Juejian Wu
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Artificial Intelligence
- Materials Chemistry
- Industrial and Manufacturing Engineering top 10%
- Topics
- Advanced Memory and Neural Computing (13 papers)Semiconductor materials and devices (12 papers)Ferroelectric and Negative Capacitance Devices (12 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Electron DevicesIEEE Electron Device LettersIEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Juejian Wu
15 papers receiving 324 citations
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 266
- Hardware and Architecture 92
- Artificial Intelligence 63
- Materials Chemistry 32
- Industrial and Manufacturing Engineering 29
Countries citing papers authored by Juejian Wu
This map shows the geographic impact of Juejian Wu'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 Juejian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juejian Wu more than expected).
Fields of papers citing papers by Juejian Wu
This network shows the impact of papers produced by Juejian Wu. 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 Juejian Wu. The network helps show where Juejian Wu may publish in the future.
Co-authorship network of co-authors of Juejian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Juejian Wu. A scholar is included among the top collaborators of Juejian Wu 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 Juejian Wu. Juejian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 24 | |
| 8 | 180 | |
| 9 | 6 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 37 | |
| 13 | 5 | |
| 14 | 29 | |
| 15 | 9 | |
| 16 | 2 |
About Juejian Wu
Juejian Wu is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Semiconductor materials and devices (12 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). The work is most often cited by research in Hardware and Architecture (92 citations), Electrical and Electronic Engineering (266 citations) and Industrial and Manufacturing Engineering (29 citations). Juejian Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huazhong Yang, Xueqing Li, Mingyuan Ma, Guyue Huang, Zhaoyang Shen, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu and Yifan He. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Electron Device Letters 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.