Shuqian Xia

4.8k total citations · 2 hit papers
123 papers, 4.0k citations indexed

About

Shuqian Xia is a scholar working on Biomedical Engineering, Catalysis and Fluid Flow and Transfer Processes. According to data from OpenAlex, Shuqian Xia has authored 123 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Biomedical Engineering, 31 papers in Catalysis and 31 papers in Fluid Flow and Transfer Processes. Recurrent topics in Shuqian Xia's work include Phase Equilibria and Thermodynamics (47 papers), Thermodynamic properties of mixtures (31 papers) and Ionic liquids properties and applications (29 papers). Shuqian Xia is often cited by papers focused on Phase Equilibria and Thermodynamics (47 papers), Thermodynamic properties of mixtures (31 papers) and Ionic liquids properties and applications (29 papers). Shuqian Xia collaborates with scholars based in China, Netherlands and United States. Shuqian Xia's co-authors include Peisheng Ma, Hua Zhao, Chengwu Zhang, Gary A. Baker, Yan Huo, Hao Li, Fangyou Yan, Qiang Wang, Olarongbe Olubajo and Cecil L. Jones and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Shuqian Xia

119 papers receiving 3.9k citations

Hit Papers

Use of ionic liquids as ‘green’ solvents for extractions 2005 2026 2012 2019 2005 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuqian Xia China 29 2.0k 1.5k 646 622 534 123 4.0k
M.I. Abdul Mutalib Malaysia 41 1.5k 0.8× 2.2k 1.5× 1.1k 1.7× 673 1.1× 531 1.0× 149 4.3k
T. Murugesan Malaysia 38 1.4k 0.7× 1.2k 0.8× 996 1.5× 358 0.6× 463 0.9× 133 4.4k
Mohammed Abdulhakim Alsaadi Malaysia 30 1.2k 0.6× 1.9k 1.3× 724 1.1× 597 1.0× 183 0.3× 85 4.7k
Álvaro Silva Lima Brazil 41 1.4k 0.7× 1.5k 1.0× 859 1.3× 441 0.7× 704 1.3× 194 4.9k
Peisheng Ma China 35 2.3k 1.2× 1.7k 1.2× 576 0.9× 1.1k 1.8× 1.4k 2.6× 137 4.5k
Tamal Banerjee India 41 1.8k 0.9× 2.9k 2.0× 1.2k 1.8× 583 0.9× 531 1.0× 189 5.4k
Cecilia Devi Wilfred Malaysia 31 914 0.5× 1.5k 1.0× 762 1.2× 761 1.2× 348 0.7× 122 2.8k
Julián García Spain 40 1.8k 0.9× 3.2k 2.2× 1.3k 2.0× 543 0.9× 557 1.0× 127 4.8k
Kiki Adi Kurnia Indonesia 35 967 0.5× 1.9k 1.3× 659 1.0× 459 0.7× 577 1.1× 101 3.3k

