Shuyi Du

426 total citations
21 papers, 294 citations indexed

About

Shuyi Du is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Shuyi Du has authored 21 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ocean Engineering, 8 papers in Mechanical Engineering and 6 papers in Mechanics of Materials. Recurrent topics in Shuyi Du's work include Reservoir Engineering and Simulation Methods (9 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Enhanced Oil Recovery Techniques (7 papers). Shuyi Du is often cited by papers focused on Reservoir Engineering and Simulation Methods (9 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Enhanced Oil Recovery Techniques (7 papers). Shuyi Du collaborates with scholars based in China, Japan and United States. Shuyi Du's co-authors include Hongqing Song, Jiulong Wang, Jiaosheng Yang, Yang Zhao, Chenji Wei, Chiyu Xie, Yuhe Wang, Yuanchun Zhou, Cong Zhang and Qitao Zhang and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, IEEE Access and Energy.

In The Last Decade

Shuyi Du

18 papers receiving 286 citations

Peers

Shuyi Du
Zhengwu Tao China
Guanglong Sheng China
Shengming Wen China
Siddharth Misra United States
Yuping Sun China
Pingchuan Dong China
Guilherme Daniel Avansi Brazil
Elizabeth Díaz United States
Zhengwu Tao China
Shuyi Du
Citations per year, relative to Shuyi Du Shuyi Du (= 1×) peers Zhengwu Tao

Countries citing papers authored by Shuyi Du

Since Specialization
Citations

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

Fields of papers citing papers by Shuyi Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyi Du

This figure shows the co-authorship network connecting the top 25 collaborators of Shuyi Du. A scholar is included among the top collaborators of Shuyi Du 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 Shuyi Du. Shuyi Du 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.
Du, Shuyi, et al.. (2025). Spatiotemporal evolution of agricultural greenhouses based on remote sensing data: A case study of Weinan City in China. Journal of Agriculture and Food Research. 24. 102326–102326.
2.
Wang, Jiulong, Xiaotian Luo, Xuhui Zhang, & Shuyi Du. (2025). Artificial General Intelligence (AGI) Applications and Prospect in Oil and Gas Reservoir Development. Processes. 13(5). 1413–1413.
3.
Suzuki, Yoshihisa, et al.. (2025). Ensemble learning algorithms based on easyensemble sampling for financial distress prediction. Annals of Operations Research. 346(3). 2141–2172. 2 indexed citations
4.
Wang, Jiulong, et al.. (2025). In-depth review of colloidal and interfacial fundamentals in fracturing development of deep coal seam methane. Advances in Colloid and Interface Science. 344. 103611–103611. 1 indexed citations
5.
6.
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
7.
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
8.
Xie, Chiyu, Shuyi Du, Jiulong Wang, Junming Lao, & Hongqing Song. (2023). Intelligent modeling with physics-informed machine learning for petroleum engineering problems. ADVANCES IN GEO-ENERGY RESEARCH. 8(2). 71–75. 15 indexed citations
9.
Suzuki, Yoshihisa, et al.. (2023). Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China. Computational Economics. 63(5). 2035–2068. 8 indexed citations
10.
Du, Shuyi, Jiaosheng Yang, Yang Zhao, et al.. (2023). A novel prediction method for coalbed methane production capacity combined extreme gradient boosting with bayesian optimization. Computational Geosciences. 28(5). 781–790. 7 indexed citations
11.
Du, Shuyi, et al.. (2023). Data-driven production optimization using particle swarm algorithm based on the ensemble-learning proxy model. Petroleum Science. 20(5). 2951–2966. 26 indexed citations
12.
Song, Hongqing, et al.. (2023). Constraining the thermal inertia of Mars utilizing machine learning techniques. Monthly Notices of the Royal Astronomical Society. 522(2). 1697–1705. 1 indexed citations
13.
Song, Hongqing, et al.. (2022). Data-driven physics-informed interpolation evolution combining historical-predicted knowledge for remaining oil distribution prediction. Journal of Petroleum Science and Engineering. 217. 110795–110795. 13 indexed citations
14.
15.
Yue, Ming, Qiang Chen, Yuhe Wang, et al.. (2022). Prediction of effective stimulated reservoir volume after hydraulic fracturing utilizing deep learning. Petroleum Science and Technology. 41(20). 1934–1956. 13 indexed citations
16.
Ji, Ru, et al.. (2021). Prediction of Fluid Viscosity in Multiphase Reservoir Oil System by Machine Learning. Geofluids. 2021. 1–9. 6 indexed citations
17.
Song, Hongqing, et al.. (2021). Intelligent Microfluidics Research on Relative Permeability Measurement and Prediction of Two-Phase Flow in Micropores. Geofluids. 2021. 1–12. 8 indexed citations
18.
Du, Shuyi, Chenji Wei, Yuhe Wang, et al.. (2020). The Connectivity Evaluation Among Wells in Reservoir Utilizing Machine Learning Methods. IEEE Access. 8. 47209–47219. 24 indexed citations
19.
Song, Hongqing, Shuyi Du, Jiulong Wang, et al.. (2020). Potential for Vertical Heterogeneity Prediction in Reservoir Basing on Machine Learning Methods. Geofluids. 2020. 1–12. 11 indexed citations
20.
Zhang, Qitao, Chenji Wei, Yuhe Wang, et al.. (2019). Potential for Prediction of Water Saturation Distribution in Reservoirs Utilizing Machine Learning Methods. Energies. 12(19). 3597–3597. 38 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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