Hung Vo Thanh

3.5k total citations · 1 hit paper
109 papers, 2.6k citations indexed

About

Hung Vo Thanh is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Hung Vo Thanh has authored 109 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Ocean Engineering, 47 papers in Mechanical Engineering and 41 papers in Mechanics of Materials. Recurrent topics in Hung Vo Thanh's work include Hydrocarbon exploration and reservoir analysis (35 papers), Hydraulic Fracturing and Reservoir Analysis (34 papers) and Enhanced Oil Recovery Techniques (34 papers). Hung Vo Thanh is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (35 papers), Hydraulic Fracturing and Reservoir Analysis (34 papers) and Enhanced Oil Recovery Techniques (34 papers). Hung Vo Thanh collaborates with scholars based in China, Vietnam and South Korea. Hung Vo Thanh's co-authors include Yuichi Sugai, Kang‐Kun Lee, Kyuro Sasaki, Zhenxue Dai, Umar Ashraf, Hemeng Zhang, Mohammad Rahimi, Ronald Nguele, Watheq J. Al‐Mudhafar and Qamar Yasin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Hung Vo Thanh

100 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production

2024 47 citations Hung Vo Thanh, Zhenxue Dai et al. International Journal of Hydrogen Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hung Vo Thanh China	32	1.2k	1.0k	901	804	301	109	2.6k
Zhengmeng Hou China	32	860 0.7×	1.1k 1.1×	1.2k 1.3×	1.1k 1.4×	650 2.2×	143	3.4k
Zhenyu Zhang China	30	923 0.8×	791 0.8×	1.6k 1.8×	807 1.0×	207 0.7×	162	3.2k
Anna Korre United Kingdom	33	967 0.8×	1.2k 1.1×	854 0.9×	1.4k 1.8×	277 0.9×	144	3.5k
Shadfar Davoodi Russia	33	1.4k 1.2×	1.2k 1.2×	740 0.8×	334 0.4×	164 0.5×	74	2.4k
Qian Sun China	28	1.7k 1.4×	699 0.7×	993 1.1×	369 0.5×	166 0.6×	121	2.8k
Zeeshan Tariq Saudi Arabia	28	2.1k 1.8×	1.8k 1.7×	928 1.0×	403 0.5×	242 0.8×	199	3.0k
Songqi Pan China	30	711 0.6×	685 0.7×	1.6k 1.8×	227 0.3×	192 0.6×	82	2.7k
Vamegh Rasouli United States	34	2.0k 1.7×	2.0k 1.9×	1.9k 2.2×	548 0.7×	538 1.8×	219	3.6k
Zhixue Sun China	21	664 0.6×	918 0.9×	866 1.0×	660 0.8×	104 0.3×	47	2.0k

Countries citing papers authored by Hung Vo Thanh

Since Specialization

Citations

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

Fields of papers citing papers by Hung Vo Thanh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung Vo Thanh. 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 Hung Vo Thanh. The network helps show where Hung Vo Thanh may publish in the future.

Co-authorship network of co-authors of Hung Vo Thanh

This figure shows the co-authorship network connecting the top 25 collaborators of Hung Vo Thanh. A scholar is included among the top collaborators of Hung Vo Thanh 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 Hung Vo Thanh. Hung Vo Thanh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Lulu, Meifeng Cai, Zhenxue Dai, et al.. (2025). Fractal and NMR based characterizations of multi-scale pore structure alterations in tight sandstones due to scCO2-water–rock interactions. Chemical Engineering Journal. 508. 160898–160898. 13 indexed citations

Xu, Lulu, Shangxian Yin, Shuning Dong, et al.. (2025). Enhanced prediction and uncertainty analysis for hydrogen production rate in depleted oil and gas reservoirs using advanced machine learning techniques. Geoenergy Science and Engineering. 249. 213795–213795. 3 indexed citations

Zhang, Hemeng, et al.. (2024). Investigate on spontaneous combustion characteristics of lignite stockpiles considering moisture and particle size effects. Energy. 309. 133193–133193. 9 indexed citations

