Gaoming Yu

520 total citations
53 papers, 362 citations indexed

About

Gaoming Yu is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Gaoming Yu has authored 53 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ocean Engineering, 29 papers in Mechanical Engineering and 20 papers in Mechanics of Materials. Recurrent topics in Gaoming Yu's work include Hydraulic Fracturing and Reservoir Analysis (29 papers), Enhanced Oil Recovery Techniques (28 papers) and Reservoir Engineering and Simulation Methods (24 papers). Gaoming Yu is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (29 papers), Enhanced Oil Recovery Techniques (28 papers) and Reservoir Engineering and Simulation Methods (24 papers). Gaoming Yu collaborates with scholars based in China, Canada and United Kingdom. Gaoming Yu's co-authors include Yuehui She, Keliu Wu, Zhangxin Chen, Yongan Gu, Xiaohu Dong, Zhouyuan Zhu, Fan Zhang, Dujie Hou, İbrahim M. Banat and Zhongzhi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and RSC Advances.

In The Last Decade

Gaoming Yu

48 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaoming Yu China 11 264 132 125 93 50 53 362
Babak Moradi Iran 11 281 1.1× 128 1.0× 181 1.4× 109 1.2× 16 0.3× 41 383
Yikun Liu China 12 184 0.7× 140 1.1× 173 1.4× 40 0.4× 21 0.4× 27 349
Bartek Florczyk Vik Norway 10 310 1.2× 196 1.5× 197 1.6× 39 0.4× 13 0.3× 17 420
Dagobert Kessel United States 9 234 0.9× 57 0.4× 139 1.1× 148 1.6× 100 2.0× 13 432
B. Özüm Canada 10 198 0.8× 103 0.8× 137 1.1× 182 2.0× 17 0.3× 34 418
Hideharu Yonebayashi Japan 10 324 1.2× 84 0.6× 252 2.0× 220 2.4× 48 1.0× 69 404
Yiqiang Li China 14 570 2.2× 268 2.0× 271 2.2× 248 2.7× 51 1.0× 20 643
R.S. Bryant United States 11 350 1.3× 130 1.0× 118 0.9× 35 0.4× 169 3.4× 27 407
Nanji J. Hadia Norway 15 466 1.8× 340 2.6× 290 2.3× 132 1.4× 23 0.5× 24 653
Eghbal Sahraei Iran 11 301 1.1× 134 1.0× 148 1.2× 131 1.4× 28 0.6× 34 397

Countries citing papers authored by Gaoming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Gaoming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoming Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Gaoming Yu. A scholar is included among the top collaborators of Gaoming Yu 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 Gaoming Yu. Gaoming Yu 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
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Yu, Gaoming, et al.. (2024). A Time Series Forecasting Approach Based on Meta-Learning for Petroleum Production under Few-Shot Samples. Energies. 17(8). 1947–1947. 6 indexed citations
4.
Yu, Gaoming, et al.. (2024). The Prediction of Pervious Concrete Compressive Strength Based on a Convolutional Neural Network. Buildings. 14(4). 907–907. 4 indexed citations
5.
Xie, Lei, et al.. (2023). Development Adjustment Scheme of a Low-Permeability Reservoir in the SN Oilfield. Energies. 16(15). 5770–5770. 2 indexed citations
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Liu, Qian, et al.. (2023). Optimization of Gel Flooding during the High Water Cut Stage in a Conglomerate Reservoir of the Xinjiang A Oilfield. Polymers. 15(7). 1809–1809. 4 indexed citations
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Hu, Rongrong, et al.. (2023). Flow Potential Analysis-Based Gas Channeling Control for Enhanced Artificial Gas Cap Drive in Fractured-Vuggy Reservoirs. Processes. 11(12). 3301–3301. 1 indexed citations
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Lü, Hao, et al.. (2023). Analysis of Factors Impacting CO2 Assisted Gravity Drainage in Oil Reservoirs with Bottom Water. Processes. 11(12). 3290–3290. 3 indexed citations
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Yu, Gaoming, et al.. (2023). Comprehensive Study of Development Strategies for High-Pressure, Low-Permeability Reservoirs. Processes. 11(12). 3303–3303.
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Liu, Yuetian, et al.. (2022). Study on the Effect of Threshold Pressure Gradient on Remaining Oil Distribution in Heavy Oil Reservoirs. ACS Omega. 7(5). 3949–3962. 7 indexed citations
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Zhang, Fan, Gaoming Yu, Beiwen Zheng, et al.. (2015). High quality genome sequence and description of Enterobacter mori strain 5–4, isolated from a mixture of formation water and crude-oil. Standards in Genomic Sciences. 10(1). 9–9. 4 indexed citations
17.
She, Yuehui, Xiawei Jiang, Gaoming Yu, et al.. (2014). Genome sequence of Brevibacillus agri strain 5-2, isolated from the formation water of petroleum reservoir. Marine Genomics. 18. 123–125. 10 indexed citations
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Yu, Gaoming. (2012). The Marine Streamer Wide-line Theory and Its Test Effect Analysis on Mesozoic in South China Sea. Journal of Oil and Gas Technology. 1 indexed citations
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Yu, Gaoming & Min Li. (2008). Numerical Simulation of Enhanced Recovery by Nitrogen Injection at the High Water-cut Stage. Journal of Oil and Gas Technology. 1 indexed citations
20.
Zhang, Fan, et al.. (1997). A study on design method of optimal horizontal wellbore length.. 18(1). 55–62. 4 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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