Ming‐Chun Lu

10.5k citations
265 papers · 8.8k · h-index 51

Impact in

Papers in

Ming‐Chun Lu

259 papers receiving 8.7k citations

Peers

Ming‐Chun Lu
Comparison fields: 5 of 155
  • Water Science and Technology 4.8k
  • Industrial and Manufacturing Engineering 1.7k
  • Renewable Energy, Sustainability and the Environment 2.8k
  • Electrochemistry 508
  • Pollution 772
Replace Chao Shan with:
Chao Shan China
Majeda Khraisheh Qatar
Qian Li China
Liangguo Yan China
Vimal Chandra Srivastava India
Shourong Zheng China
Yunfei Xi Australia
Guangshan Zhang China
Inderjeet Tyagi India
Jibran Iqbal United Arab Emirates
Ming‐Chun Lu relative to Chao Shan China Chao Shan's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Ming‐Chun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 265 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017317
2 2001242
3 2009234
4 2006167
5 2020166
6 2012154
7 2003136
8 2016127
9 2003125
10 2017123
11 2002118
12 2000118
13 2003117
14 2008116
15 2012113
16 1997112
17 1999110
18 2007109
19 2005108
20 2010106

About Ming‐Chun Lu

Ming‐Chun Lu is a scholar working on Water Science and Technology, Renewable Energy, Sustainability and the Environment, Industrial and Manufacturing Engineering, Mechanical Engineering and Materials Chemistry, having authored 265 papers that have together received 8.8k indexed citations. Recurring topics across this work include Advanced oxidation water treatment (102 papers), Advanced Photocatalysis Techniques (56 papers), TiO2 Photocatalysis and Solar Cells (39 papers), Environmental remediation with nanomaterials (29 papers), Adsorption and biosorption for pollutant removal (25 papers), Phosphorus and nutrient management (21 papers), Nanomaterials for catalytic reactions (20 papers) and Water Quality Monitoring and Analysis (20 papers). The work is most often cited by research in Water Science and Technology (4.8k citations), Industrial and Manufacturing Engineering (1.7k citations), Renewable Energy, Sustainability and the Environment (2.8k citations), Electrochemistry (508 citations) and Pollution (772 citations). Ming‐Chun Lu has collaborated with scholars based in Taiwan, Philippines and Thailand. Frequent co-authors include Chia‐Chi Su, Jong‐Nan Chen, Mark Daniel G. de Luna, Jin Anotai, Chavalit Ratanatamskul, Nalinrut Masomboon, Yao-Hui Huang, Yao‐Hui Huang, Carl Francis Z. Lacson and Wang-Ping Ting. Their work appears in journals such as Chemosphere, Separation and Purification Technology, Journal of Hazardous Materials, Environmental Science and Pollution Research and Sustainable Environment Research.

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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