Thanh, Hung Vo, Hemeng Zhang, Xiaoying Liu, et al.. (2024). Advanced machine learning schemes for prediction CO2 flux based experimental approach in underground coal fire areas. Journal of Advanced Research. 70. 587–601. 5 indexed citations

Al‐Mudhafar, Watheq J., et al.. (2024). Developing a semi-analytical model for estimating mechanical properties of sandstone reservoirs: Enhancing applications in hydrocarbon production and underground gas storage. Geoenergy Science and Engineering. 240. 213014–213014. 10 indexed citations

Thanh, Hung Vo, et al.. (2024). Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach. International Journal of Hydrogen Energy. 83. 1–12. 13 indexed citations

Davoodi, Shadfar, Hung Vo Thanh, David A. Wood, et al.. (2024). Carbon dioxide storage and cumulative oil production predictions in unconventional reservoirs applying optimized machine-learning models. Petroleum Science. 22(1). 296–323. 8 indexed citations

Wang, Zihao, Zhenxue Dai, Xiaoying Zhang, et al.. (2024). Environmental risk evaluation for radionuclide transport through natural barriers of nuclear waste disposal with multi-scale streamline approaches. The Science of The Total Environment. 953. 176084–176084. 6 indexed citations

Liu, Wei, et al.. (2024). Investigating steeply inclined abandoned mines for unlocking the secrets of water level recovery. Scientific Reports. 14(1). 31142–31142. 1 indexed citations

10.

Ewees, Ahmed A., et al.. (2024). Smart predictive viscosity mixing of CO2–N2 using optimized dendritic neural networks to implicate for carbon capture utilization and storage. Journal of environmental chemical engineering. 12(2). 112210–112210. 19 indexed citations

11.

Ma, Funing, Zhijie Yang, Weiliang Wang, et al.. (2024). Retardation factor scaling for contaminant transport in fractured media. Advances in Water Resources. 188. 104709–104709. 2 indexed citations

12.

Liu, Wei, et al.. (2024). Experimental study and application of similar materials in thick coal seam mining. Frontiers in Energy Research. 12. 1 indexed citations

13.

Rahimi, Mohammad, Hossein Mashhadimoslem, Hung Vo Thanh, et al.. (2023). Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques. Energy. 283. 128546–128546. 31 indexed citations

14.

Dai, Zhenxue, Zhichao Zhou, Zhijie Yang, et al.. (2023). Upscaling dispersivity for conservative solute transport in naturally fractured media. Water Research. 235. 119844–119844. 49 indexed citations

15.

Rahimi, Mohammad, et al.. (2023). A multi-criteria decision-making (MCDM) approach to determine the synthesizing routes of biomass-based carbon electrode material in supercapacitors. Journal of Cleaner Production. 397. 136606–136606. 24 indexed citations

16.

Thanh, Hung Vo, Mohammad Rahimi, Zhenxue Dai, Hemeng Zhang, & Tao Zhang. (2023). Predicting the wettability rocks/minerals-brine-hydrogen system for hydrogen storage: Re-evaluation approach by multi-machine learning scheme. Fuel. 345. 128183–128183. 54 indexed citations

17.

Davoodi, Shadfar, Hung Vo Thanh, David A. Wood, et al.. (2023). Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites. Expert Systems with Applications. 222. 119796–119796. 73 indexed citations

18.

Thanh, Hung Vo, Hemeng Zhang, Zhenxue Dai, et al.. (2023). Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage. International Journal of Hydrogen Energy. 55. 1422–1433. 56 indexed citations

19.

Hanif, Muhammad, Ahmed E. Radwan, Chuanxiu Luo, et al.. (2023). Depositional and diagenetic modeling of the Margala Hill Limestone, Hazara area (Pakistan): Implications for reservoir characterization using outcrop analogues. Geoenergy Science and Engineering. 224. 211584–211584. 18 indexed citations

20.

Thanh, Hung Vo, et al.. (2023). Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects. Energy. 278. 127860–127860. 45 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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