Jui‐Yuan Chen
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Co-authors
- Wen‐Wei WuChun‐Wei HuangChung‐Hua ChiuYu‐Ting HuangPing‐Hung YehChia‐Fu ChangTing‐Yi LinTing‐Kai Huang
- Topics
- Advanced Memory and Neural Computing (12 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Transition Metal Oxide Nanomaterials (6 papers)
- Cited by
- Polymers and PlasticsCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaNano Letters
In The Last Decade
Jui‐Yuan Chen
14 papers receiving 544 citations
Peers
Comparison fields: 5 of 29
- Electrical and Electronic Engineering 495
- Cellular and Molecular Neuroscience 190
- Polymers and Plastics 174
- Materials Chemistry 137
- Electronic, Optical and Magnetic Materials 27
Countries citing papers authored by Jui‐Yuan Chen
This map shows the geographic impact of Jui‐Yuan 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 Jui‐Yuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui‐Yuan Chen more than expected).
Fields of papers citing papers by Jui‐Yuan Chen
This network shows the impact of papers produced by Jui‐Yuan 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 Jui‐Yuan Chen. The network helps show where Jui‐Yuan Chen may publish in the future.
Co-authorship network of co-authors of Jui‐Yuan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jui‐Yuan Chen. A scholar is included among the top collaborators of Jui‐Yuan Chen 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 Jui‐Yuan Chen. Jui‐Yuan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 25 | |
| 8 | 10 | |
| 9 | 33 | |
| 10 | 67 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 100 | |
| 14 | 66 | |
| 15 | 196 |
About Jui‐Yuan Chen
Jui‐Yuan Chen is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Materials Chemistry, having authored 15 papers that have together received 553 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Transition Metal Oxide Nanomaterials (6 papers). The work is most often cited by research in Polymers and Plastics (174 citations), Cellular and Molecular Neuroscience (190 citations) and Electrical and Electronic Engineering (495 citations). Jui‐Yuan Chen has collaborated with scholars based in Taiwan, Japan and Hong Kong. Frequent co-authors include Wen‐Wei Wu, Chun‐Wei Huang, Chung‐Hua Chiu, Yu‐Ting Huang, Ping‐Hung Yeh, Chia‐Fu Chang, Ting‐Yi Lin, Ting‐Kai Huang, Ying‐Hao Chu and Yi‐Tang Tseng. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano 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.