Hsi‐Wu Wong

2.1k total citations
75 papers, 1.5k citations indexed

About

Hsi‐Wu Wong is a scholar working on Materials Chemistry, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Hsi‐Wu Wong has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 14 papers in Biomedical Engineering and 12 papers in Automotive Engineering. Recurrent topics in Hsi‐Wu Wong's work include Catalytic Processes in Materials Science (13 papers), Vehicle emissions and performance (12 papers) and Air Quality and Health Impacts (11 papers). Hsi‐Wu Wong is often cited by papers focused on Catalytic Processes in Materials Science (13 papers), Vehicle emissions and performance (12 papers) and Air Quality and Health Impacts (11 papers). Hsi‐Wu Wong collaborates with scholars based in United States and Belgium. Hsi‐Wu Wong's co-authors include Linda J. Broadbelt, Todd M. Kruse, Oluwayemisi O. Oluwole, William H. Green, Richard C. Miake‐Lye, Oh Sang Woo, Yu Shi, Peng Yu, Mark T. Swihart and Jay Peck and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Hsi‐Wu Wong

73 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsi‐Wu Wong United States 24 352 340 249 219 219 75 1.5k
R.S. Lehrle United Kingdom 25 356 1.0× 561 1.6× 946 3.8× 66 0.3× 145 0.7× 101 1.9k
Xiaoyu Guo China 21 267 0.8× 435 1.3× 66 0.3× 181 0.8× 38 0.2× 82 1.2k
Earl Goetheer Netherlands 33 1.5k 4.2× 400 1.2× 57 0.2× 77 0.4× 32 0.1× 127 3.6k
J. Graham United States 15 332 0.9× 232 0.7× 42 0.2× 139 0.6× 12 0.1× 37 1.0k
Matteo Pelucchi Italy 29 969 2.8× 910 2.7× 163 0.7× 161 0.7× 265 1.2× 86 3.4k
Ruben Van de Vijver Belgium 17 434 1.2× 421 1.2× 189 0.8× 31 0.1× 255 1.2× 41 1.5k
Karlheinz Schaber Germany 27 845 2.4× 372 1.1× 52 0.2× 71 0.3× 13 0.1× 94 2.1k
Won-Seok Chang South Korea 25 322 0.9× 411 1.2× 97 0.4× 243 1.1× 169 0.8× 66 2.8k
Arno de Klerk Canada 31 1.6k 4.6× 1.1k 3.3× 71 0.3× 42 0.2× 61 0.3× 154 4.0k
Árpád Bence Palotás Hungary 16 239 0.7× 283 0.8× 18 0.1× 136 0.6× 59 0.3× 35 837

Countries citing papers authored by Hsi‐Wu Wong

Since Specialization
Citations

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

Fields of papers citing papers by Hsi‐Wu Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsi‐Wu Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Hsi‐Wu Wong. A scholar is included among the top collaborators of Hsi‐Wu Wong 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 Hsi‐Wu Wong. Hsi‐Wu Wong 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.
Ali, Majid, et al.. (2025). Investigating proton exchange membrane electrolyzer performance under variable renewable power: Insights into voltage and stack efficiency. Journal of Electroanalytical Chemistry. 988. 119130–119130.
2.
Xie, Dongming, et al.. (2024). In‐Situ Product Removal for the Enzymatic Depolymerization of Poly(ethylene terephthalate) via a Membrane Reactor. ChemSusChem. 18(3). e202400698–e202400698. 4 indexed citations
3.
Wong, Hsi‐Wu, et al.. (2024). Enzymatic depolymerization of polyester: Foaming as a pretreatment to increase specific surface area. Journal of Applied Polymer Science. 141(44). 2 indexed citations
4.
5.
Mack, J. Hunter, et al.. (2023). Hydrogen from cellulose and low-density polyethylene via atmospheric pressure nonthermal plasma. International Journal of Hydrogen Energy. 49. 745–763. 4 indexed citations
6.
Tekbaş, Mesut, et al.. (2023). Molten plastic induced noncovalent interactions for tunable cellulose fast pyrolysis. Green Chemistry. 25(23). 10010–10019. 6 indexed citations
7.
Akers, Kevin S., Peng Yu, Christopher Drew, et al.. (2022). Nonthermal atmospheric plasma reactors for hydrogen production from low-density polyethylene. International Journal of Hydrogen Energy. 47(94). 39743–39757. 18 indexed citations
8.
Soong, Ya‐Hue Valerie, et al.. (2022). Understanding Consequences and Tradeoffs of Melt Processing as a Pretreatment for Enzymatic Depolymerization of Poly(ethylene terephthalate). Macromolecular Rapid Communications. 43(13). e2100929–e2100929. 24 indexed citations
9.
Liu, Na, et al.. (2021). Biomanufacturing of value‐added products from oils or fats: A case study on cellular and fermentation engineering of Yarrowia lipolytica. Biotechnology and Bioengineering. 118(4). 1658–1673. 11 indexed citations
10.
Schwartz, Thomas J., et al.. (2019). Screening Compounds for Fast Pyrolysis and Catalytic Biofuel Upgrading Using Artificial Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
11.
Li, Zhiyang, et al.. (2018). Vertically Aligned and Surface Roughed Pt Nanostructured Wire Array as High Performance Electrocatalysts for Methanol Oxidation. ACS Applied Energy Materials. 1(8). 3973–3983. 18 indexed citations
12.
Wong, Hsi‐Wu, A. J. Beyersdorf, Luke D. Ziemba, et al.. (2013). Laboratory and modeling studies on the effects of water and soot emissions and ambient conditions on the properties of contrail ice particles in the jet regime. Atmospheric chemistry and physics. 13(19). 10049–10060. 35 indexed citations
13.
Magoon, Gregory R., Jorge Aguilera‐Iparraguirre, William H. Green, et al.. (2012). Detailed chemical kinetic modeling of JP‐10 (exo‐tetrahydrodicyclopentadiene) high‐temperature oxidation: Exploring the role of biradical species in initial decomposition steps. International Journal of Chemical Kinetics. 44(3). 179–193. 38 indexed citations
14.
Wong, Hsi‐Wu & Richard C. Miake‐Lye. (2010). Parametric studies of contrail ice particle formation in jet regime using microphysical parcel modeling. Atmospheric chemistry and physics. 10(7). 3261–3272. 31 indexed citations
15.
16.
Kruse, Todd M., Hsi‐Wu Wong, & Linda J. Broadbelt. (2003). Modeling the Evolution of the Full Polystyrene Molecular Weight Distribution during Polystyrene Pyrolysis. Industrial & Engineering Chemistry Research. 42(12). 2722–2735. 37 indexed citations
17.
Giordano, Domenico, et al.. (2001). Aerothermodynamic analysis of space-vehicle phenomena. 105. 69–79. 3 indexed citations
18.
Wong, Hsi‐Wu, et al.. (1999). Numerical Assessment on the Heating of the Rudder/Fin Gap in X38 Space Vehicle. ESASP. 426. 77. 2 indexed citations
19.
Marraffa, L., et al.. (1995). DSMC applied to Ariane 5 payload aerothermal environment predictions. 1 indexed citations
20.
Wong, Hsi‐Wu. (1984). N.M.R. studies of aldonolactones. The 80-MHz proton N.M.R. and 20-MHz proton-coupled 13C N.M.R. of D-Arabinono-1,4-lactone in D2O solutions. Australian Journal of Chemistry. 37(2). 327–333. 1 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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