Ming-Kai Chuang

421 citations
12 papers · 370 · h-index 9

Impact in

Papers in

Ming-Kai Chuang

12 papers receiving 361 citations

Peers

Ming-Kai Chuang
Comparison fields: 5 of 30
  • Polymers and Plastics 100
  • Renewable Energy, Sustainability and the Environment 71
  • Electrical and Electronic Engineering 250
  • Materials Chemistry 151
  • Biomedical Engineering 127
Replace Farzana A. Chowdhury with:
Farzana A. Chowdhury Bangladesh
Ning Lv China
Somnath S. Kundale India
Hye Yeon Jang South Korea
Hussam Qasem Saudi Arabia
Seung-Bin Kim South Korea
Deidra Hodges United States
Ziqi Jia China
L. Sicot France
Wonbin Kim South Korea
Ming-Kai Chuang relative to Farzana A. Chowdhury Bangladesh Farzana A. Chowdhury's profile →
Citations per field
00.5×11.8×
Farzana A. Chowdhury · 1×
Citations per year

Countries citing papers authored by Ming-Kai Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Kai Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Kai Chuang. 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-Kai Chuang. The network helps show where Ming-Kai Chuang may publish in the future.

Co-authors

The 9 scholars most cited alongside Ming-Kai Chuang, 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-Kai Chuang Line = papers co-authored together Ming-Kai Chuang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201398
2 201464
3 201555
4 201340
5 201137
6 201523
7 201118
8 201413
9 20208
10 20177
11 20174
12 20153

About Ming-Kai Chuang

Ming-Kai Chuang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics, Materials Chemistry and Artificial Intelligence, having authored 12 papers that have together received 370 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (10 papers), Nanowire Synthesis and Applications (7 papers), Conducting polymers and applications (6 papers), Quantum Dots Synthesis And Properties (2 papers), Organic Light-Emitting Diodes Research (2 papers), solar cell performance optimization (2 papers), Photovoltaic System Optimization Techniques (1 paper) and 2D Materials and Applications (1 paper). The work is most often cited by research in Polymers and Plastics (100 citations), Renewable Energy, Sustainability and the Environment (71 citations), Electrical and Electronic Engineering (250 citations), Materials Chemistry (151 citations) and Biomedical Engineering (127 citations). Ming-Kai Chuang has collaborated with scholars based in Taiwan, Malaysia and India. Frequent co-authors include Fang‐Chung Chen, Chain‐Shu Hsu, Chih‐Wei Chu, Saad Mekhilef, Kok Soon Tey, Hong‐Tzer Yang, Shang-Chieh Chien, Ganesh D. Sharma and Seong Shan Yap. Their work appears in journals such as ACS Applied Materials & Interfaces, Dyes and Pigments, Semiconductor Science and Technology, Energy & Environmental Science and 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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