Van‐Quan Vuong

875 total citations
23 papers, 503 citations indexed

About

Van‐Quan Vuong is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Van‐Quan Vuong has authored 23 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Materials Chemistry and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Van‐Quan Vuong's work include Advanced Chemical Physics Studies (7 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Materials Science (5 papers). Van‐Quan Vuong is often cited by papers focused on Advanced Chemical Physics Studies (7 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Materials Science (5 papers). Van‐Quan Vuong collaborates with scholars based in United States, Poland and Germany. Van‐Quan Vuong's co-authors include Stephan Irle, Mai Suan Li, Bobby G. Sumpter, Thomas A. Niehaus, Tin Trung Nguyen, Pham Dinh Quoc Huy, Peter Faller, Giovanni La Penna, A. K. Jissy and Julian Kranz and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and ACS Nano.

In The Last Decade

Van‐Quan Vuong

21 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Van‐Quan Vuong United States 12 186 178 123 90 90 23 503
Vladimir V. Ermolenkov United States 15 256 1.4× 398 2.2× 100 0.8× 140 1.6× 59 0.7× 30 760
Erik G. Brandt Sweden 16 223 1.2× 418 2.3× 239 1.9× 28 0.3× 42 0.5× 24 805
Shahin Sowlati‐Hashjin Canada 12 93 0.5× 143 0.8× 75 0.6× 20 0.2× 89 1.0× 20 472
Sara Y. Cheng United States 8 108 0.6× 280 1.6× 141 1.1× 31 0.3× 28 0.3× 14 431
А. В. Аганов Russia 15 59 0.3× 254 1.4× 25 0.2× 27 0.3× 76 0.8× 76 617
Michelle Lynn Hall United States 9 60 0.3× 192 1.1× 38 0.3× 13 0.1× 73 0.8× 11 446
Sylvain Clède France 13 172 0.9× 193 1.1× 27 0.2× 15 0.2× 39 0.4× 17 709
Vytautas Petrauskas Lithuania 12 64 0.3× 236 1.3× 45 0.4× 24 0.3× 22 0.2× 38 394
Hui‐Hsu Gavin Tsai Taiwan 17 260 1.4× 290 1.6× 38 0.3× 129 1.4× 63 0.7× 34 650
Stefania Cinelli Italy 19 306 1.6× 547 3.1× 206 1.7× 27 0.3× 32 0.4× 34 800

Countries citing papers authored by Van‐Quan Vuong

Since Specialization
Citations

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

Fields of papers citing papers by Van‐Quan Vuong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van‐Quan Vuong. 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 Van‐Quan Vuong. The network helps show where Van‐Quan Vuong may publish in the future.

