Guang‐Wen Wu

460 total citations
23 papers, 401 citations indexed

About

Guang‐Wen Wu is a scholar working on Biomedical Engineering, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Guang‐Wen Wu has authored 23 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 10 papers in Materials Chemistry and 9 papers in Organic Chemistry. Recurrent topics in Guang‐Wen Wu's work include Phase Equilibria and Thermodynamics (10 papers), Material Dynamics and Properties (7 papers) and Thermodynamic properties of mixtures (5 papers). Guang‐Wen Wu is often cited by papers focused on Phase Equilibria and Thermodynamics (10 papers), Material Dynamics and Properties (7 papers) and Thermodynamic properties of mixtures (5 papers). Guang‐Wen Wu collaborates with scholars based in Australia, China and Hong Kong. Guang‐Wen Wu's co-authors include Richard J. Sadus, Kwong‐Yu Chan, Xiaomin Liu, Suojiang Zhang, Guohui Zhou, Xiaoliang Yuan, Xiaoqian Yao, B. D. Todd, Guangren Yu and Ming Lee and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Chemical Physics Letters.

In The Last Decade

Guang‐Wen Wu

22 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang‐Wen Wu Australia 12 179 139 134 88 82 23 401
Yann Danten France 12 206 1.2× 68 0.5× 216 1.6× 90 1.0× 110 1.3× 18 560
Fernando M. S. Silva Fernandes Portugal 12 94 0.5× 155 1.1× 29 0.2× 22 0.3× 56 0.7× 42 352
S. Naumov Germany 11 54 0.3× 133 1.0× 84 0.6× 24 0.3× 112 1.4× 13 444
Andreas Appelhagen Germany 10 36 0.2× 93 0.7× 146 1.1× 46 0.5× 64 0.8× 17 314
Farid Taherkhani Iran 15 99 0.6× 296 2.1× 69 0.5× 19 0.2× 35 0.4× 46 564
Sayee Prasaad Balaji Netherlands 11 236 1.3× 113 0.8× 157 1.2× 49 0.6× 33 0.4× 13 426
Hermann Weingaertner Germany 9 69 0.4× 81 0.6× 48 0.4× 108 1.2× 21 0.3× 12 347
Rosa Ramirez France 11 161 0.9× 99 0.7× 27 0.2× 41 0.5× 60 0.7× 14 419
Claudio A. Cerdeiriña Spain 12 427 2.4× 86 0.6× 306 2.3× 433 4.9× 308 3.8× 15 676
Ronald J. Roman United States 5 188 1.1× 58 0.4× 217 1.6× 54 0.6× 200 2.4× 10 485

Countries citing papers authored by Guang‐Wen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Wen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Wen Wu. 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 Guang‐Wen Wu. The network helps show where Guang‐Wen Wu may publish in the future.

Co-authorship network of co-authors of Guang‐Wen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Wen Wu. A scholar is included among the top collaborators of Guang‐Wen Wu 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 Guang‐Wen Wu. Guang‐Wen Wu 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.
Liu, Xiaomin, Guohui Zhou, Suojiang Zhang, & Guang‐Wen Wu. (2010). Molecular simulation of imidazolium amino acid-based ionic liquids. Molecular Simulation. 36(14). 1123–1130. 22 indexed citations
2.
Wu, Guang‐Wen, Jonathan Ennis‐King, & Lincoln Paterson. (2009). An improved perturbed hard-sphere equation of state. Fluid Phase Equilibria. 284(2). 118–128. 3 indexed citations
3.
Wu, Guang‐Wen, et al.. (2007). Direct synthesis of diphenyl carbonate over heterogeneous catalyst: effects of structure of substituted perovskite carrier on the catalyst activities. Frontiers of Chemical Engineering in China. 1(1). 59–64. 2 indexed citations
4.
Liu, Xiaomin, Guohui Zhou, Suojiang Zhang, Guang‐Wen Wu, & Guangren Yu. (2007). Molecular Simulation of Guanidinium-Based Ionic Liquids. The Journal of Physical Chemistry B. 111(20). 5658–5668. 47 indexed citations
5.
Liu, Xiaomin, Suojiang Zhang, Guohui Zhou, et al.. (2006). New Force Field for Molecular Simulation of Guanidinium-Based Ionic Liquids. The Journal of Physical Chemistry B. 110(24). 12062–12071. 87 indexed citations
6.
Wu, Guang‐Wen & Richard J. Sadus. (2004). New phase for one-component hard spheres. The Journal of Chemical Physics. 120(24). 11686–11691. 4 indexed citations
7.
Wu, Guang‐Wen & Richard J. Sadus. (2004). Hard sphere compressibility factors for equation of state development. AIChE Journal. 51(1). 309–313. 39 indexed citations
8.
Todd, B. D., et al.. (2003). Scaling behavior for the pressure and energy of shearing fluids. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(6). 61201–61201. 21 indexed citations
9.
Wu, Guang‐Wen & Richard J. Sadus. (2002). Molecular simulation of liquid-crystal transitions in hard prolate ellipsoid monomers and dimers. Fluid Phase Equilibria. 194-197. 227–231. 2 indexed citations
10.
Wu, Guang‐Wen & Richard J. Sadus. (2001). Liquid-crystal behavior of hard ellipsoid dimers. The Journal of Chemical Physics. 114(12). 5432–5434. 5 indexed citations
11.
Wu, Guang‐Wen, et al.. (2000). Closed-loop liquid-liquid equilibria and the global phase behaviour of binary mixtures involving hard-sphere + van der Waals interactions. Molecular Physics. 98(11). 715–723. 27 indexed citations
12.
Wu, Guang‐Wen & Richard J. Sadus. (2000). Molecular simulation of the high-pressure phase equilibria of binary atomic fluid mixtures using the exponential-6 intermolecular potential. Fluid Phase Equilibria. 170(2). 269–284. 13 indexed citations
13.
Wu, Guang‐Wen, Ming Lee, & Kwong‐Yu Chan. (1999). Grand canonical Monte Carlo simulation of an electrolyte with a solvent primitive model. Chemical Physics Letters. 307(5-6). 419–424. 15 indexed citations
14.
Wu, Guang‐Wen & Kwong‐Yu Chan. (1997). Phase behaviour of oxygen adsorbed on graphite. Fluid Phase Equilibria. 132(1-2). 21–31. 4 indexed citations
15.
Chen, GuanHua & Guang‐Wen Wu. (1997). Multi-dimensional entropy sampling Monte Carlo method and free energy landscape of Ar13. Chemical Physics Letters. 281(4-6). 343–351. 4 indexed citations
16.
Wu, Guang‐Wen & Kwong‐Yu Chan. (1997). MOLECULAR SIMULATION OF PLATINUM CLUSTERS ON GRAPHITE. Surface Review and Letters. 4(5). 855–858. 5 indexed citations
17.
Wu, Guang‐Wen & Kwong‐Yu Chan. (1996). Morphology of platinum clusters on graphite at different loadings. Surface Science. 365(1). 38–52. 24 indexed citations
18.
Zhang, Naiwen, et al.. (1990). Correlation of multiphase equilibria for asymmetric mixtures by a unified model.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 23(4). 490–494. 1 indexed citations
19.
Wu, Guang‐Wen, et al.. (1988). A unified model for strongly polar and asymmetric mixtures.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 21(2). 147–157. 4 indexed citations
20.
Wu, Guang‐Wen, et al.. (1988). High pressure vapor-liquid equilibria of four binary systems containing carbon dioxide.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 21(1). 25–29. 14 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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