Chun-I Wang
Impact in
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- Conducting polymers and applications
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- Machine Learning in Materials Science
- Luminescence and Fluorescent Materials
Papers in
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- Machine Learning in Materials Science 6
- Block Copolymer Self-Assembly 2
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- Molecular Junctions and Nanostructures 5
- Organic Electronics and Photovoltaics 5
- Co-authors
- Chi C. Hua (6 shared papers)Chao‐Ping Hsu (8 shared papers)Vicente Gilsanz (1 shared paper)M. Ines Boechat (1 shared paper)Gil C. Claudio (2 shared papers)Ignasius Joanito (1 shared paper)Ricky B. Nellas (1 shared paper)Nicholas E. Jackson (5 shared papers)
- Journals
- The Journal of Chemical Physics (3 papers)Journal of Chemical Theory and Computation (3 papers)Chemical Science (2 papers)The Journal of Physical Chemistry A (2 papers)Physical Chemistry Chemical Physics (2 papers)
- Partner nations
- TaiwanUnited StatesPhilippines
In The Last Decade
Chun-I Wang
19 papers receiving 416 citations
Peers
Comparison fields: 5 of 72
- Polymers and Plastics 85
- Materials Chemistry 217
- Electrical and Electronic Engineering 164
- Orthopedics and Sports Medicine 21
- Organic Chemistry 67
Countries citing papers authored by Chun-I Wang
This map shows the geographic impact of Chun-I Wang'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 Chun-I Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-I Wang more than expected).
Fields of papers citing papers by Chun-I Wang
This network shows the impact of papers produced by Chun-I Wang. 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 Chun-I Wang. The network helps show where Chun-I Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-I Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 78 | |
| 2 | 2018 | 70 | |
| 3 | 2019 | 51 | |
| 4 | 2015 | 48 | |
| 5 | 2020 | 39 | |
| 6 | 2014 | 29 | |
| 7 | 2017 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2013 | 18 | |
| 10 | 2023 | 11 | |
| 11 | 2017 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 0 |
About Chun-I Wang
Chun-I Wang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Organic Chemistry, Polymers and Plastics and Electrochemistry, having authored 20 papers that have together received 420 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Molecular Junctions and Nanostructures (5 papers), Organic Electronics and Photovoltaics (5 papers), Electrochemical Analysis and Applications (4 papers), Fullerene Chemistry and Applications (3 papers), Block Copolymer Self-Assembly (2 papers), Computational Drug Discovery Methods (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Polymers and Plastics (85 citations), Materials Chemistry (217 citations), Electrical and Electronic Engineering (164 citations), Orthopedics and Sports Medicine (21 citations) and Organic Chemistry (67 citations). Chun-I Wang has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Chi C. Hua, Chao‐Ping Hsu, Vicente Gilsanz, M. Ines Boechat, Gil C. Claudio, Ignasius Joanito, Ricky B. Nellas, Nicholas E. Jackson, Ching H. Wu and Chang-Yi Wu. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation, Chemical Science, The Journal of Physical Chemistry A and Physical Chemistry Chemical Physics.
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.