Chih-Chieh Hsu
- Electrical and Electronic Engineering top 5%
- Polymers and Plastics top 10%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence
- Co-authors
- Yuting ChenAlice C. ParkerMichael DevetsikiotisChien-Hsun WuJaya JoshiHeping ChenYu‐Ting ChenUmakanta Nanda
- Topics
- Advanced Memory and Neural Computing (44 papers)Semiconductor materials and devices (21 papers)Transition Metal Oxide Nanomaterials (19 papers)
- Cited by
- Polymers and PlasticsElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Chih-Chieh Hsu
78 papers receiving 825 citations
Peers
Comparison fields: 5 of 79
- Electrical and Electronic Engineering 689
- Polymers and Plastics 217
- Materials Chemistry 214
- Cellular and Molecular Neuroscience 187
- Artificial Intelligence 87
Countries citing papers authored by Chih-Chieh Hsu
This map shows the geographic impact of Chih-Chieh Hsu'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 Chih-Chieh Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Chieh Hsu more than expected).
Fields of papers citing papers by Chih-Chieh Hsu
This network shows the impact of papers produced by Chih-Chieh Hsu. 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 Chih-Chieh Hsu. The network helps show where Chih-Chieh Hsu may publish in the future.
Co-authorship network of co-authors of Chih-Chieh Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chih-Chieh Hsu. A scholar is included among the top collaborators of Chih-Chieh Hsu 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 Chih-Chieh Hsu. Chih-Chieh Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 17 | |
| 14 | 44 | |
| 15 | 62 | |
| 16 | 6 | |
| 17 | 24 | |
| 18 | 24 | |
| 19 | 2 | |
| 20 | 3 |
About Chih-Chieh Hsu
Chih-Chieh Hsu is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 81 papers that have together received 862 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (44 papers), Semiconductor materials and devices (21 papers) and Transition Metal Oxide Nanomaterials (19 papers). The work is most often cited by research in Polymers and Plastics (217 citations), Electrical and Electronic Engineering (689 citations) and Cellular and Molecular Neuroscience (187 citations). Chih-Chieh Hsu has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Yuting Chen, Alice C. Parker, Michael Devetsikiotis, Chien-Hsun Wu, Jaya Joshi, Heping Chen, Yu‐Ting Chen, Umakanta Nanda, Mango C.-T. Chao and Mojtaba Joodaki. Their work appears in journals such as Physical Review A, Journal of Physics D Applied Physics and Journal of Alloys and Compounds.
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.