Dongyan Fan

1.7k total citations · 1 hit paper
39 papers, 1.4k citations indexed

About

Dongyan Fan is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Dongyan Fan has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ocean Engineering, 25 papers in Mechanical Engineering and 21 papers in Mechanics of Materials. Recurrent topics in Dongyan Fan's work include Hydraulic Fracturing and Reservoir Analysis (24 papers), Hydrocarbon exploration and reservoir analysis (18 papers) and Drilling and Well Engineering (10 papers). Dongyan Fan is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (24 papers), Hydrocarbon exploration and reservoir analysis (18 papers) and Drilling and Well Engineering (10 papers). Dongyan Fan collaborates with scholars based in China, United States and Switzerland. Dongyan Fan's co-authors include Jun Yao, Hai Sun, Zhixue Sun, Xia Yan, Zhaoqin Huang, Chenchen Wang, Kai Zhang, Lei Zhang, Yang Li and Yingchang Cao and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and International Journal of Heat and Mass Transfer.

In The Last Decade

Dongyan Fan

38 papers receiving 1.4k citations

Hit Papers

Well production forecasting based on ARIMA-LSTM model con... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongyan Fan China 18 797 785 699 280 117 39 1.4k
Zhifeng Luo China 24 858 1.1× 957 1.2× 556 0.8× 249 0.9× 120 1.0× 103 1.6k
Xia Yan China 21 833 1.0× 865 1.1× 603 0.9× 370 1.3× 127 1.1× 90 1.7k
Bicheng Yan Saudi Arabia 27 1.3k 1.6× 1.2k 1.6× 909 1.3× 541 1.9× 247 2.1× 172 2.3k
Daolun Li China 18 590 0.7× 562 0.7× 451 0.6× 169 0.6× 108 0.9× 64 1.1k
Hui Zhao China 24 1.2k 1.5× 1.1k 1.4× 419 0.6× 136 0.5× 65 0.6× 115 1.7k
Bailian Chen United States 25 1.4k 1.7× 1.0k 1.3× 369 0.5× 896 3.2× 125 1.1× 77 2.0k
Yuliang Su China 22 853 1.1× 775 1.0× 736 1.1× 210 0.8× 89 0.8× 62 1.3k
Zhixue Sun China 21 664 0.8× 918 1.2× 866 1.2× 660 2.4× 104 0.9× 47 2.0k
Guan Qin United States 21 724 0.9× 727 0.9× 508 0.7× 426 1.5× 152 1.3× 111 1.7k
Dong Chen China 23 1.6k 2.0× 802 1.0× 1.6k 2.3× 137 0.5× 184 1.6× 93 2.1k

Countries citing papers authored by Dongyan Fan

Since Specialization
Citations

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

Fields of papers citing papers by Dongyan Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyan Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyan Fan. A scholar is included among the top collaborators of Dongyan Fan 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 Dongyan Fan. Dongyan Fan 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.
Fan, Dongyan, Hai Sun, Yuqing Yang, et al.. (2025). Review of Machine Learning Methods for Steady State Capacity and Transient Production Forecasting in Oil and Gas Reservoir. Energies. 18(4). 842–842. 1 indexed citations
2.
Fan, Dongyan, et al.. (2025). A framework of parallel physics-informed neural network with Laplace transform for well testing interpretation. Physics of Fluids. 37(1). 2 indexed citations
3.
Zhang, Lei, Zefei Wei, Dongyan Fan, et al.. (2025). A mathematical model and digital rock simulation of spontaneous imbibition in shale fracture-matrix systems. Physics of Fluids. 37(8).
4.
Zhang, Lei, et al.. (2025). Pore-scale numerical study of the non-isothermal reactive flow by the lattice Boltzmann method. Physics of Fluids. 37(4). 2 indexed citations
5.
Fan, Dongyan, et al.. (2024). Experimental investigation of capillary pressure diagram in oil/water transition zone of low-permeability reservoirs. Physics of Fluids. 36(8). 2 indexed citations
6.
Sun, Hai, Dongyan Fan, Lei Zhang, et al.. (2024). Flow prediction of heterogeneous nanoporous media based on physical information neural network. Gas Science and Engineering. 125. 205307–205307. 10 indexed citations
7.
Zhang, Lei, Hai Sun, Dongyan Fan, et al.. (2023). Effect of roughness on droplet motion in a capillary channel: A numerical study. Physics of Fluids. 35(11). 7 indexed citations
8.
Zhang, Lei, Hai Sun, Dongyan Fan, et al.. (2023). Fractal theory and dynamic contact angle-based imbibition model for two-phase flow in porous media. Physics of Fluids. 35(12). 5 indexed citations
9.
Jia, Cunqi, et al.. (2023). Numerical Modeling and Studies of the Acid Stimulation Process in Dolomite Carbonate Rocks. SPE Journal. 28(5). 2165–2185. 10 indexed citations
10.
Li, Xiangling, et al.. (2021). A well rate prediction method based on LSTM algorithm considering manual operations. Journal of Petroleum Science and Engineering. 210. 110047–110047. 24 indexed citations
11.
12.
Sun, Hai, Dongyan Fan, Jun Yao, et al.. (2019). The Influence of Micro-Fractures on the Flow in Tight Oil Reservoirs Based on Pore-Network Models. Energies. 12(21). 4104–4104. 17 indexed citations
13.
Yao, Jun, et al.. (2019). Potential for heat production by retrofitting abandoned gas wells into geothermal wells. PLoS ONE. 14(8). e0220128–e0220128. 39 indexed citations
14.
Sun, Hai, et al.. (2019). Homogenization approach for liquid flow within shale system considering slip effect. Journal of Cleaner Production. 235. 146–157. 17 indexed citations
15.
Yan, Xia, Zhaoqin Huang, Jun Yao, et al.. (2019). Numerical simulation of hydro-mechanical coupling in fractured vuggy porous media using the equivalent continuum model and embedded discrete fracture model. Advances in Water Resources. 126. 137–154. 77 indexed citations
16.
17.
Yan, Xia, Zhaoqin Huang, Jun Yao, et al.. (2018). An efficient hydro-mechanical model for coupled multi-porosity and discrete fracture porous media. Computational Mechanics. 62(5). 943–962. 29 indexed citations
18.
Yan, Xia, Zhaoqin Huang, Jun Yao, Yang Li, & Dongyan Fan. (2016). An efficient embedded discrete fracture model based on mimetic finite difference method. Journal of Petroleum Science and Engineering. 145. 11–21. 108 indexed citations
19.
Fan, Dongyan, et al.. (2015). A composite model of hydraulic fractured horizontal well with stimulated reservoir volume in tight oil & gas reservoir. Journal of Natural Gas Science and Engineering. 24. 115–123. 66 indexed citations
20.
Fan, Dongyan, Jun Yao, Zhaoqin Huang, & Hai Sun. (2013). The Inflow Performance of a Multiple-fractured Horizontal Wells Based on a Discrete-fracture Model. Petroleum Science and Technology. 31(5). 492–499. 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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