Ming Tan

1.2k citations
41 papers · 976 · h-index 19

Impact in

Papers in

Ming Tan

36 papers receiving 966 citations

Peers

Ming Tan
Comparison fields: 5 of 77
  • Water Science and Technology 447
  • Industrial and Manufacturing Engineering 102
  • Biomedical Engineering 443
  • Mechanical Engineering 321
  • Electrical and Electronic Engineering 343
Replace Akshay Jain with:
Akshay Jain Singapore
Vijaya Kumar Bulasara India
Yukun Huang China
Amir Mehdi Dehkhoda Canada
Moinuddin Ghauri Pakistan
Adnan A. AbdulRazak Iraq
Néstor Tancredi Uruguay
Fathiah Mohamed Zuki Malaysia
Xiaochen Jiang China
Cecilia Pagliero Argentina
Ming Tan relative to Akshay Jain Singapore Akshay Jain's profile →
Citations per field
00.5×1.5×
Akshay Jain · 1×
Citations per year

Countries citing papers authored by Ming Tan

Since Specialization
Citations

This map shows the geographic impact of Ming 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 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 Tan more than expected).

Fields of papers citing papers by Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012104
2 202169
3 201765
4 201761
5 202057
6 201955
7 201747
8 202046
9 201946
10 201243
11 202241
12 201138
13 202035
14 200830
15 201429
16 201425
17 201321
18 202120
19 201019
20 201715

About Ming Tan

Ming Tan is a scholar working on Biomedical Engineering, Water Science and Technology, Electrical and Electronic Engineering, Mechanical Engineering and Automotive Engineering, having authored 41 papers that have together received 976 indexed citations. Recurring topics across this work include Membrane-based Ion Separation Techniques (23 papers), Membrane Separation Technologies (22 papers), Membrane Separation and Gas Transport (9 papers), Fuel Cells and Related Materials (8 papers), Extraction and Separation Processes (7 papers), Nanopore and Nanochannel Transport Studies (4 papers), Advanced Battery Technologies Research (3 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Water Science and Technology (447 citations), Industrial and Manufacturing Engineering (102 citations), Biomedical Engineering (443 citations), Mechanical Engineering (321 citations) and Electrical and Electronic Engineering (343 citations). Ming Tan has collaborated with scholars based in China, Australia and Thailand. Frequent co-authors include Gaohong He, Yang Zhang, Xiangcun Li, Yang Liu, Yang Zhang, Qiaolin Lang, Heqing Jiang, Bao-Ying Wang, Naisen Yu and Wenji Zheng. Their work appears in journals such as Journal of Membrane Science, Desalination, Separation and Purification Technology, Chemical Engineering Journal and The Science of The Total Environment.

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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