Ming-Lan Ge

844 total citations
33 papers, 734 citations indexed

About

Ming-Lan Ge is a scholar working on Catalysis, Filtration and Separation and Fluid Flow and Transfer Processes. According to data from OpenAlex, Ming-Lan Ge has authored 33 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Catalysis, 25 papers in Filtration and Separation and 22 papers in Fluid Flow and Transfer Processes. Recurrent topics in Ming-Lan Ge's work include Ionic liquids properties and applications (26 papers), Chemical and Physical Properties in Aqueous Solutions (25 papers) and Thermodynamic properties of mixtures (22 papers). Ming-Lan Ge is often cited by papers focused on Ionic liquids properties and applications (26 papers), Chemical and Physical Properties in Aqueous Solutions (25 papers) and Thermodynamic properties of mixtures (22 papers). Ming-Lan Ge collaborates with scholars based in China, Türkiye and United States. Ming-Lan Ge's co-authors include Li‐Sheng Wang, Junsheng Wu, Miyi Li, Qi Zhang, Ru‐Song Zhao, Qing Zhou, Jianbo Chen, Jinyuan Chen, Xiao‐Jun Yang and Lisheng Wang and has published in prestigious journals such as Fuel Processing Technology, Journal of Chemical & Engineering Data and Materials Chemistry and Physics.

In The Last Decade

Ming-Lan Ge

33 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Lan Ge China 17 613 391 310 193 121 33 734
Marta Laskowska Poland 9 570 0.9× 274 0.7× 290 0.9× 171 0.9× 108 0.9× 12 618
Luke D. Simoni United States 14 572 0.9× 341 0.9× 162 0.5× 336 1.7× 73 0.6× 21 852
Khaled H.A.E. Alkhaldi Kuwait 14 360 0.6× 125 0.3× 220 0.7× 303 1.6× 138 1.1× 34 612
C. Jork Germany 4 566 0.9× 254 0.6× 139 0.4× 216 1.1× 60 0.5× 6 649
Olga Iulian Romania 18 368 0.6× 202 0.5× 529 1.7× 394 2.0× 256 2.1× 34 798
Sandra Corderí Spain 13 432 0.7× 148 0.4× 133 0.4× 235 1.2× 60 0.5× 16 528
Luisa Alonso Spain 12 822 1.3× 249 0.6× 226 0.7× 292 1.5× 196 1.6× 12 989
Mohammad S. AlTuwaim Kuwait 14 323 0.5× 108 0.3× 200 0.6× 209 1.1× 92 0.8× 29 488
Antje R. Hansmeier Netherlands 6 567 0.9× 184 0.5× 79 0.3× 157 0.8× 108 0.9× 9 671
Adela Fernández Spain 6 432 0.7× 139 0.4× 117 0.4× 134 0.7× 44 0.4× 7 462

Countries citing papers authored by Ming-Lan Ge

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Lan Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Lan Ge. 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 Ming-Lan Ge. The network helps show where Ming-Lan Ge may publish in the future.

