Junjian Wang

1.1k total citations · 1 hit paper
31 papers, 843 citations indexed

About

Junjian Wang is a scholar working on Ocean Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Junjian Wang has authored 31 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ocean Engineering, 12 papers in Mechanics of Materials and 12 papers in Mechanical Engineering. Recurrent topics in Junjian Wang's work include Coal Properties and Utilization (11 papers), Hydrocarbon exploration and reservoir analysis (8 papers) and Lattice Boltzmann Simulation Studies (7 papers). Junjian Wang is often cited by papers focused on Coal Properties and Utilization (11 papers), Hydrocarbon exploration and reservoir analysis (8 papers) and Lattice Boltzmann Simulation Studies (7 papers). Junjian Wang collaborates with scholars based in China, Australia and United States. Junjian Wang's co-authors include Sheik S. Rahman, Qinjun Kang, Ming-Jia Li, Dazhen Tang, Song Li, Jian Shen, Yong Qin, Shida Chen, Yu Jing and Yuzhu Wang and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Water Resources Research.

In The Last Decade

Junjian Wang

28 papers receiving 832 citations

Hit Papers

A comprehensive review of deep coalbed methane and recent... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjian Wang China 14 555 519 284 228 93 31 843
Takashi Akai Japan 16 624 1.1× 507 1.0× 351 1.2× 218 1.0× 71 0.8× 39 943
Teng Li China 20 546 1.0× 647 1.2× 251 0.9× 47 0.2× 98 1.1× 67 914
Johan Olav Helland Norway 17 505 0.9× 321 0.6× 255 0.9× 171 0.8× 47 0.5× 42 666
Yang Ning United States 10 329 0.6× 375 0.7× 146 0.5× 83 0.4× 58 0.6× 20 494
Yashar Mehmani United States 19 469 0.8× 371 0.7× 216 0.8× 277 1.2× 42 0.5× 45 915
Ayaz Mehmani United States 14 667 1.2× 587 1.1× 407 1.4× 105 0.5× 22 0.2× 29 850
Zhengdong Lei China 18 640 1.2× 559 1.1× 541 1.9× 69 0.3× 35 0.4× 104 949
Bowen Yao United States 15 811 1.5× 747 1.4× 713 2.5× 123 0.5× 69 0.7× 24 1.2k
Sahar Bakhshian United States 17 510 0.9× 293 0.6× 250 0.9× 232 1.0× 77 0.8× 37 880
Ali Takbiri-Borujeni United States 14 375 0.7× 397 0.8× 264 0.9× 59 0.3× 41 0.4× 34 599

Countries citing papers authored by Junjian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junjian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junjian Wang. A scholar is included among the top collaborators of Junjian 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 Junjian Wang. Junjian 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
3.
Li, Song, et al.. (2024). Effect of moisture on mechanical and physical properties of coals: a uniaxial compression study. Scientific Reports. 14(1). 27452–27452. 1 indexed citations
4.
Li, Song, Yong Qin, Dazhen Tang, et al.. (2023). A comprehensive review of deep coalbed methane and recent developments in China. International Journal of Coal Geology. 279. 104369–104369. 180 indexed citations breakdown →
5.
Qiao, Yunfei, et al.. (2023). A thermal error prediction model of the motorized spindles based on ABHHO-LSSVM. The International Journal of Advanced Manufacturing Technology. 127(5-6). 2257–2271. 14 indexed citations
6.
Yang, Xiaojiang, An Chen, Jincheng Mao, et al.. (2023). Synthetic polymer fracturing fluid weighted by sodium formate enables fracture stimulations in Ultra-High pressure and High-Temperature reservoir. Fuel. 353. 129170–129170. 12 indexed citations
7.
Jing, Yu, Arash Rabbani, Ryan T. Armstrong, et al.. (2022). An image-based coal network model for simulating hydro-mechanical gas flow in coal: An application to carbon dioxide geo-sequestration. Journal of Cleaner Production. 379. 134647–134647. 14 indexed citations
8.
Jing, Yu, et al.. (2021). Coupling of pipe network modelling and domain decomposition for flow in mineralised coal cores. International Journal of Coal Geology. 245. 103819–103819. 7 indexed citations
9.
Jing, Yu, Arash Rabbani, Ryan T. Armstrong, Junjian Wang, & Peyman Mostaghimi. (2020). A hybrid fracture-micropore network model for multiphysics gas flow in coal. Fuel. 281. 118687–118687. 36 indexed citations
10.
Tao, Shu, et al.. (2019). Abnormal adsorption and desorption of nitrogen at 77 K on coals: Study of causes and improved experimental method. Journal of Natural Gas Science and Engineering. 70. 102940–102940. 16 indexed citations
11.
Wang, Junjian, Dazhen Tang, & Yu Jing. (2019). Analytical Solution of Gas Flow in Rough‐Walled Microfracture at In Situ Conditions. Water Resources Research. 55(7). 6001–6017. 13 indexed citations
12.
Chen, Hao, Dazhen Tang, Song Li, et al.. (2019). Dynamic evaluation of heterogeneity in pore-fracture system of different rank coals under different confining pressure based on low-field NMR. Energy Sources Part A Recovery Utilization and Environmental Effects. 43(13). 1620–1634. 12 indexed citations
13.
Wang, Junjian, Ming-Jia Li, Qinjun Kang, & Sheik S. Rahman. (2016). Apparent permeability prediction of organic shale with generalized lattice Boltzmann model considering surface diffusion effect. Fuel. 181. 478–490. 98 indexed citations
14.
Wang, Junjian, Qinjun Kang, Ming-Jia Li, & Sheik S. Rahman. (2016). Pore-scale lattice Boltzmann simulation of micro-gaseous flow considering surface diffusion effect. International Journal of Coal Geology. 169. 62–73. 54 indexed citations
15.
Yuan, Yudong, Sheik S. Rahman, Junjian Wang, & Nima Gholizadeh Doonechaly. (2015). An Innovative Technique for Estimation of Permeability of Shale Gas Reservoirs. 6 indexed citations
16.
Wang, Junjian, Ming-Jia Li, Qinjun Kang, & Sheik S. Rahman. (2015). The lattice Boltzmann method for isothermal micro-gaseous flow and its application in shale gas flow: A review. International Journal of Heat and Mass Transfer. 95. 94–108. 133 indexed citations
17.
Wang, Junjian, et al.. (2013). Stress sensitivity of coal samples in terms of anisotropy. Journal of Coal Science and Engineering (China). 19(2). 203–209. 10 indexed citations
18.
Wang, Junjian. (2003). Effect of C,Cr and Ni contents on the properties of thermocouple protection tube at high temperature. 1 indexed citations
19.
Wang, Junjian, et al.. (1981). EFFECT OF THE MODULATED STRUCTURE ON PHYSICAL PARAMETER OF A NiFeNbAl ALLOY. Acta Metallurgica Sinica. 17(2). 156–249. 1 indexed citations
20.
Wang, Junjian, et al.. (1978). A PRELIMINARY STUDY OF THE MAGNETIC PROPERTIES AND STRUCTURES OF Ni-Fe-Nb AND Ni-Fe-Nb-Al ALLOYS. Acta Physica Sinica. 27(3). 260–260.

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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