Xiaoqiang Bian

772 total citations
30 papers, 608 citations indexed

About

Xiaoqiang Bian is a scholar working on Biomedical Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Xiaoqiang Bian has authored 30 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 12 papers in Mechanical Engineering and 11 papers in Ocean Engineering. Recurrent topics in Xiaoqiang Bian's work include Phase Equilibria and Thermodynamics (14 papers), Carbon Dioxide Capture Technologies (6 papers) and CO2 Sequestration and Geologic Interactions (5 papers). Xiaoqiang Bian is often cited by papers focused on Phase Equilibria and Thermodynamics (14 papers), Carbon Dioxide Capture Technologies (6 papers) and CO2 Sequestration and Geologic Interactions (5 papers). Xiaoqiang Bian collaborates with scholars based in China, France and Australia. Xiaoqiang Bian's co-authors include Zhimin Du, Yong Tang, Jean‐Noël Jaubert, Qian Zhang, Jing Chen, Lu Zhang, Yongbing Liu, Ruizhi Yang, Jianye Zhang and Wei Xiong and has published in prestigious journals such as International Journal of Hydrogen Energy, Fuel and Industrial & Engineering Chemistry Research.

In The Last Decade

Xiaoqiang Bian

27 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoqiang Bian China 15 285 195 150 121 107 30 608
Amir Varamesh Canada 10 239 0.8× 217 1.1× 144 1.0× 92 0.8× 85 0.8× 15 604
Tomoaki Kashiwao Japan 15 287 1.0× 341 1.7× 236 1.6× 144 1.2× 152 1.4× 44 876
F. Carl Knopf United States 20 443 1.6× 204 1.0× 56 0.4× 36 0.3× 53 0.5× 48 867
Ali Barati‐Harooni Iran 21 377 1.3× 343 1.8× 361 2.4× 244 2.0× 82 0.8× 44 993
Amin Bemani Iran 18 270 0.9× 250 1.3× 269 1.8× 237 2.0× 83 0.8× 32 888
Zhimin Du China 17 227 0.8× 579 3.0× 546 3.6× 611 5.0× 169 1.6× 77 1.2k
Stéphane Vitu France 14 662 2.3× 236 1.2× 45 0.3× 43 0.4× 36 0.3× 29 858
Mohammad-Reza Mohammadi Iran 19 226 0.8× 323 1.7× 367 2.4× 329 2.7× 97 0.9× 45 856
Adel Najafi‐Marghmaleki Iran 22 366 1.3× 376 1.9× 430 2.9× 284 2.3× 97 0.9× 54 1.1k
Meisam Babanezhad Iran 21 437 1.5× 340 1.7× 91 0.6× 20 0.2× 86 0.8× 44 960

Countries citing papers authored by Xiaoqiang Bian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqiang Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqiang Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqiang Bian. A scholar is included among the top collaborators of Xiaoqiang Bian 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 Xiaoqiang Bian. Xiaoqiang Bian 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.
Bian, Xiaoqiang, et al.. (2025). Liquid hydrogen carriers for clean energy systems: A critical review of chemical hydrogen storage strategies. Fuel. 404. 136329–136329. 2 indexed citations
2.
Bian, Xiaoqiang, et al.. (2025). Predicting hydrogen storage in metal-organic frameworks using a novel hybrid machine learning model. International Journal of Hydrogen Energy. 145. 401–411. 2 indexed citations
3.
Bian, Xiaoqiang, et al.. (2025). Impact of pore confinement and adsorption on gas condensate critical properties confined in Marcellus Shale. Journal of Natural Gas Geoscience. 10(3). 199–218.
4.
Liu, Kun, et al.. (2025). Predicting CO2 solubility in water and brines using advanced machine learning models. Geoenergy Science and Engineering. 257. 214234–214234.
5.
Bian, Xiaoqiang, et al.. (2024). Coupling model of gas-water two-phase productivity calculation for fractured horizontal wells in tight gas reservoirs. Geoenergy Science and Engineering. 234. 212666–212666. 4 indexed citations
6.
7.
Bian, Xiaoqiang, et al.. (2024). Improved neural network model based on dung beetle algorithm to predict CO2-brine interfacial tension. Geoenergy Science and Engineering. 239. 212957–212957. 3 indexed citations
8.
Zhang, Heng‐Ru, et al.. (2024). SWIM: Sliding-Window Model contrast for federated learning. Future Generation Computer Systems. 164. 107590–107590. 3 indexed citations
9.
10.
Bian, Xiaoqiang, et al.. (2023). Estimating CO2 solubility in ionic liquids by using machine learning methods. Journal of Molecular Liquids. 391. 123308–123308. 11 indexed citations
11.
Bian, Xiaoqiang, et al.. (2023). Modelling phase equilibria in the CO2/CH4-H2O-NaCl system using the association equation of state. Fluid Phase Equilibria. 577. 113987–113987. 6 indexed citations
12.
Chen, Jing, Xiaoqiang Bian, Alejandro Montoya, et al.. (2019). From ethyl biodiesel to biolubricants: Options for an Indian mustard integrated biorefinery toward a green and circular economy. Industrial Crops and Products. 137. 597–614. 38 indexed citations
13.
Bian, Xiaoqiang, et al.. (2019). Prediction of Wax Disappearance Temperature by Intelligent Models. Energy & Fuels. 33(4). 2934–2949. 28 indexed citations
14.
Xiong, Wei, Xiaoqiang Bian, & Yongbing Liu. (2019). Phase equilibrium modeling for methane solubility in aqueous sodium chloride solutions using an association equation of state. Fluid Phase Equilibria. 506. 112416–112416. 16 indexed citations
15.
Bian, Xiaoqiang, Lu Zhang, Zhimin Du, Jing Chen, & Jianye Zhang. (2018). Prediction of sulfur solubility in supercritical sour gases using grey wolf optimizer-based support vector machine. Journal of Molecular Liquids. 261. 431–438. 51 indexed citations
16.
Bian, Xiaoqiang, Qian Zhang, Lu Zhang, & Jing Chen. (2017). A grey wolf optimizer-based support vector machine for the solubility of aromatic compounds in supercritical carbon dioxide. Process Safety and Environmental Protection. 123. 284–294. 27 indexed citations
17.
Bian, Xiaoqiang, Jing Li, Jing Chen, Mingjun Li, & Zhimin Du. (2015). A combined model for the solubility of different compounds in supercritical carbon dioxide. Process Safety and Environmental Protection. 104. 416–428. 9 indexed citations
18.
Tang, Yong, Ruizhi Yang, & Xiaoqiang Bian. (2014). A Review ofCO2Sequestration Projects and Application in China. The Scientific World JOURNAL. 2014. 1–11. 32 indexed citations
19.
Bian, Xiaoqiang, Zhimin Du, Yong Tang, & Jianfen Du. (2012). Measurement and correlation of compressibility factor of high CO2-content natural gas. Journal of Petroleum Science and Engineering. 82-83. 38–43. 15 indexed citations
20.
Bian, Xiaoqiang, Zhimin Du, & Yong Tang. (2011). Experimental determination and prediction of the compressibility factor of high CO2 content natural gas with and without water vapor. Journal of Natural Gas Chemistry. 20(4). 364–371. 15 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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