Mun-Hong Hui

832 citations
32 papers · 680 · h-index 14

Impact in

Papers in

    • Reservoir Engineering and Simulation Methods 21
    • Enhanced Oil Recovery Techniques 14
    • Drilling and Well Engineering 9
    • Hydraulic Fracturing and Reservoir Analysis 28

Mun-Hong Hui

27 papers receiving 646 citations

Peers

Mun-Hong Hui
Comparison fields: 5 of 53
  • Ocean Engineering 503
  • Environmental Engineering 201
  • Mechanical Engineering 476
  • Mechanics of Materials 206
  • Geophysics 85
Replace Ayaz Mehmani with:
Ayaz Mehmani United States
Jamal H. Abou‐Kassem Canada
Julien Maes United Kingdom
Alessio Scanziani United Kingdom
Mehdi Shabaninejad Australia
Ramon G. Bentsen Canada
Richard G. Hughes United States
Ahmed AlRatrout United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Mun-Hong Hui

Since Specialization
Citations

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

Fields of papers citing papers by Mun-Hong Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mun-Hong Hui. 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 Mun-Hong Hui. The network helps show where Mun-Hong Hui may publish in the future.

Co-authors

The 25 scholars most cited alongside Mun-Hong Hui, 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 Mun-Hong Hui Line = papers co-authored together Mun-Hong Hui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000189
2 2011130
3 201839
4 201336
5 201736
6 200029
7 201927
8 200823
9 200522
10 200719
11 200718
12 200914
13 200813
14 202113
15 201613
16 200511
17 20078
18 20138
19 20047
20 20146

About Mun-Hong Hui

Mun-Hong Hui is a scholar working on Ocean Engineering, Mechanical Engineering, Mechanics of Materials, Computational Theory and Mathematics and Environmental Engineering, having authored 32 papers that have together received 680 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (28 papers), Reservoir Engineering and Simulation Methods (21 papers), Enhanced Oil Recovery Techniques (14 papers), Drilling and Well Engineering (9 papers), Hydrocarbon exploration and reservoir analysis (6 papers), Advanced Mathematical Modeling in Engineering (5 papers), Seismic Imaging and Inversion Techniques (4 papers) and Groundwater flow and contamination studies (4 papers). The work is most often cited by research in Ocean Engineering (503 citations), Environmental Engineering (201 citations), Mechanical Engineering (476 citations), Mechanics of Materials (206 citations) and Geophysics (85 citations). Mun-Hong Hui has collaborated with scholars based in Netherlands, United States and China. Frequent co-authors include Martin J. Blunt, Bradley Mallison, Louis J. Durlofsky, Wayne Narr, Seong H. Lee, Ali Moinfar, Kok-Thye Lim, M. Karimi‐Fard, Wenyue Sun and Jairam Kamath. Their work appears in journals such as SPE Reservoir Evaluation & Engineering, The Journal of Physical Chemistry B, Computational Geosciences, SPE Journal and Journal of Petroleum Science and Engineering.

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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