Shenglai Yang

1.4k total citations
69 papers, 1.0k citations indexed

About

Shenglai Yang is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Shenglai Yang has authored 69 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Ocean Engineering, 43 papers in Mechanical Engineering and 39 papers in Mechanics of Materials. Recurrent topics in Shenglai Yang's work include Enhanced Oil Recovery Techniques (51 papers), Hydraulic Fracturing and Reservoir Analysis (41 papers) and Hydrocarbon exploration and reservoir analysis (35 papers). Shenglai Yang is often cited by papers focused on Enhanced Oil Recovery Techniques (51 papers), Hydraulic Fracturing and Reservoir Analysis (41 papers) and Hydrocarbon exploration and reservoir analysis (35 papers). Shenglai Yang collaborates with scholars based in China, United States and United Kingdom. Shenglai Yang's co-authors include Kun Qian, Lu Wang, Zhilin Wang, Hao Lei, Zhan Meng, Xinyuan Gao, Paul Glover, Piroska Lorinczi, Hao Lei and Ying Li and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Heat and Mass Transfer and Energy.

In The Last Decade

Shenglai Yang

67 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenglai Yang China 20 850 643 544 323 142 69 1.0k
Yongmao Hao China 17 694 0.8× 604 0.9× 413 0.8× 352 1.1× 95 0.7× 49 955
Mahmood Reza Yassin Canada 15 567 0.7× 547 0.9× 418 0.8× 122 0.4× 131 0.9× 29 759
Hanqiao Jiang China 19 998 1.2× 627 1.0× 838 1.5× 195 0.6× 120 0.8× 88 1.3k
J. M. Schembre United States 13 774 0.9× 527 0.8× 580 1.1× 163 0.5× 82 0.6× 16 933
Rouzbeh Ghanbarnezhad Moghanloo United States 22 1.2k 1.5× 741 1.2× 1.1k 2.0× 310 1.0× 189 1.3× 97 1.5k
James A. Sorensen United States 19 938 1.1× 846 1.3× 742 1.4× 506 1.6× 102 0.7× 67 1.3k
Morteza Akbarabadi United States 12 551 0.6× 338 0.5× 361 0.7× 377 1.2× 49 0.3× 19 769
Pengcheng Liu China 20 875 1.0× 553 0.9× 403 0.7× 99 0.3× 318 2.2× 61 1000
Hisham Ben Mahmud Malaysia 16 515 0.6× 386 0.6× 417 0.8× 356 1.1× 57 0.4× 42 851
Renyi Cao China 20 771 0.9× 455 0.7× 749 1.4× 242 0.7× 58 0.4× 81 1.0k

Countries citing papers authored by Shenglai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shenglai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglai Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shenglai Yang. A scholar is included among the top collaborators of Shenglai Yang 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 Shenglai Yang. Shenglai Yang 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
1.
Yang, Shenglai, et al.. (2025). Numerical simulation of CO2 storage with enhanced gas recovery in depleted highly heterogeneous carbonate gas reservoir. Physics of Fluids. 37(7). 1 indexed citations
2.
Zhao, Shuai, Shenglai Yang, Yuning Han, et al.. (2025). Enhancing oil recovery in tight fractured reservoirs: An NMR study of foam flooding with imbibition effects. Colloids and Surfaces A Physicochemical and Engineering Aspects. 726. 137745–137745.
3.
4.
Yang, Shenglai, et al.. (2024). Interpretable causal-based temporal graph convolutional network framework in complex spatio-temporal systems for CCUS-EOR. Energy. 309. 133129–133129. 11 indexed citations
5.
Hu, Jiangtao, Shenglai Yang, Hui Deng, et al.. (2024). Effect of pore structure characteristics on gas-water seepage behaviour in deep carbonate gas reservoirs. Geoenergy Science and Engineering. 238. 212881–212881. 13 indexed citations
6.
Gao, Xinyuan, et al.. (2024). System and multi-physics coupling model of liquid-CO2 injection on CO2 storage with enhanced gas recovery (CSEGR) framework. Energy. 294. 130951–130951. 33 indexed citations
7.
Zhang, Yiqi, Shenglai Yang, Xinyuan Gao, et al.. (2024). A technical review of CO2 flooding sweep-characteristics research advance and sweep-extend technology. Petroleum Science. 22(1). 255–276. 26 indexed citations
8.
Yang, Shenglai, et al.. (2024). Micromechanism and mathematical model of stress sensitivity in tight reservoirs of binary granular medium. Petroleum Science. 21(3). 1780–1795. 2 indexed citations
9.
Gao, Xinyuan, et al.. (2023). Effects of CO2 variable thermophysical properties and phase behavior on CO2 geological storage: A numerical case study. International Journal of Heat and Mass Transfer. 221. 125073–125073. 17 indexed citations
10.
Ren, Shuangshuang, et al.. (2021). Analysis and Calculation of Threshold Pressure Gradient Based on Capillary Bundle. Mathematical Problems in Engineering. 2021. 1–10. 4 indexed citations
11.
Shen, Jian, et al.. (2021). Oil production performance and reservoir damage distribution of miscible CO2 soaking-alternating-gas (CO2-SAG) flooding in low permeability heterogeneous sandstone reservoirs. Journal of Petroleum Science and Engineering. 204. 108741–108741. 19 indexed citations
12.
Yang, Shenglai, Bowen Gan, Wei Zhou, et al.. (2021). Pore Structure and Movable Fluid Characteristics of Typical Sedimentary Lithofacies in a Tight Conglomerate Reservoir, Mahu Depression, Northwest China. ACS Omega. 6(36). 23243–23261. 10 indexed citations
13.
Yang, Shenglai, et al.. (2020). Adaptability Evaluation of Nitrogen Foam Flooding After Water-Flooding in Low-Permeability Light Oil Reservoirs. Xinjiang shiyou dizhi. 41(6). 729. 3 indexed citations
14.
Yang, Shenglai, et al.. (2019). Experimental investigation on the influence factors and oil production distribution in different pore sizes during CO2 huff-n-puff in an ultra-high-pressure tight oil reservoir. Journal of Petroleum Science and Engineering. 178. 1155–1163. 50 indexed citations
15.
Meng, Zhan, et al.. (2018). Enhancement of the imbibition recovery by surfactants in tight oil reservoirs. Petroleum Science. 15(4). 783–793. 36 indexed citations
16.
Lu, Yunhu, et al.. (2016). Experiments and Finite Element Simulation on Cement Sheath Failure in HPHT Well Fracturing. 50th U.S. Rock Mechanics/Geomechanics Symposium. 7 indexed citations
17.
18.
Chen, Hao, Shenglai Yang, Zheng Xue, et al.. (2015). Experimental study on seismic response during CO 2 sequestration with different phase state. Journal of the Energy Institute. 89(1). 30–39. 5 indexed citations
19.
Hu, Wei, Shenglai Yang, Zhilin Wang, et al.. (2014). Optimization analysis of factors affecting hydrocarbon gas drive based on orthogonal experimental design. Geosystem Engineering. 17(6). 303–310. 2 indexed citations
20.
Yang, Shenglai, et al.. (2008). Evaluation and prevention of formation damage in offshore sandstone reservoirs in China. Petroleum Science. 5(4). 340–347. 13 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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