Ming‐Chung Wu

4.3k total citations
157 papers, 3.6k citations indexed

About

Ming‐Chung Wu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Ming‐Chung Wu has authored 157 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Electrical and Electronic Engineering, 78 papers in Materials Chemistry and 53 papers in Polymers and Plastics. Recurrent topics in Ming‐Chung Wu's work include Conducting polymers and applications (48 papers), Perovskite Materials and Applications (45 papers) and Quantum Dots Synthesis And Properties (33 papers). Ming‐Chung Wu is often cited by papers focused on Conducting polymers and applications (48 papers), Perovskite Materials and Applications (45 papers) and Quantum Dots Synthesis And Properties (33 papers). Ming‐Chung Wu collaborates with scholars based in Taiwan, Finland and India. Ming‐Chung Wu's co-authors include Wei‐Fang Su, Shun‐Hsiang Chan, Ting‐Han Lin, Kun‐Mu Lee, Kai‐Chi Hsiao, Yin‐Hsuan Chang, Yang‐Fang Chen, Meng‐Huan Jao, Shih‐Hsuan Chen and Hsueh‐Chung Liao and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and ACS Nano.

In The Last Decade

Ming‐Chung Wu

155 papers receiving 3.6k citations

Peers

Ming‐Chung Wu
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 2.0k
  • Materials Chemistry 2.0k
  • Renewable Energy, Sustainability and the Environment 1.1k
  • Polymers and Plastics 1000
  • Biomedical Engineering 669
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Joe Briscoe United Kingdom
Guifu Zou China
Julia Kunze‐Liebhäuser Germany
Junghyun Lee South Korea
Qingchi Xu China
Neeraj Khare India View profile →
Citations per field, relative to Ming‐Chung Wu
Ming‐Chung Wu · 1×
Citations per year, relative to Ming‐Chung Wu
Ming‐Chung Wu · 1×

Countries citing papers authored by Ming‐Chung Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Chung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chung Wu. A scholar is included among the top collaborators of Ming‐Chung Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Chung Wu. Ming‐Chung Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 4
3 8
4 3
5 6
6 16
7 3
8 3
9 2
10 4
11 1
12 8
13 9
14 5
15 2
16 14
17 17
18 18
19 21
20 5

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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