Zhixin Wu
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Topics
- Advanced Memory and Neural Computing (10 papers)Electric Vehicles and Infrastructure (6 papers)Photoreceptor and optogenetics research (4 papers)
In The Last Decade
Zhixin Wu
45 papers receiving 797 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Electrical and Electronic Engineering 544
- Automotive Engineering 280
- Renewable Energy, Sustainability and the Environment 170
- Control and Systems Engineering 94
- Mechanical Engineering 90
Countries citing papers authored by Zhixin Wu
This map shows the geographic impact of Zhixin 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 Zhixin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhixin Wu more than expected).
Fields of papers citing papers by Zhixin Wu
This network shows the impact of papers produced by Zhixin 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 Zhixin Wu. The network helps show where Zhixin Wu may publish in the future.
Co-authorship network of co-authors of Zhixin Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhixin Wu. A scholar is included among the top collaborators of Zhixin 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 Zhixin Wu. Zhixin 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 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | Effect of various design configurations and operating conditions for optimization of a wind/solar/hydrogen/fuel cell hybrid microgrid system by a bio-inspired algorithmbreakdown → | 87 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 47 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Parameter design for power train and simulation of dynamic performance of electrical vehicles | 3 |
About Zhixin Wu
Zhixin Wu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 822 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Electric Vehicles and Infrastructure (6 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (83 citations), Automotive Engineering (280 citations) and Renewable Energy, Sustainability and the Environment (170 citations). Zhixin Wu has collaborated with scholars based in China, Iran and India. Frequent co-authors include Jihu Zheng, Xin Sun, Xue Wang, Michael Wang, Noradin Ghadimi, Akbar Maleki, Yunhe Zou, Xuetao Li, Steven Przesmitzki and Zhenhong Lin. Their work appears in journals such as Nature Communications, Renewable and Sustainable Energy Reviews and NeuroImage.
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.