Cheng-Xin Xue
- Electrical and Electronic Engineering top 2%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 5%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Meng‐Fan ChangKea‐Tiong TangRen-Shuo LiuChih-Cheng HsiehJe-Min HungWei-Hao ChenChuan-Jia JhangFu-Chun Chang
- Topics
- Advanced Memory and Neural Computing (24 papers)Ferroelectric and Negative Capacitance Devices (19 papers)Semiconductor materials and devices (11 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- IEEE Journal of Solid-State CircuitsNature ElectronicsIEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Cheng-Xin Xue
27 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 44
- Electrical and Electronic Engineering 1.5k
- Artificial Intelligence 284
- Cellular and Molecular Neuroscience 271
- Hardware and Architecture 184
- Computer Vision and Pattern Recognition 136
Countries citing papers authored by Cheng-Xin Xue
This map shows the geographic impact of Cheng-Xin Xue'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 Cheng-Xin Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Xin Xue more than expected).
Fields of papers citing papers by Cheng-Xin Xue
This network shows the impact of papers produced by Cheng-Xin Xue. 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 Cheng-Xin Xue. The network helps show where Cheng-Xin Xue may publish in the future.
Co-authorship network of co-authors of Cheng-Xin Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Xin Xue. A scholar is included among the top collaborators of Cheng-Xin Xue 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 Cheng-Xin Xue. Cheng-Xin Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 143 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 170 | |
| 8 | 86 | |
| 9 | 180 | |
| 10 | 10 | |
| 11 | 202 | |
| 12 | 31 | |
| 13 | 11 | |
| 14 | 72 | |
| 15 | 84 | |
| 16 | 17 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | 262 | |
| 20 | 5 |
About Cheng-Xin Xue
Cheng-Xin Xue is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (19 papers) and Semiconductor materials and devices (11 papers). The work is most often cited by research in Hardware and Architecture (184 citations), Electrical and Electronic Engineering (1.5k citations) and Cellular and Molecular Neuroscience (271 citations). Cheng-Xin Xue has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Meng‐Fan Chang, Kea‐Tiong Tang, Ren-Shuo Liu, Chih-Cheng Hsieh, Je-Min Hung, Wei-Hao Chen, Chuan-Jia Jhang, Fu-Chun Chang, Wei‐Yu Lin and Ya‐Chin King. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Nature Electronics and IEEE Transactions on Circuits and Systems I Regular Papers.
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.