Ziwen Wang
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Polymers and Plastics top 10%
- Materials Chemistry
- Co-authors
- Suhas KumarR. Stanley WilliamsYoshio NishiA. L. D. KilcoyneD. J. VineNoraica DávilaXiaopeng HuangJohn Paul Strachan
- Topics
- Advanced Memory and Neural Computing (11 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Semiconductor materials and devices (6 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- NatureNature CommunicationsACS Nano
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ziwen Wang
39 papers receiving 955 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Electrical and Electronic Engineering 772
- Cellular and Molecular Neuroscience 265
- Cognitive Neuroscience 192
- Polymers and Plastics 162
- Materials Chemistry 137
Countries citing papers authored by Ziwen Wang
This map shows the geographic impact of Ziwen Wang'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 Ziwen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziwen Wang more than expected).
Fields of papers citing papers by Ziwen Wang
This network shows the impact of papers produced by Ziwen Wang. 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 Ziwen Wang. The network helps show where Ziwen Wang may publish in the future.
Co-authorship network of co-authors of Ziwen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ziwen Wang. A scholar is included among the top collaborators of Ziwen Wang 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 Ziwen Wang. Ziwen Wang 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | Third-order nanocircuit elements for neuromorphic engineeringbreakdown → | 268 |
| 19 | 9 | |
| 20 | 161 |
About Ziwen Wang
Ziwen Wang is a scholar working on Aging, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 965 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Semiconductor materials and devices (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (265 citations), Electrical and Electronic Engineering (772 citations) and Polymers and Plastics (162 citations). Ziwen Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Suhas Kumar, R. Stanley Williams, Yoshio Nishi, A. L. D. Kilcoyne, D. J. Vine, Noraica Dávila, Xiaopeng Huang, John Paul Strachan, Niru Kumari and Yakun Guo. Their work appears in journals such as Nature, Nature Communications and ACS Nano.
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.