Shangwen Zhou

2.3k total citations · 1 hit paper
64 papers, 1.9k citations indexed

About

Shangwen Zhou is a scholar working on Mechanics of Materials, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Shangwen Zhou has authored 64 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Mechanics of Materials, 35 papers in Ocean Engineering and 27 papers in Global and Planetary Change. Recurrent topics in Shangwen Zhou's work include Hydrocarbon exploration and reservoir analysis (59 papers), Coal Properties and Utilization (31 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Shangwen Zhou is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (59 papers), Coal Properties and Utilization (31 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Shangwen Zhou collaborates with scholars based in China, United States and Jordan. Shangwen Zhou's co-authors include Wei Guo, Huaqing Xue, Jianchao Cai, Yang Ning, Hongyan Wang, Harpreet Singh, Qin Zhang, Xinhua Ma, Leifu Zhang and Wei Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth-Science Reviews and Energy.

In The Last Decade

Shangwen Zhou

64 papers receiving 1.9k citations

Hit Papers

Deep shale gas in China: ... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangwen Zhou China 22 1.7k 1.2k 743 551 227 64 1.9k
Wenming Ji China 19 1.7k 1.0× 1.1k 1.0× 774 1.0× 443 0.8× 185 0.8× 38 1.8k
Nisael Solano Canada 8 1.6k 0.9× 1.1k 0.9× 717 1.0× 327 0.6× 172 0.8× 13 1.7k
Jizheng Yi China 20 1.6k 1.0× 916 0.8× 550 0.7× 506 0.9× 261 1.1× 22 1.7k
Zhiye Gao China 22 1.6k 1.0× 955 0.8× 665 0.9× 359 0.7× 165 0.7× 55 1.8k
Xianglu Tang China 19 1.5k 0.9× 846 0.7× 548 0.7× 432 0.8× 210 0.9× 74 1.6k
Andrzej P. Radliński Australia 13 2.2k 1.3× 1.5k 1.3× 810 1.1× 439 0.8× 297 1.3× 29 2.4k
William L. Esch United States 11 1.5k 0.9× 642 0.6× 813 1.1× 355 0.6× 160 0.7× 15 1.6k
Mianmo Meng China 19 1.2k 0.7× 851 0.7× 689 0.9× 216 0.4× 115 0.5× 53 1.3k
Zhengfu Ning China 25 2.0k 1.2× 1.7k 1.5× 1.1k 1.5× 438 0.8× 209 0.9× 121 2.6k
Dexun Liu China 15 1.5k 0.9× 689 0.6× 614 0.8× 552 1.0× 245 1.1× 25 1.7k

Countries citing papers authored by Shangwen Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shangwen Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangwen Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shangwen Zhou. A scholar is included among the top collaborators of Shangwen Zhou 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 Shangwen Zhou. Shangwen Zhou 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.
Liang, Feng, Qun Zhao, Qin Zhang, et al.. (2024). Controls of paleogeomorphology on organic matter accumulation as recorded in Ordovician–Silurian marine black shales in the western South China Block. Marine and Petroleum Geology. 172. 107206–107206. 3 indexed citations
2.
Jiao, Xiaoli, et al.. (2024). Characterization of water micro-distribution behavior in shalenanopores: A comparison between experiment and theoreticalmodel. ADVANCES IN GEO-ENERGY RESEARCH. 15(1). 79–86. 4 indexed citations
3.
Wang, Yuman, Shangwen Zhou, Feng Liang, et al.. (2023). Reservoir Space Characterization of Ordovician Wulalike Formation in Northwestern Ordos Basin, China. Processes. 11(9). 2791–2791. 4 indexed citations
4.
Xu, Sai, Shangwen Zhou, Junping Zhou, et al.. (2022). Multiscale Pore Structure Evolution of Longmaxi Shale Induced by Acid Treatment. SPE Journal. 28(2). 831–844. 10 indexed citations
6.
Xiong, Jian, et al.. (2022). Insights into the pore structure characteristics of the Lower Silurian Longmaxi Formation shale in the Jiaoshiba area, Southern Sichuan Basin, China. Journal of Petroleum Exploration and Production Technology. 12(10). 2857–2868. 11 indexed citations
7.
Zhou, Shangwen, Hongyan Wang, Bobo Li, et al.. (2022). Predicting adsorbed gas capacity of deep shales under high temperature and pressure: Experiments and modeling. ADVANCES IN GEO-ENERGY RESEARCH. 6(6). 482–491. 34 indexed citations
8.
Wei, Wei, et al.. (2021). Impacts of gas properties and transport mechanisms on the permeability of shale at pore and core scale. Energy. 244. 122707–122707. 34 indexed citations
10.
Wei, Wei, et al.. (2021). Experimental and Fractal Characterization of the Microstructure of Shales from Sichuan Basin, China. Energy & Fuels. 35(5). 3899–3914. 37 indexed citations
11.
Shen, Weijun, Xizhe Li, Tianran Ma, et al.. (2021). High-pressure methane adsorption behavior on deep shales: Experiments and modeling. Physics of Fluids. 33(6). 90 indexed citations
12.
Cai, Jianchao, et al.. (2021). Controlling Factor Analysis of Microstructural Property and Storage Capacity of Deep Longmaxi Formation Shale in Sichuan Basin. Energy & Fuels. 35(24). 20092–20102. 28 indexed citations
13.
Duan, Xianggang, Zhiming Hu, Lu Chen, et al.. (2021). Apparent Diffusion Coefficient of Gas in Shale Reservoirs and Insights into Its Diffusion Behavior: A Modeling and Experimental Study. Energy & Fuels. 35(16). 13065–13076. 1 indexed citations
14.
Zhou, Shangwen, Dazhong Dong, Jiehui Zhang, et al.. (2021). Optimization of key parameters for porosity measurement of shale gas reservoirs. Natural Gas Industry B. 8(5). 455–463. 17 indexed citations
15.
Cai, Jianchao, et al.. (2019). A simple permeability model for shale gas and key insights on relative importance of various transport mechanisms. Fuel. 252. 210–219. 106 indexed citations
16.
Cai, Jianchao, et al.. (2018). Shale gas transport model in 3D fractal porous media with variable pore sizes. Marine and Petroleum Geology. 98. 437–447. 135 indexed citations
17.
Zhou, Shangwen, et al.. (2017). A mineral analysis method for shale based on SEM and X-ray EDS. Zhongguo shiyou kantan. 22(6). 27–33. 2 indexed citations
18.
Zhou, Shangwen, Hongyan Wang, Huaqing Xue, Wei Guo, & Xiaobo Li. (2017). Supercritical methane adsorption on shale gas: Mechanism and model. Chinese Science Bulletin (Chinese Version). 62(35). 4189–4200. 20 indexed citations
19.
Zhou, Shangwen, et al.. (2016). Supercritical isothermal adsorption characteristics of shale gas based on gravimetric method. 41(11). 2812. 4 indexed citations
20.
Xue, Huaqing, et al.. (2016). Determination on permeability by Pore Pressure Oscillation Method. 37(10). 2154. 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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