Shaowen Mao

683 total citations · 1 hit paper
32 papers, 511 citations indexed

About

Shaowen Mao is a scholar working on Mechanical Engineering, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, Shaowen Mao has authored 32 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 16 papers in Environmental Engineering and 15 papers in Ocean Engineering. Recurrent topics in Shaowen Mao's work include Hydraulic Fracturing and Reservoir Analysis (18 papers), CO2 Sequestration and Geologic Interactions (14 papers) and Drilling and Well Engineering (8 papers). Shaowen Mao is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (18 papers), CO2 Sequestration and Geologic Interactions (14 papers) and Drilling and Well Engineering (8 papers). Shaowen Mao collaborates with scholars based in United States, China and Australia. Shaowen Mao's co-authors include Kan Wu, Mohamed Mehana, Mohamed Lamine Malki, Bailian Chen, Zhuo Zhang, Fangxuan Chen, Prashanth Siddhamshetty, Joseph Sang‐Il Kwon, George J. Moridis and Zhuo Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Applied Energy.

In The Last Decade

Shaowen Mao

29 papers receiving 491 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.

Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning

2024 55 citations Shaowen Mao, Bailian Chen et al. Applied Energy profile →

Peers

Shaowen Mao

ME

OE

EE

MM

EC

Saeed Mahmoodpour Germany

Mohamed Lamine Malki United States

Maartje Boon United States

Mujahid Ali Australia

Zhenkai Bo Australia

Maksim Lysyy Norway

Mojdeh Rasoulzadeh United States

Pierre Cerasi Norway

Mohammad Masoudi Norway

U.‐J. Görke Germany

Saeed Mahmoodpour Germany

Shaowen Mao

266 ×0.9

ME

256 ×1.0

OE

466 ×2.7

EE

170 ×1.3

MM

174 ×2.0

EC

Citations per year, relative to Shaowen Mao Shaowen Mao (= 1×) peers Saeed Mahmoodpour

Countries citing papers authored by Shaowen Mao

Since Specialization

Citations

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

Fields of papers citing papers by Shaowen Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowen Mao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Neil, Chelsea W., et al.. (2026). Evaluating caprock sealing for hydrogen storage in depleted hydrocarbon reservoirs: Insights into energy storage optimization. Journal of Energy Storage. 152. 120744–120744.

2.

Mao, Shaowen, Mohamed Mehana, Qinjun Kang, et al.. (2025). Effects of aquifer salinity on underground hydrogen storage. Energy Conversion and Management. 347. 120450–120450. 2 indexed citations

3.

Mao, Shaowen, et al.. (2025). Techno-economic analysis and site screening for underground hydrogen storage in Intermountain-West region, United States. International Journal of Hydrogen Energy. 109. 275–286. 11 indexed citations

4.

Mao, Shaowen, Siqin Yu, Jianping Xu, et al.. (2025). Geologic hydrogen: a review of resource potential, subsurface dynamics, exploration, production, transportation, and research opportunities. Energy & Environmental Science. 18(23). 9991–10035. 2 indexed citations

5.

Yang, Yun, Chelsea W. Neil, Eric Guiltinan, et al.. (2025). Experimental Characterization of Hydrogen Diffusion in Shale Rocks for Geologic Storage Applications. ACS Earth and Space Chemistry. 9(7). 1858–1870. 2 indexed citations

6.

Malki, Mohamed Lamine, et al.. (2025). A quantitative risk assessment framework for fault reactivation in underground hydrogen storage: Coupled simulation and deep learning approach. Journal of Rock Mechanics and Geotechnical Engineering.

7.

Mao, Shaowen, et al.. (2025). Deep Learning for Subsurface Flow: A Comparative Study of U‐Net, Fourier Neural Operators, and Transformers in Underground Hydrogen Storage. SHILAP Revista de lepidopterología. 2(1). 3 indexed citations

8.

Malki, Mohamed Lamine, et al.. (2025). Machine learning-based optimization of well spacing for hydrogen storage in saline aquifers. Fuel. 406. 136896–136896.

9.

Mao, Shaowen, et al.. (2025). Deep learning-based surrogate modeling for underground hydrogen storage. Advances in Water Resources. 203. 105014–105014. 2 indexed citations

10.

Malki, Mohamed Lamine, et al.. (2025). Optimizing underground hydrogen storage performance through multi-well strategies in depleted gas reservoirs. International Journal of Hydrogen Energy. 106. 672–685. 7 indexed citations

11.

Mao, Shaowen, et al.. (2024). Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning. Applied Energy. 361. 122914–122914. 55 indexed citations breakdown →

12.

Malki, Mohamed Lamine, et al.. (2024). A critical review of underground hydrogen storage: From fundamentals to applications, unveiling future frontiers in energy storage. International Journal of Hydrogen Energy. 79. 1365–1394. 46 indexed citations

13.

Malki, Mohamed Lamine, Bailian Chen, Shaowen Mao, Fangxuan Chen, & Mohamed Mehana. (2024). OPERATE–H2: A tool for optimizing underground hydrogen storage. Journal of Energy Storage. 90. 111715–111715. 25 indexed citations

14.

Mao, Shaowen, et al.. (2024). Analytical study of bioclogging effects in underground hydrogen storage. International Journal of Hydrogen Energy. 94. 862–870. 10 indexed citations

15.

Chen, Fangxuan, Bailian Chen, Shaowen Mao, Mohamed Lamine Malki, & Mohamed Mehana. (2024). Integrating Capacity and Efficiency for Optimal Hydrogen Storage Site Selection in Saline Aquifers. Energy & Fuels. 38(5). 4733–4742. 14 indexed citations

16.

Mao, Shaowen, Kan Wu, & George J. Moridis. (2023). An Efficient Eulerian-Lagrangian Proppant Transport Model Coupled with Three-dimensional Hydraulic Fracture Propagation. 1 indexed citations

17.

Mao, Shaowen, Kan Wu, & George J. Moridis. (2023). Integrated simulation of three-dimensional hydraulic fracture propagation and Lagrangian proppant transport in multilayered reservoirs. Computer Methods in Applied Mechanics and Engineering. 410. 116037–116037. 30 indexed citations

18.

Mao, Shaowen, Junsheng Zeng, Kan Wu, & Dongxiao Zhang. (2022). Lagrangian Numerical Simulation of Proppant Transport in Channel Fracturing. SPE Journal. 28(3). 1369–1386. 7 indexed citations

19.

Mao, Shaowen, et al.. (2020). Numerical Study of Proppant Transport in Field-Scale Fractures for Slickwater Fracturing. 7 indexed citations

20.

Deng, Jingen, et al.. (2017). Numerical Modeling of Hydraulic Fracture Containment of Tight Sandstone Gas Reservoir. 51st U.S. Rock Mechanics/Geomechanics Symposium. 1 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.

Explore authors with similar magnitude of impact