Yun-Fang Hou
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Biomedical Engineering
- Cellular and Molecular Neuroscience
- Polymers and Plastics
- Co-authors
- Min‐Cheng ChenFu-Liang YangKai‐Shin LiChun‐Chi ChenChang-Hsien LinWen‐Kuan YehChenming HuM. H. Lee
- Topics
- Semiconductor materials and devices (6 papers)Ferroelectric and Negative Capacitance Devices (5 papers)Advanced Memory and Neural Computing (3 papers)
- Cited by
- Electrical and Electronic EngineeringMaterials ChemistryCellular and Molecular Neuroscience
- Journals
- Nano LettersInternational Journal of NanotechnologyKing Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)
- Partner nations
- TaiwanUnited StatesSaudi Arabia
In The Last Decade
Yun-Fang Hou
8 papers receiving 346 citations
Peers
Comparison fields: 5 of 21
- Electrical and Electronic Engineering 326
- Materials Chemistry 173
- Biomedical Engineering 27
- Cellular and Molecular Neuroscience 13
- Polymers and Plastics 7
Countries citing papers authored by Yun-Fang Hou
This map shows the geographic impact of Yun-Fang Hou'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 Yun-Fang Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun-Fang Hou more than expected).
Fields of papers citing papers by Yun-Fang Hou
This network shows the impact of papers produced by Yun-Fang Hou. 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 Yun-Fang Hou. The network helps show where Yun-Fang Hou may publish in the future.
Co-authorship network of co-authors of Yun-Fang Hou
This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Fang Hou. A scholar is included among the top collaborators of Yun-Fang Hou 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 Yun-Fang Hou. Yun-Fang Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 12 | |
| 5 | 252 | |
| 6 | 19 | |
| 7 | 34 | |
| 8 | 2 | |
| 9 | 1 |
About Yun-Fang Hou
Yun-Fang Hou is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Condensed Matter Physics, having authored 9 papers that have together received 358 indexed citations. Recurring topics across this work include Semiconductor materials and devices (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (326 citations), Materials Chemistry (173 citations) and Cellular and Molecular Neuroscience (13 citations). Yun-Fang Hou has collaborated with scholars based in Taiwan, United States and Saudi Arabia. Frequent co-authors include Min‐Cheng Chen, Fu-Liang Yang, Kai‐Shin Li, Chun‐Chi Chen, Chang-Hsien Lin, Wen‐Kuan Yeh, Chenming Hu, M. H. Lee, Ming-Han Liao and Sayeef Salahuddin. Their work appears in journals such as Nano Letters, International Journal of Nanotechnology and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).
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.