Mingda Wu

26 papers receiving 1k citations

Peers

Mingda Wu
Comparison fields: 5 of 56
  • Renewable Energy, Sustainability and the Environment 548
  • Surfaces, Coatings and Films 88
  • Biomaterials 50
  • Polymers and Plastics 44
  • Molecular Medicine 23
Replace Filippo Drago with:
Filippo Drago Italy
Haixia Shen China
Caixia Yang China
Se Woong Park South Korea
Zhanjun Xie China
Zurina Osman Malaysia
Zhengyang Weng Hong Kong
Zequn Ma China
Jisun Im United States
Benhua Ma China
Mingda Wu relative to Filippo Drago Italy Filippo Drago's profile →
Citations per field
00.5×10×20×26×
Filippo Drago · 1×
Citations per year

Countries citing papers authored by Mingda Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mingda Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019234
2 2017198
3 2018156
4 2015151
5 201957
6 201440
7 201934
8 201331
9 202023
10 201522
11 201922
12 201818
13 202017
14 201810
15 20018
16 20207
17 20026
18 20215
19
Analysis of near-field power transfer using scattering parameters
20134
20 20224

About Mingda Wu

Mingda Wu is a scholar working on Renewable Energy, Sustainability and the Environment, Surfaces, Coatings and Films, Electrical and Electronic Engineering, Materials Chemistry and Biomaterials, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Wireless Power Transfer Systems (3 papers), Polymer Surface Interaction Studies (2 papers), Adsorption and biosorption for pollutant removal (2 papers), Luminescence and Fluorescent Materials (2 papers), Silicon Carbide Semiconductor Technologies (2 papers) and Quantum Dots Synthesis And Properties (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (548 citations), Surfaces, Coatings and Films (88 citations), Biomaterials (50 citations), Polymers and Plastics (44 citations) and Molecular Medicine (23 citations). Mingda Wu has collaborated with scholars based in China, Singapore and Taiwan. Frequent co-authors include Yuanzhi Chen, Wee‐Jun Ong, Deqian Zeng, Dong‐Liang Peng, Ming‐Yong Han, Hongfei Zheng, Junqi Sun, Guijian Guan, Xiaoguang Duan and Wanjie Xu. Their work appears in journals such as ACS Applied Materials & Interfaces, Langmuir, Journal of Crystal Growth, Applied Catalysis B: Environmental and ACS Applied Nano Materials.

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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