Co-authorship network of co-authors of Van‐Quan Vuong

This figure shows the co-authorship network connecting the top 25 collaborators of Van‐Quan Vuong. A scholar is included among the top collaborators of Van‐Quan Vuong 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 Van‐Quan Vuong. Van‐Quan Vuong 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.
Vuong, Van‐Quan, et al.. (2025). Evaluation of Density‐Functional Tight‐Binding Methods for Simulation of Protic Molecular Ion Pairs. Journal of Computational Chemistry. 46(5). e70064–e70064.
2.
Sun, Wenbo, Tammo van der Heide, Van‐Quan Vuong, et al.. (2025). Hybrid Functional DFTB Parametrizations for Modeling Organic Photovoltaic Systems. Journal of Chemical Theory and Computation. 21(10). 5103–5117.
3.
Zhou, Chen, Marlen Neubert, Y. Koide, et al.. (2025). PAL – parallel active learning for machine-learned potentials. Digital Discovery. 4(7). 1901–1911. 2 indexed citations
4.
Vuong, Van‐Quan, B. Hourahine, Bálint Aradi, et al.. (2023). Accelerating the density-functional tight-binding method using graphical processing units. The Journal of Chemical Physics. 158(8). 84802–84802. 6 indexed citations
5.
Vuong, Van‐Quan, Bálint Aradi, Anders M. N. Niklasson, Qiang Cui, & Stephan Irle. (2023). Multipole Expansion of Atomic Electron Density Fluctuation Interactions in the Density-Functional Tight-Binding Method. Journal of Chemical Theory and Computation. 19(21). 7592–7605. 4 indexed citations
6.
Vuong, Van‐Quan & Qiang Cui. (2023). Reparameterization of the chemical-potential equalization model with DFTB3: A practical balance between accuracy and transferability. The Journal of Chemical Physics. 158(6). 64111–64111. 4 indexed citations
7.
Prates, Érica T., Michael R. Garvin, Irimpan I. Mathews, et al.. (2022). Structural and functional characterization of NEMO cleavage by SARS-CoV-2 3CLpro. Nature Communications. 13(1). 5285–5285. 24 indexed citations
8.
Matsumoto, Ray A., Matthew W. Thompson, Van‐Quan Vuong, et al.. (2021). Investigating the Accuracy of Water Models through the Van Hove Correlation Function. Journal of Chemical Theory and Computation. 17(10). 5992–6005. 12 indexed citations
9.
Varella, Márcio T. do N., Ljiljana Stojanović, Van‐Quan Vuong, et al.. (2021). How the Size and Density of Charge-Transfer Excitons Depend on Heterojunction’s Architecture. The Journal of Physical Chemistry C. 125(10). 5458–5474. 8 indexed citations
10.
Vuong, Van‐Quan, et al.. (2020). Density-functional tight-binding for phosphine-stabilized nanoscale gold clusters. Chemical Science. 11(48). 13113–13128. 21 indexed citations
11.
Irle, Stephan, et al.. (2020). Protein Molecular Dynamics Simulations with Approximate QM: What Can We Learn?. Methods in molecular biology. 2114. 149–161. 2 indexed citations
12.
13.
Lee, Ka Hung, Van‐Quan Vuong, Victor Fung, De‐en Jiang, & Stephan Irle. (2019). Density-Functional Tight-Binding for Platinum Clusters and Bulk: Electronic vs Repulsive Parameters. MRS Advances. 4(33-34). 1821–1832. 4 indexed citations
14.
Vuong, Van‐Quan, et al.. (2019). Artificial neural network correction for density-functional tight-binding molecular dynamics simulations. MRS Communications. 9(3). 867–873. 46 indexed citations
15.
Vuong, Van‐Quan, Yoshio Nishimoto, Dmitri G. Fedorov, et al.. (2019). The Fragment Molecular Orbital Method Based on Long-Range Corrected Density-Functional Tight-Binding. Journal of Chemical Theory and Computation. 15(5). 3008–3020. 35 indexed citations
16.
Vuong, Van‐Quan, A. K. Jissy, Maximilian Kubillus, et al.. (2017). Parametrization and Benchmark of Long-Range Corrected DFTB2 for Organic Molecules. Journal of Chemical Theory and Computation. 14(1). 115–125. 73 indexed citations
17.
Huy, Pham Dinh Quoc, Van‐Quan Vuong, Giovanni La Penna, Peter Faller, & Mai Suan Li. (2016). Impact of Cu(II) Binding on Structures and Dynamics of Aβ42 Monomer and Dimer: Molecular Dynamics Study. ACS Chemical Neuroscience. 7(10). 1348–1363. 62 indexed citations
18.
Vuong, Van‐Quan, Penumaka Nagababu, Chein‐Hung Chen, et al.. (2015). Inactivation of the particulate methane monooxygenase (pMMO) in Methylococcus capsulatus (Bath) by acetylene. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1854(12). 1842–1852. 16 indexed citations
19.
Vuong, Van‐Quan, Zuzana Bednáriková, Andrea Antošová, et al.. (2015). Inhibition of insulin amyloid fibrillization by glyco-acridines: anin vitroandin silicostudy. MedChemComm. 6(5). 810–822. 15 indexed citations
20.
Vuong, Van‐Quan, Tin Trung Nguyen, & Mai Suan Li. (2015). A New Method for Navigating Optimal Direction for Pulling Ligand from Binding Pocket: Application to Ranking Binding Affinity by Steered Molecular Dynamics. Journal of Chemical Information and Modeling. 55(12). 2731–2738. 46 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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