Daigang Wang

896 total citations
52 papers, 712 citations indexed

About

Daigang Wang is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Daigang Wang has authored 52 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Ocean Engineering, 29 papers in Mechanical Engineering and 25 papers in Mechanics of Materials. Recurrent topics in Daigang Wang's work include Hydraulic Fracturing and Reservoir Analysis (28 papers), Hydrocarbon exploration and reservoir analysis (25 papers) and Enhanced Oil Recovery Techniques (24 papers). Daigang Wang is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (28 papers), Hydrocarbon exploration and reservoir analysis (25 papers) and Enhanced Oil Recovery Techniques (24 papers). Daigang Wang collaborates with scholars based in China, United States and Canada. Daigang Wang's co-authors include Changling Liu, Chengfeng Li, Lele Liu, Qingguo Meng, Nengyou Wu, Hailong Lu, Zhun Zhang, Yongle Hu, Jingjing Sun and Chenchen Wang and has published in prestigious journals such as Scientific Reports, Chemosphere and Energy.

In The Last Decade

Daigang Wang

46 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daigang Wang China 16 401 373 282 270 132 52 712
Yudou Wang China 15 337 0.8× 428 1.1× 215 0.8× 291 1.1× 153 1.2× 39 806
Xiongyu Chen United States 15 450 1.1× 349 0.9× 321 1.1× 208 0.8× 273 2.1× 26 685
Jeonghwan Lee South Korea 16 492 1.2× 524 1.4× 281 1.0× 401 1.5× 250 1.9× 82 1.0k
Jarand Gauteplass Norway 14 330 0.8× 319 0.9× 321 1.1× 219 0.8× 378 2.9× 17 696
Faisal Ur Rahman Awan Australia 17 532 1.3× 738 2.0× 161 0.6× 470 1.7× 303 2.3× 22 977
Regina Sander Australia 13 670 1.7× 612 1.6× 137 0.5× 253 0.9× 106 0.8× 31 852
Л. К. Алтунина Russia 13 332 0.8× 308 0.8× 264 0.9× 145 0.5× 157 1.2× 129 759
Xing Huang China 13 441 1.1× 353 0.9× 78 0.3× 240 0.9× 121 0.9× 35 582
Hesham Abdulelah Malaysia 15 390 1.0× 485 1.3× 157 0.6× 408 1.5× 347 2.6× 25 770
Yueliang Liu China 15 548 1.4× 424 1.1× 141 0.5× 236 0.9× 191 1.4× 35 797

Countries citing papers authored by Daigang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daigang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daigang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Daigang Wang. A scholar is included among the top collaborators of Daigang Wang 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 Daigang Wang. Daigang Wang 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.
Zhang, Yuxuan, et al.. (2025). Pore-scale modeling of thickened CO2 miscible flooding in three-dimensional heterogeneous porous media. Geoenergy Science and Engineering. 257. 214282–214282.
2.
Jia, Jihui, Feng Tian, Yunfeng Liang, et al.. (2025). Interfacial activity and phase behavior of dimethyl ether in decane/CO2–water systems: a molecular dynamics study. Chemical Engineering Science. 314. 121826–121826.
3.
Song, Kaoping, et al.. (2025). A Novel Method for Enhancing Oil Recovery by Thickened Supercritical CO2 Flooding in High-Water-Cut Mature Reservoirs. Engineering. 48. 59–69. 1 indexed citations
4.
Wang, Daigang, et al.. (2024). Digital rock modeling of deformed multi-scale media in deep hydrocarbon reservoirs based on in-situ stress-loading CT imaging and U-Net deep learning. Marine and Petroleum Geology. 171. 107177–107177. 8 indexed citations
5.
Jia, Ninghong, et al.. (2024). Pore‐Scale Modeling of Pressure‐Driven Flow and Spontaneous Imbibition in Fracturing‐Shut‐In‐Flowback Process of Tight Oil Reservoirs. International Journal of Energy Research. 2024(1). 3 indexed citations
7.
Liu, Fangzhou, et al.. (2024). Pore-scale modeling of wettability alteration coupled two-phase flow in carbonate porous media. Chemical Engineering Science. 302. 120854–120854. 2 indexed citations
8.
Song, Kaoping, et al.. (2024). A novel method to identify preferential flow paths by considering the time-varying effect of petrophysical parameters in ultra-high water-cut reservoirs. Geoenergy Science and Engineering. 241. 213172–213172. 5 indexed citations
9.
Wang, Daigang, Fangzhou Liu, Yong Li, et al.. (2023). Lattice-Boltzmann simulation of Two-phase flow in carbonate porous media retrieved from computed Microtomography. Chemical Engineering Science. 270. 118514–118514. 14 indexed citations
11.
Deng, Yajun, et al.. (2023). Mechanism for the effects of surface chemical composition and crystal face on the wettability of α-quartz surface. Applied Surface Science. 633. 157559–157559. 13 indexed citations
13.
Song, Yilei, et al.. (2022). Phase Behavior of CO2-CH4-Water Mixtures in Shale Nanopores Considering Fluid Adsorption and Capillary Pressure. Industrial & Engineering Chemistry Research. 61(16). 5652–5660. 11 indexed citations
14.
Zhang, Yongchao, Lele Liu, Daigang Wang, et al.. (2021). Application of Low-Field Nuclear Magnetic Resonance (LFNMR) in Characterizing the Dissociation of Gas Hydrate in a Porous Media. Energy & Fuels. 35(3). 2174–2182. 18 indexed citations
15.
Zhang, Zhun, Chengfeng Li, Fulong Ning, et al.. (2020). Pore Fractal Characteristics of Hydrate‐Bearing Sands and Implications to the Saturated Water Permeability. Journal of Geophysical Research Solid Earth. 125(3). 64 indexed citations
16.
Wang, Daigang, Wei Wei, Jingjing Sun, et al.. (2020). Dynamic evolution of pore structures of hydrate-bearing sediments induced by step-wise depressurization. Chinese Science Bulletin (Chinese Version). 65(21). 2292–2302. 3 indexed citations
17.
Wang, Daigang & Jingjing Sun. (2019). Oil recovery for fractured-vuggy carbonate reservoirs by cyclic water huff and puff: performance analysis and prediction. Scientific Reports. 9(1). 15231–15231. 16 indexed citations
18.
Wang, Daigang, Yong Li, Jing Zhang, et al.. (2019). Improved CRM Model for Inter-Well Connectivity Estimation and Production Optimization: Case Study for Karst Reservoirs. Energies. 12(5). 816–816. 14 indexed citations
19.
Jin, Jiafeng, Haoyu Wang, Min Liu, et al.. (2018). An efficient and environmental-friendly dispersant based on the synergy of amphiphilic surfactants for oil spill remediation. Chemosphere. 215. 241–247. 53 indexed citations
20.
Hou, Jian, Yanhui Zhang, Daigang Wang, & Kang Zhou. (2015). Numerical simulation of reservoir parameters’ synergetic time-variability on development rules. Journal of Petroleum Exploration and Production Technology. 6(4). 641–652. 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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