Guan Qin
- Mechanical Engineering top 2%
- Ocean Engineering top 0.5%
- Computational Mechanics top 2%
- Mechanics of Materials top 2%
- Environmental Engineering top 2%
- Co-authors
- Richard E. EwingStephen L. LyonsPeter PopovYalchin EfendievYang NingZhangxin ChenHong WangYu‐Shu Wu
- Topics
- Hydraulic Fracturing and Reservoir Analysis (45 papers)Hydrocarbon exploration and reservoir analysis (27 papers)Advanced Mathematical Modeling in Engineering (21 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Guan Qin
107 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Mechanical Engineering 727
- Ocean Engineering 724
- Computational Mechanics 551
- Mechanics of Materials 508
- Environmental Engineering 426
Countries citing papers authored by Guan Qin
This map shows the geographic impact of Guan Qin'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 Guan Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guan Qin more than expected).
Fields of papers citing papers by Guan Qin
This network shows the impact of papers produced by Guan Qin. 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 Guan Qin. The network helps show where Guan Qin may publish in the future.
Co-authorship network of co-authors of Guan Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Guan Qin. A scholar is included among the top collaborators of Guan Qin 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 Guan Qin. Guan Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 77 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | Data-driven Monte Carlo Simulations in Estimating the Stimulated Reservoir Volume (SRV) by Hydraulic Fracturing Treatments (SPE 154537) | 2 |
| 9 | Modeling of reservoir fractures based on discrete fracture network | 2 |
| 10 | 18 | |
| 11 | Grid-enabled ensemble subsurface modeling | 3 |
| 12 | High-Precision BLAS on FPGA-enhanced Computers | 3 |
| 13 | 31 | |
| 14 | 13 | |
| 15 | Group-Alignment based Accurate Floating-Point Summation on FPGAs. | 15 |
| 16 | 17 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | THE MECHANICAL BEHAVIOR OF A POROELASTIC MEDIUM SATURATED WITH A NEWTONIAN FLUID | 4 |
| 20 | Coupled Geomechanics-Fluid Flow Modeling in Petroleum Reservoirs: Coupled Versus Uncoupled Response | 12 |
About Guan Qin
Guan Qin is a scholar working on Ocean Engineering, Computational Mechanics and Computational Theory and Mathematics, having authored 111 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (45 papers), Hydrocarbon exploration and reservoir analysis (27 papers) and Advanced Mathematical Modeling in Engineering (21 papers). The work is most often cited by research in Ocean Engineering (724 citations), Environmental Engineering (426 citations) and Computational Mechanics (551 citations). Guan Qin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Richard E. Ewing, Stephen L. Lyons, Peter Popov, Yalchin Efendiev, Yang Ning, Zhangxin Chen, Hong Wang, Yu‐Shu Wu, Honglin Liu and Dong Liang. Their work appears in journals such as Journal of Computational Physics, Fuel and Medicine.
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.