delays via generalized block pulse functions. International Journal of Systems Science. 18(3). 543–552. 2 indexed citations
16.
Chang, Rong‐Yeu, et al.. (1987). Solution of integral equations via generalized orthogonal polynomials. International Journal of Systems Science. 18(3). 553–568. 1 indexed citations
17.
Chang, Rong‐Yeu, et al.. (1985). Solution of functional differential equations via generalized block pulse functions. International Journal of Systems Science. 16(11). 1431–1440. 2 indexed citations
18.
Chang, Rong‐Yeu & Maw‐Ling Wang. (1984). Shifted Legendre function approximation of differential equations; application to crystallization processes. Computers & Chemical Engineering. 8(2). 117–125. 19 indexed citations
19.
Wang, Maw‐Ling & Rong‐Yeu Chang. (1983). LEGENDRE FUNCTION APPROXIMATIONS OF ORDINARY DIFFERENTIAL EQUATION AND APPLICATION TO CONTINUOUS CRYSTALLIZATION PROCESSES. Chemical Engineering Communications. 22(1-2). 115–125. 4 indexed citations
20.
Chang, Rong‐Yeu & Maw‐Ling Wang. (1982). Parameter identification via shifted Legendre polynomials. International Journal of Systems Science. 13(10). 1125–1135. 56 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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