Hai Hoang

662 citations
36 papers · 485 indexed · h-index 13

Impact in

Papers in

Hai Hoang

33 papers receiving 464 citations

Peers

Hai Hoang
Comparison fields: 5 of 51
  • Fluid Flow and Transfer Processes 84
  • Biomedical Engineering 270
  • Computational Mechanics 118
  • Environmental Engineering 71
  • Statistical and Nonlinear Physics 61
Replace Olga Lobanova with:
Olga Lobanova Russia
Е. Е. Городецкий Russia
Václav Vinš Czechia
Bruno Mendiboure France
José Manuel Mı́guez Spain
B. S. Carey United States
Frédéric Biscay France
Monika Thol Germany
V. V. Pisarev Russia
F.M. Mourits Canada
Hai Hoang relative to Olga Lobanova Russia Olga Lobanova's profile →
Citations per field
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Olga Lobanova · 1×
Citations per year

Countries citing papers authored by Hai Hoang

Since Specialization
Citations

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

Fields of papers citing papers by Hai Hoang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Hoang. 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 Hai Hoang. The network helps show where Hai Hoang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hai Hoang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hai Hoang Line = papers co-authored together Hai Hoang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 202412
5 202349
6 20224
7 202217
8 20223
9 20212
10 20201
11 201910
12 20198
13 201733
14 20156
15 201318
16 201314
17 201269
18 201236
19 20062
20 20010

About Hai Hoang

Hai Hoang is a scholar working on Fluid Flow and Transfer Processes, Condensed Matter Physics, Computational Mechanics, Biomedical Engineering and Mechanics of Materials, having authored 36 papers that have together received 485 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (19 papers), Hydrocarbon exploration and reservoir analysis (10 papers), Material Dynamics and Properties (10 papers), Field-Flow Fractionation Techniques (8 papers), Thermodynamic properties of mixtures (7 papers), Theoretical and Computational Physics (6 papers), Chemical Thermodynamics and Molecular Structure (5 papers) and Nanopore and Nanochannel Transport Studies (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (84 citations), Biomedical Engineering (270 citations), Computational Mechanics (118 citations), Environmental Engineering (71 citations) and Statistical and Nonlinear Physics (61 citations). Hai Hoang has collaborated with scholars based in France, Vietnam and South Korea. Frequent co-authors include Guillaume Galliéro, Jean-Patrick Bazile, Salaheddine Chabab, Pierre Cézac, Ian H. Bell, François Montel, Christian Boned, Ho Khac Hieu, Jean‐Luc Daridon and Olivier Baudouin. Their work appears in journals such as The Journal of Chemical Physics, International Journal of Hydrogen Energy, The European Physical Journal E, Fluid Phase Equilibria and Geochimica et Cosmochimica Acta.

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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