Van‐Quan Vuong

875 citations
23 papers · 503 indexed · h-index 12
Topics
Advanced Chemical Physics Studies (7 papers)Protein Structure and Dynamics (6 papers)Machine Learning in Materials Science (5 papers)

In The Last Decade

Van‐Quan Vuong

21 papers receiving 497 citations

Peers

Van‐Quan Vuong
Comparison fields: 5 of 78
  • Materials Chemistry 186
  • Molecular Biology 178
  • Atomic and Molecular Physics, and Optics 123
  • Physiology 90
  • Electrical and Electronic Engineering 90
Replace Erik G. Brandt with:
Erik G. Brandt Sweden
Myungshim Kang United States
Michelle Lynn Hall United States
Shahin Sowlati‐Hashjin Canada
Vladimir V. Ermolenkov United States
Sylvain Clède France
А. В. Аганов Russia
Fuchun Ge China
Sara Y. Cheng United States
Anmol Kumar United States
Van‐Quan Vuong relative to Erik G. Brandt Sweden Erik G. Brandt's profile →
Citations per field
00.5×3.2×
Erik G. Brandt · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 2
4 6
5 4
6 4
7 24
8 12
9 8
10 21
11 2
12 11
13 4
14 46
15 35
16 73
17 62
18 16
19 15
20 46

About Van‐Quan Vuong

Van‐Quan Vuong is a scholar working on Physical and Theoretical Chemistry, Catalysis and Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 503 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (7 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Computational Theory and Mathematics (74 citations), Catalysis (28 citations) and Materials Chemistry (186 citations). Van‐Quan Vuong has collaborated with scholars based in United States, Poland and Germany. Frequent 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. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and ACS Nano.

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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