Ming‐Jer Lee

225 papers receiving 4.5k citations

Peers

Ming‐Jer Lee
Comparison fields: 5 of 132
  • Filtration and Separation 764
  • Fluid Flow and Transfer Processes 1.0k
  • Catalysis 773
  • Biomedical Engineering 2.0k
  • Organic Chemistry 997
Replace Hamid Modarress with:
Hamid Modarress Iran
Ho-mu Lin Taiwan
Christoph Held Germany
Wenjun Fang China
Kai Leonhard Germany
João M. M. Araújo Portugal
Peisheng Ma China
Mark A. McHugh United States
José Palomar Spain
Kunio Arai Japan
Ming‐Jer Lee relative to Hamid Modarress Iran Hamid Modarress's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Jer Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jer Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jer Lee. 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‐Jer Lee. The network helps show where Ming‐Jer Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Jer Lee, 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‐Jer Lee Line = papers co-authored together Ming‐Jer Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 231 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005160
2 2019139
3 2010116
4 2000113
5 2009104
6 200888
7 200988
8 200778
9 200275
10 201465
11 201363
12 200763
13 201162
14 200659
15 202159
16 200758
17 200757
18 200455
19 200153
20 201149

About Ming‐Jer Lee

Ming‐Jer Lee is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes, Organic Chemistry, Filtration and Separation and Materials Chemistry, having authored 231 papers that have together received 4.6k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (124 papers), Thermodynamic properties of mixtures (106 papers), Chemical and Physical Properties in Aqueous Solutions (59 papers), Chemical Thermodynamics and Molecular Structure (51 papers), Crystallization and Solubility Studies (41 papers), Process Optimization and Integration (24 papers), Ionic liquids properties and applications (23 papers) and Advanced Control Systems Optimization (13 papers). The work is most often cited by research in Filtration and Separation (764 citations), Fluid Flow and Transfer Processes (1.0k citations), Catalysis (773 citations), Biomedical Engineering (2.0k citations) and Organic Chemistry (997 citations). Ming‐Jer Lee has collaborated with scholars based in Taiwan, India and United States. Frequent co-authors include Ho-mu Lin, Mohamed Taha, Bhupender S. Gupta, Pannur Venkatesu, Leta Deressa Tolesa, Cheng‐Ching Yu, Hsien-Tsung Wu, Yu‐Ting Tsai, Gui‐Bing Hong and Hsiao‐Ping Huang. Their work appears in journals such as Fluid Phase Equilibria, Journal of Chemical & Engineering Data, Industrial & Engineering Chemistry Research, The Journal of Chemical Thermodynamics and The Journal of Supercritical Fluids.

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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