Guanglong Sheng

442 total citations
23 papers, 346 citations indexed

About

Guanglong Sheng is a scholar working on Mechanical Engineering, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, Guanglong Sheng has authored 23 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Mechanical Engineering, 19 papers in Ocean Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Guanglong Sheng's work include Hydraulic Fracturing and Reservoir Analysis (20 papers), Drilling and Well Engineering (12 papers) and Reservoir Engineering and Simulation Methods (8 papers). Guanglong Sheng is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (20 papers), Drilling and Well Engineering (12 papers) and Reservoir Engineering and Simulation Methods (8 papers). Guanglong Sheng collaborates with scholars based in China, United States and Canada. Guanglong Sheng's co-authors include Wendong Wang, Yuliang Su, Yuliang Su, Farzam Javadpour, Meirong Tang, Hui Zhao, Mingjing Lu, Yuhui Zhou, Jie Gong and Yunfeng Xu and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Fuel and Physics of Fluids.

In The Last Decade

Guanglong Sheng

21 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanglong Sheng China 9 264 255 184 48 34 23 346
Shijun Huang China 14 405 1.5× 439 1.7× 180 1.0× 61 1.3× 86 2.5× 35 486
Zhi Chai United States 15 401 1.5× 391 1.5× 202 1.1× 100 2.1× 77 2.3× 24 590
Yongquan Hu China 15 355 1.3× 398 1.6× 309 1.7× 95 2.0× 39 1.1× 53 563
Peiqing Lian China 12 265 1.0× 236 0.9× 191 1.0× 40 0.8× 68 2.0× 27 367
Jafar Qajar Iran 13 258 1.0× 145 0.6× 203 1.1× 24 0.5× 66 1.9× 39 383
Tiantai Li China 10 302 1.1× 223 0.9× 316 1.7× 37 0.8× 84 2.5× 41 418
Yuping Sun China 13 328 1.2× 319 1.3× 283 1.5× 40 0.8× 15 0.4× 38 474
Olufemi Olorode United States 11 304 1.2× 336 1.3× 177 1.0× 71 1.5× 105 3.1× 29 442
Davud Davudov United States 12 340 1.3× 217 0.9× 331 1.8× 20 0.4× 32 0.9× 38 437
Amie Hows United States 9 221 0.8× 182 0.7× 190 1.0× 104 2.2× 36 1.1× 17 363

Countries citing papers authored by Guanglong Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Guanglong Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglong Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglong Sheng. A scholar is included among the top collaborators of Guanglong Sheng 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 Guanglong Sheng. Guanglong Sheng 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.
Zhao, Hui, et al.. (2025). A novel fluid-solid coupling method for fractured reservoirs: 3D DDM-EDFM integration with proppant mechanics. Computers and Geotechnics. 181. 107127–107127. 2 indexed citations
2.
Sheng, Guanglong, et al.. (2025). Numerical simulation method of multi-fracture fracturing coupling proppant transport. Physics of Fluids. 37(2). 1 indexed citations
3.
Rui, Zhenhua, Haiyang Deng, Guanglong Sheng, et al.. (2024). Coupling mechanism analysis of CO2 non-Darcy flow in multi-scale reservoirs: A case study of the life-cycle process of fracturing-development in shale oil reservoirs. Petroleum Science. 22(3). 1171–1199. 2 indexed citations
4.
Zhao, Hui, et al.. (2024). Numerical simulation of low-viscosity fluid proppant transport based on the high-order WENO method. Geoenergy Science and Engineering. 241. 213156–213156. 4 indexed citations
5.
Zhao, Hui, Guanglong Sheng, Botao Liu, et al.. (2024). A new approach for fracture parameters optimization of multi-fractured horizontal wells: Virtual boundary method. Geoenergy Science and Engineering. 243. 213184–213184.
6.
Sheng, Guanglong, et al.. (2024). New permeability model considering multiscale migration mechanism of deep coalbed methane and its application. Physics of Fluids. 36(12). 1 indexed citations
7.
Wang, Chenchen, et al.. (2023). Multi-Scale and Multi-Region Pore Structure Analysis on Sandy Conglomerate Whole Core With Digital Rock Model. Journal of Energy Resources Technology. 145(8). 1 indexed citations
8.
Sheng, Guanglong, et al.. (2023). A new approach for flow simulation in complex hydraulic fracture morphology and its application: Fracture connection element method. Petroleum Science. 20(5). 3002–3012. 1 indexed citations
9.
Sheng, Guanglong, et al.. (2023). A Real-Time Inversion Approach for Fluid-Flow Fractures in Unconventional Stimulated Reservoirs. SPE Journal. 29(2). 1178–1194. 3 indexed citations
10.
Lu, Mingjing, et al.. (2022). Research Advance on Prediction and Optimization for Fracture Propagation in Stimulated Unconventional Reservoirs. Lithosphere. 2021(Special 1). 11 indexed citations
11.
Sheng, Guanglong, et al.. (2022). A new calculation approach of heterogeneous fractal dimensions in complex hydraulic fractures and its application. Journal of Petroleum Science and Engineering. 219. 111106–111106. 15 indexed citations
12.
Cao, Lin, et al.. (2021). Meshless Method-Based Numerical Simulation of Microbial Flooding. Xinjiang shiyou dizhi. 42(2). 206. 1 indexed citations
13.
Li, Jingsong, Zijun Huang, Fei Wang, et al.. (2021). History Matching and Production Prediction of Steam Drive Reservoir Based on Data-Space Inversion Method. Geofluids. 2021. 1–11. 2 indexed citations
14.
15.
Sheng, Guanglong, et al.. (2021). A Review of Flow Mechanism and Inversion Methods of Fracture Network in Shale Gas Reservoirs. Geofluids. 2021. 1–10. 9 indexed citations
16.
Zhao, Hui, et al.. (2021). Application of Lightning Breakdown Simulation in Inversion of Induced Fracture Network Morphology in Stimulated Reservoirs. International Petroleum Technology Conference. 8 indexed citations
17.
Sheng, Guanglong, Yuliang Su, & Wendong Wang. (2019). A new fractal approach for describing induced-fracture porosity/permeability/ compressibility in stimulated unconventional reservoirs. Journal of Petroleum Science and Engineering. 179. 855–866. 142 indexed citations
18.
Sheng, Guanglong, Farzam Javadpour, & Yuliang Su. (2017). Effect of microscale compressibility on apparent porosity and permeability in shale gas reservoirs. International Journal of Heat and Mass Transfer. 120. 56–65. 48 indexed citations
19.
Sheng, Guanglong, Yuliang Su, Wendong Wang, Farzam Javadpour, & Meirong Tang. (2017). APPLICATION OF FRACTAL GEOMETRY IN EVALUATION OF EFFECTIVE STIMULATED RESERVOIR VOLUME IN SHALE GAS RESERVOIRS. Fractals. 25(4). 1740007–1740007. 50 indexed citations
20.
Hao, Yongmao, et al.. (2016). Experimental Investigation on Oil Enhancement Mechanism of Hot Water Injection in tight reservoirs. Open Physics. 14(1). 703–713. 7 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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