Ming Yue

586 total citations · 1 hit paper
48 papers, 413 citations indexed

About

Ming Yue is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Ming Yue has authored 48 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ocean Engineering, 34 papers in Mechanical Engineering and 18 papers in Mechanics of Materials. Recurrent topics in Ming Yue's work include Hydraulic Fracturing and Reservoir Analysis (34 papers), Hydrocarbon exploration and reservoir analysis (17 papers) and Drilling and Well Engineering (16 papers). Ming Yue is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (34 papers), Hydrocarbon exploration and reservoir analysis (17 papers) and Drilling and Well Engineering (16 papers). Ming Yue collaborates with scholars based in China, Canada and United Kingdom. Ming Yue's co-authors include Weiyao Zhu, Hongqing Song, Yu Lou, Bin Pan, Qi Qian, Jiulong Wang, Zhiyong Song, Stefan Iglauer, Katriona Edlmann and Chelsea W. Neil and has published in prestigious journals such as International Journal of Hydrogen Energy, Energy and Fuel.

In The Last Decade

Ming Yue

42 papers receiving 399 citations

Hit Papers

Machine learning - based shale wettability prediction: Im... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Machine learning - based shale wettability prediction: Implications for H2, CH4 and CO2 geo-storage
    2024 51 citations Bin Pan, Ming Yue et al. International Journal of Hydrogen Energy profile →

Peers

Ming Yue
Márcio Augusto Sampaio Brazil
Hong'en Dou China
Yu Peng China
Manojkumar Gudala Saudi Arabia
Hao Xiong United States
Themis Carageorgos Australia
Zhengwu Tao China
Jinghong Hu China
Yin Zhang United States
Sulaiman A. Alarifi Saudi Arabia
Márcio Augusto Sampaio Brazil
Ming Yue
Citations per year, relative to Ming Yue Ming Yue (= 1×) peers Márcio Augusto Sampaio

Countries citing papers authored by Ming Yue

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yue. A scholar is included among the top collaborators of Ming Yue 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 Ming Yue. Ming Yue 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.
Zhu, Weiyao, Qiang Chen, Fuyong Wang, et al.. (2025). A novel approach for production allocation in multi-layer oil reservoirs based on machine learning combining game theory. Geoenergy Science and Engineering. 247. 213706–213706. 2 indexed citations
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Emami‐Meybodi, Hamid, Yiran Jiang, Shengnan Chen, et al.. (2025). An explicit machine learning model for brine-gas interfacial tension prediction: Implications for H2, CH4, and CO2 geo-storage. Fuel. 405. 136502–136502.
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Pan, Bin, Ming Yue, Shengnan Chen, et al.. (2024). Machine learning - based shale wettability prediction: Implications for H2, CH4 and CO2 geo-storage. International Journal of Hydrogen Energy. 56. 1384–1390. 51 indexed citations breakdown →
7.
Yue, Ming, et al.. (2024). Prediction of ORF for Optimized CO2 Flooding in Fractured Tight Oil Reservoirs via Machine Learning. Energies. 17(6). 1303–1303. 2 indexed citations
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Du, Shuyi, Jingyan Zhang, Ming Yue, et al.. (2023). A novel sequential-based hybrid approach incorporating physical modeling and deep learning for multiphase subsurface flow simulation. Gas Science and Engineering. 118. 205093–205093. 3 indexed citations
10.
Du, Shuyi, Jiaosheng Yang, Yang Zhao, et al.. (2023). An enhanced prediction framework for coalbed methane production incorporating deep learning and transfer learning. Energy. 282. 128877–128877. 26 indexed citations
11.
Zhu, Weiyao, et al.. (2023). A novel well-logging data generation model integrated with random forests and adaptive domain clustering algorithms. Geoenergy Science and Engineering. 231. 212381–212381. 13 indexed citations
12.
Zhu, Weiyao, et al.. (2023). Transport in Nanoporous Media. Engineering. 32. 138–151. 9 indexed citations
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14.
Huang, Xiaohe, et al.. (2021). Experimental Research of the Influence of Microfracture Morphology on Permeability of Shale Rock. Geofluids. 2021. 1–7. 2 indexed citations
15.
Zhu, Weiyao, et al.. (2021). Experimental study and production model of multiscale stress sensitivity in tight oil reservoirs. Energy Sources Part A Recovery Utilization and Environmental Effects. 47(1). 6465–6476. 2 indexed citations
16.
Yue, Ming, et al.. (2020). Analysis of the Influence of Different Fracture Network Structures on the Production of Shale Gas Reservoirs. Geofluids. 2020. 1–11. 3 indexed citations
17.
Yue, Ming, et al.. (2020). Effect of uneven distribution of proppant in fracture network on exploitation dynamic characteristics. 42(10). 1318–1324. 1 indexed citations
18.
Zhu, Weiyao, et al.. (2018). A NEW CALCULATING METHOD FOR RELATIVE PERMEABILITY OF BRANCHED PREFORMED PARTICLE GEL FLOODING IN MULTIPHASE COMPOSITE SYSTEM. Special Topics & Reviews in Porous Media An International Journal. 10(1). 89–98. 1 indexed citations
19.
Yue, Ming, et al.. (2016). Study on distribution of reservoir endogenous microbe and oil displacement mechanism. Saudi Journal of Biological Sciences. 24(2). 263–267. 6 indexed citations
20.
Yue, Ming. (2009). Stabilized Platform Control in the Spherical Robot Based on Coordinate Transformation. Journal of Mechanical Engineering. 45(5). 271–271. 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.

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