Wei‐Cheng Chen
- Polymers and Plastics top 2%
- Conducting polymers and applications 18
- Bioengineering top 2%
- Analytical Chemistry and Sensors 10
- Acoustics and Ultrasonics top 10%
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- Perovskite Materials and Applications 19
- Gas Sensing Nanomaterials and Sensors 12
- Advanced Memory and Neural Computing 11
- Biological Psychiatry top 10%
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- Advanced Sensor and Energy Harvesting Materials 16
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- Silicone and Siloxane Chemistry 15
- ZnO doping and properties 10
Wei‐Cheng Chen
144 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 155
- Polymers and Plastics 705
- Bioengineering 209
- Acoustics and Ultrasonics 24
- Electrical and Electronic Engineering 1.0k
- Biological Psychiatry 44
Countries citing papers authored by Wei‐Cheng Chen
This map shows the geographic impact of Wei‐Cheng Chen'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 Wei‐Cheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Cheng Chen more than expected).
Fields of papers citing papers by Wei‐Cheng Chen
This network shows the impact of papers produced by Wei‐Cheng Chen. 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 Wei‐Cheng Chen. The network helps show where Wei‐Cheng Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei‐Cheng Chen, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 25 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 21 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 20 | |
| 16 | 2020 | 25 | |
| 17 | 2020 | 37 | |
| 18 | 2020 | 49 | |
| 19 | PSAC: Context-based Purchase Prediction Framework via User's Sequential Actions. | 2019 | 1 |
| 20 | 2007 | 2 |
About Wei‐Cheng Chen
Wei‐Cheng Chen is a scholar working on Polymers and Plastics, Acoustics and Ultrasonics, Bioengineering, Medical Laboratory Technology and Electrical and Electronic Engineering, having authored 157 papers that have together received 2.6k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (19 papers), Conducting polymers and applications (18 papers), Advanced Sensor and Energy Harvesting Materials (16 papers), Silicone and Siloxane Chemistry (15 papers), Gas Sensing Nanomaterials and Sensors (12 papers), Advanced Memory and Neural Computing (11 papers), Analytical Chemistry and Sensors (10 papers) and ZnO doping and properties (10 papers). The work is most often cited by research in Polymers and Plastics (705 citations), Bioengineering (209 citations), Acoustics and Ultrasonics (24 citations), Electrical and Electronic Engineering (1.0k citations) and Biological Psychiatry (44 citations). Wei‐Cheng Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chi‐Ching Kuo, Shiao‐Wei Kuo, Fang‐Cheng Liang, Wen-Chau Liu, Chia‐Jung Cho, Ching-Hong Chang, I-Ping Liu, Huey-Ing Chen, Jean‐Sebastien Benas and Loganathan Veeramuthu. Their work appears in journals such as Chemical Engineering Journal, IEEE Transactions on Electron Devices, Polymers, Advanced Optical Materials and Sensors and Actuators B Chemical.
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.