Mingda Wu

1.1k citations
31 papers · 1.0k · h-index 13

Impact in

Papers in

Mingda Wu

29 papers receiving 1.0k citations

Peers

Mingda Wu
Comparison fields: 5 of 96
  • Renewable Energy, Sustainability and the Environment 563
  • Surfaces, Coatings and Films 119
  • Materials Chemistry 634
  • Biomaterials 81
  • Polymers and Plastics 79
Replace Zuyang Ye with:
Zuyang Ye United States
Run Jiang China
Guijing Liu China
Caixia Yang China
Zhijian Liao China
Yimeng Wang China
Jiaqi Tang China
Bijal B. Patel United States
Haowei Yang China
Kuang-Sheng Hong United States
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Citations per field
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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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019228
2 2017198
3 2018152
4 2015146
5 201952
6 201439
7 201330
8 201929
9 202023
10 201922
11 201521
12 202016
13 201815
14 200712
15 20189
16 20018
17 20127
18 20207
19 20025
20
Analysis of near-field power transfer using scattering parameters
20134

About Mingda Wu

Mingda Wu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Aerospace Engineering and Surfaces, Coatings and Films, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (5 papers), Antenna Design and Analysis (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Wireless Power Transfer Systems (3 papers), Luminescence and Fluorescent Materials (3 papers), Nanocluster Synthesis and Applications (3 papers), Energy Harvesting in Wireless Networks (3 papers) and Polymer Surface Interaction Studies (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (563 citations), Surfaces, Coatings and Films (119 citations), Materials Chemistry (634 citations), Biomaterials (81 citations) and Polymers and Plastics (79 citations). Mingda Wu has collaborated with scholars based in China, Singapore and Taiwan. Frequent co-authors include Yuanzhi Chen, Dong‐Liang Peng, Deqian Zeng, Wee‐Jun Ong, Ming‐Yong Han, Hongfei Zheng, Junqi Sun, Yi‐An Zhu, Wanjie Xu and Ting Zhou. Their work appears in journals such as ACS Applied Materials & Interfaces, Langmuir, Journal of the American Chemical Society, Sustainability and IEEE Electron Device Letters.

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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