Ming‐Lai Fu

7.1k citations
194 papers · 6.1k · h-index 46

Impact in

Papers in

Ming‐Lai Fu

190 papers receiving 6.0k citations

Peers

Ming‐Lai Fu
Comparison fields: 5 of 108
  • Water Science and Technology 2.3k
  • Renewable Energy, Sustainability and the Environment 2.4k
  • Industrial and Manufacturing Engineering 722
  • Inorganic Chemistry 1.0k
  • Environmental Chemistry 504
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Lai Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Lai Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011197
2 2019178
3 2017164
4 2020145
5 2018129
6 2006129
7 2021124
8 2016119
9 2012118
10 2013117
11 2004116
12 2020115
13 2013114
14 2020104
15 2016100
16 201790
17 201686
18 202284
19 202083
20 200477

About Ming‐Lai Fu

Ming‐Lai Fu is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Water Science and Technology, Electronic, Optical and Magnetic Materials and Inorganic Chemistry, having authored 194 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (59 papers), Advanced oxidation water treatment (25 papers), Metal-Organic Frameworks: Synthesis and Applications (24 papers), Adsorption and biosorption for pollutant removal (23 papers), Solar-Powered Water Purification Methods (21 papers), Environmental remediation with nanomaterials (21 papers), Nanomaterials for catalytic reactions (17 papers) and TiO2 Photocatalysis and Solar Cells (17 papers). The work is most often cited by research in Water Science and Technology (2.3k citations), Renewable Energy, Sustainability and the Environment (2.4k citations), Industrial and Manufacturing Engineering (722 citations), Inorganic Chemistry (1.0k citations) and Environmental Chemistry (504 citations). Ming‐Lai Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Baoling Yuan, Haojie Cui, Jia‐Cheng E. Yang, Jian‐Wen Shi, Jiang-Bo Huo, Lei Xu, Shaobin Wang, Xi Liu, Lei Xu and Min‐Ping Zhu. Their work appears in journals such as Chemical Engineering Journal, Chemosphere, Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of environmental chemical engineering and Journal of Colloid and Interface Science.

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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