Ming K. Tan

2.6k citations
79 papers · 2.2k · h-index 25

Impact in

Papers in

Ming K. Tan

75 papers receiving 2.2k citations

Peers

Ming K. Tan
Comparison fields: 5 of 94
  • Biomedical Engineering 1.4k
  • Surfaces, Coatings and Films 162
  • Computational Mechanics 329
  • Electrical and Electronic Engineering 836
  • Radiology, Nuclear Medicine and Imaging 183
Replace Jia Zhou with:
Jia Zhou China
Rochish Thaokar India
Pascal Tristant France
B. Prunet–Foch France
Jing Fan United States
Tae Gon Kang South Korea
Nico de Rooij Switzerland
Ofer Manor Israel
Tomoaki Ikegami Japan
Ming K. Tan relative to Jia Zhou China Jia Zhou's profile →
Citations per field
00.5×4.5×
Jia Zhou · 1×
Citations per year

Countries citing papers authored by Ming K. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ming K. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming K. Tan. 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 K. Tan. The network helps show where Ming K. Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008277
2 2009187
3 2007161
4 2011107
5 2009101
6 200984
7 202382
8 201069
9 201961
10 201549
11 202045
12 201441
13 201741
14 201440
15 200740
16 201838
17 199734
18 201233
19 202032
20 201631

About Ming K. Tan

Ming K. Tan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Computational Mechanics, Mechanical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (31 papers), Microfluidic and Capillary Electrophoresis Applications (18 papers), Electrohydrodynamics and Fluid Dynamics (17 papers), Plasma Applications and Diagnostics (10 papers), Fluid Dynamics and Heat Transfer (9 papers), Surface Modification and Superhydrophobicity (7 papers), Acoustic Wave Resonator Technologies (7 papers) and Solar-Powered Water Purification Methods (7 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Surfaces, Coatings and Films (162 citations), Computational Mechanics (329 citations), Electrical and Electronic Engineering (836 citations) and Radiology, Nuclear Medicine and Imaging (183 citations). Ming K. Tan has collaborated with scholars based in Malaysia, Australia and United States. Frequent co-authors include Leslie Y. Yeo, James Friend, Yew Mun Hung, Richie J. Shilton, David B. Go, Hsueh‐Chia Chang, Tong Wei, Jenny Ho, Omar K. Matar and Chien Wei Ooi. Their work appears in journals such as Applied Physics Letters, International Journal of Thermal Sciences, International Journal of Heat and Mass Transfer, Europhysics Letters (EPL) and Lab on a Chip.

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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