Ming-Lan Ge

852 citations
33 papers · 755 · h-index 17

Impact in

Papers in

    • Ionic liquids properties and applications 26
    • Catalysis and Oxidation Reactions 2
    • Chemical and Physical Properties in Aqueous Solutions 25

Ming-Lan Ge

33 papers receiving 748 citations

Peers

Ming-Lan Ge
Comparison fields: 5 of 40
  • Filtration and Separation 396
  • Catalysis 628
  • Fluid Flow and Transfer Processes 317
  • Electrochemistry 51
  • Spectroscopy 101
Replace Marta Laskowska with:
Marta Laskowska Poland
Somenath Panda India
Luisa Alonso Spain
Olga Iulian Romania
Khaled H.A.E. Alkhaldi Kuwait
C. Jork Germany
Luke D. Simoni United States
Sandra Corderí Spain
Mohammad S. AlTuwaim Kuwait
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ming-Lan Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming-Lan Ge Line = papers co-authored together Ming-Lan Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200886
2 200769
3 200857
4 200846
5 201046
6 200843
7 201238
8 201537
9 200932
10 201428
11 201128
12 200827
13 201527
14 201621
15 201719
16 201818
17 201816
18 201913
19 201812
20 200912

About Ming-Lan Ge

Ming-Lan Ge is a scholar working on Catalysis, Filtration and Separation, Fluid Flow and Transfer Processes, Spectroscopy and Mechanical Engineering, having authored 33 papers that have together received 755 indexed citations. Recurring topics across this work include Ionic liquids properties and applications (26 papers), Chemical and Physical Properties in Aqueous Solutions (25 papers), Thermodynamic properties of mixtures (22 papers), Analytical Chemistry and Chromatography (4 papers), Phase Equilibria and Thermodynamics (3 papers), Fiber-reinforced polymer composites (3 papers), Extraction and Separation Processes (2 papers) and Catalysis and Oxidation Reactions (2 papers). The work is most often cited by research in Filtration and Separation (396 citations), Catalysis (628 citations), Fluid Flow and Transfer Processes (317 citations), Electrochemistry (51 citations) and Spectroscopy (101 citations). Ming-Lan Ge has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Li‐Sheng Wang, Junsheng Wu, Miyi Li, Qi Zhang, Ru‐Song Zhao, Jianbo Chen, Qing Zhou, Xiao‐Jun Yang, Jinyuan Chen and Xiaoguang Ren. Their work appears in journals such as Journal of Chemical & Engineering Data, The Journal of Chemical Thermodynamics, Fuel Processing Technology, Materials Chemistry and Physics and Materials Research Innovations.

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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