Co-authorship network of co-authors of Ming-Lan Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Lan Ge. A scholar is included among the top collaborators of Ming-Lan Ge 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 Ming-Lan Ge. Ming-Lan Ge 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
2.
Zhang, Zhenyu, et al.. (2022). Measurements and correlation of activity coefficients at infinite dilution for organic solutes in 1-heptyl-3-methylimidazolium chloride. Fluid Phase Equilibria. 567. 113713–113713. 2 indexed citations
3.
Zhang, Wei, et al.. (2020). Liquid–Liquid Equilibrium Study for the Ternary System of Water + Acetic Acid + 2-Octanol. Journal of Chemical & Engineering Data. 65(4). 1531–1537. 10 indexed citations
5.
Zhang, Miao, et al.. (2018). Determination of the thermodynamic parameters of ionic liquid 1-propyl-3-methylimidazolium bromide by gas-liquid chromatography. The Journal of Chemical Thermodynamics. 129. 92–98. 9 indexed citations
6.
Zhang, Miao, et al.. (2018). Thermodynamics and selectivity of separation based on activity coefficients at infinite dilution of various solutes in ionic liquid [HMMIM][BF4]. The Journal of Chemical Thermodynamics. 125. 142–148. 16 indexed citations
7.
Ge, Ming-Lan, et al.. (2018). Separation of binary mixtures based on gamma infinity data using [OMMIM][BF4] ionic liquid and modelling of thermodynamic functions. The Journal of Chemical Thermodynamics. 129. 22–29. 12 indexed citations
8.
Chen, Jinyuan, et al.. (2017). Separation of binary mixtures based on gamma infinity data using [OMMIM][NTf2] ionic liquid and modelling of thermodynamic functions. The Journal of Chemical Thermodynamics. 119. 26–33. 11 indexed citations
9.
10.
Ge, Ming-Lan, et al.. (2016). Synthesis of Ru/PDMS nano-composites via supercritial deposition. Materials Chemistry and Physics. 180. 1–4. 5 indexed citations
11.
Chen, Xiao Dong, et al.. (2015). Effects of raw material property of coal tar pitch and reaction conditions on particle size distribution and appearance of mesocarbon microbeads. Journal of Tsinghua University(Science and Technology). 54(3). 314–319. 1 indexed citations
12.
Li, Peipei, et al.. (2015). Preparation of pitch-based general purpose carbon fibers from catalytic slurry oil. Fuel Processing Technology. 140. 231–235. 34 indexed citations
13.
Ge, Ming-Lan, et al.. (2015). Activity coefficients at infinite dilution of alkanes, alkenes, alkyl benzenes in dimethylphosphate based ionic liquids using gas–liquid chromatography. The Journal of Chemical Thermodynamics. 91. 279–285. 27 indexed citations
14.
Ge, Ming-Lan, et al.. (2014). Activity coefficients at infinite dilution of organic solutes in the ionic liquid 1-butyl-3-methylimidazolium methyl sulfate. The Journal of Chemical Thermodynamics. 77. 7–13. 27 indexed citations
15.
Ge, Ming-Lan, et al.. (2010). Densities and Viscosities of Propane-1,2,3-triol + Ethane-1,2-diol at T = (298.15 to 338.15) K. Journal of Chemical & Engineering Data. 55(7). 2649–2651. 43 indexed citations
16.
Ding, Fuchen, et al.. (2009). Alkylization of Benzene with 1-Dodecene Catalyzed by Bronsted Acidic Ionic Liquids. Electrochemistry. 77(8). 591–593. 6 indexed citations
17.
Ge, Ming-Lan, et al.. (2009). QSPR Analysis for Infinite Dilution Activity Coefficients of Organic Solutes in Ionic Liquids. Electrochemistry. 77(8). 745–747. 7 indexed citations
18.
Ge, Ming-Lan & Li‐Sheng Wang. (2008). Activity Coefficients at Infinite Dilution of Polar Solutes in 1-Butyl-3-methylimidazolium Trifluoromethanesulfonate Using Gas–Liquid Chromatography. Journal of Chemical & Engineering Data. 53(3). 846–849. 45 indexed citations
19.
Yang, Xiao‐Jun, Junsheng Wu, Ming-Lan Ge, Li‐Sheng Wang, & Miyi Li. (2008). Activity Coefficients at Infinite Dilution of Alkanes, Alkenes, and Alkyl Benzenes in 1-Hexyl-3-methylimidazolium Trifluoromethanesulfonate Using Gas−Liquid Chromatography. Journal of Chemical & Engineering Data. 53(5). 1220–1222. 41 indexed citations
20.
Ge, Ming-Lan, et al.. (2008). Densities and Viscosities of 1-Butyl-3-methylimidazolium Trifluoromethanesulfonate + H2O Binary Mixtures at T = (303.15 to 343.15) K. Journal of Chemical & Engineering Data. 53(10). 2408–2411. 81 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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