Countries citing papers authored by Shuqian Xia

Since Specialization
Citations

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

Fields of papers citing papers by Shuqian Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuqian Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Shuqian Xia. A scholar is included among the top collaborators of Shuqian Xia 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 Shuqian Xia. Shuqian Xia 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.
2.
Zhu, Xiaochun, Zhiwei Gan, Yueqi Wang, et al.. (2025). The synergistic effect between Ru single-atomic sites and nanoclusters during catalytic hydrotreatment of fast pyrolysis liquids from lignocellulosic biomass. Chemical Engineering Science. 315. 121844–121844.
3.
Yu, Jinjin, Jian Sun, Xinyi Niu, et al.. (2025). Multi-organ toxicity caused by PM2.5 in mice with cardiovascular diseases: The role of PAHs played from the most polluted episodes in China. Journal of Environmental Management. 375. 124330–124330.
4.
Li, Jiangtao & Shuqian Xia. (2024). Bimetallic NiMo Using MOF-Derived Carbon-Supported Catalysts for the Reaction of Lauric Acid to Alkane. Catalysis Surveys from Asia. 28(3). 269–282. 6 indexed citations
5.
Yan, Fangyou, Dongdong Cao, Jialiang Xiong, et al.. (2023). Atomic connectivity group contribution (ACGC) method for critical properties prediction. Chemical Engineering Science. 280. 118990–118990. 5 indexed citations
6.
Li, Ning, et al.. (2023). Effect of molecular weight on the properties of water-soluble terpolymers for heavy oil viscosity reduction. Journal of the Taiwan Institute of Chemical Engineers. 144. 104738–104738. 12 indexed citations
7.
Wang, Chenhui, et al.. (2023). Viscosity reduction mechanism of surface-functionalized Fe3O4 nanoparticles in different types of heavy oil. Fuel. 360. 130535–130535. 18 indexed citations
8.
Shang, Qiaoyan, et al.. (2022). Experiment and model for solubility of CO2 in alkanes with ethyl acetate as cosolvent. The Journal of Chemical Thermodynamics. 168. 106741–106741. 4 indexed citations
9.
Ma, Hao, Shuqian Xia, Caixia Sun, et al.. (2022). Novel Strategy of Polymers in Combination with Silica Particles for Reversible Control of Oil–Water Interface. ACS Applied Materials & Interfaces. 15(1). 2216–2227. 11 indexed citations
10.
Xia, Shuqian, et al.. (2020). A review of nanomaterials as viscosity reducer for heavy oil. Journal of Dispersion Science and Technology. 43(9). 1271–1282. 45 indexed citations
11.
Yan, Fangyou, et al.. (2018). QSAR models for describing the toxicological effects of ILs against Candida albicans based on norm indexes. Chemosphere. 201. 417–424. 20 indexed citations
12.
Zhang, Chengwu, Shuqian Xia, & Peisheng Ma. (2016). Facile pretreatment of lignocellulosic biomass using deep eutectic solvents. Bioresource Technology. 219. 1–5. 406 indexed citations breakdown →
13.
Yan, Fangyou, Qiaoyan Shang, Shuqian Xia, Qiang Wang, & Peisheng Ma. (2015). Application of Topological Index in Predicting Ionic Liquids Densities by the Quantitative Structure Property Relationship Method. Journal of Chemical & Engineering Data. 60(3). 734–739. 35 indexed citations
15.
Wang, Qiang, Qingzhu Jia, Lihong Yan, Shuqian Xia, & Peisheng Ma. (2014). Quantitative structure–toxicity relationship of the aquatic toxicity for various narcotic pollutants using the norm indexes. Chemosphere. 108. 383–387. 22 indexed citations
16.
Yan, Qiao, Fangyou Yan, Shuqian Xia, & Peisheng Ma. (2013). Densities and Viscosities of 1-butyl-3-methylimidazolium Hexafluorophosphate [bmim][PF6] + CO2 Binary System: Determination and Correlation. Chinese Journal of Chemical Engineering. 21(11). 1284–1290. 7 indexed citations
17.
Huo, Yan, Shuqian Xia, Yan Zhang, & Peisheng Ma. (2009). Group Contribution Method for Predicting Melting Points of Imidazolium and Benzimidazolium Ionic Liquids. Industrial & Engineering Chemistry Research. 48(4). 2212–2217. 43 indexed citations
18.
Jiang, Tao, et al.. (2008). Analysis and Comparison of the Alpha Functions of SRK Equation of State. Chinese Journal of Chemical Engineering. 16(5). 766–771. 7 indexed citations
19.
Xia, Shuqian. (2007). Progress on Methods for Measuring Surface Tension of Liquids. Bulletin of Science and Technology. 4 indexed citations
20.
Hua, Chao, Peisheng Ma, Shuqian Xia, & Peng Bai. (2005). Solubility of Methane in the Mixture of Ethanol+Hexane at High Pressures. Chinese Journal of Chemical Engineering. 13(1). 144–148. 5 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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