Zhengxia Wang
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Weikai LiDinggang ShenXinyu MengHui MaLishan QiaoLimei ZhangLu LouXin Wang
- Topics
- Functional Brain Connectivity Studies (8 papers)Energy Load and Power Forecasting (6 papers)Advanced Fluorescence Microscopy Techniques (6 papers)
- Cited by
- Cognitive NeuroscienceEnergy Engineering and Power TechnologyStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaOptics ExpressPattern Recognition
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Zhengxia Wang
51 papers receiving 758 citations
Peers
Comparison fields: 5 of 106
- Electrical and Electronic Engineering 177
- Cognitive Neuroscience 176
- Artificial Intelligence 162
- Molecular Biology 124
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Zhengxia Wang
This map shows the geographic impact of Zhengxia 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 Zhengxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengxia Wang more than expected).
Fields of papers citing papers by Zhengxia Wang
This network shows the impact of papers produced by Zhengxia 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 Zhengxia Wang. The network helps show where Zhengxia Wang may publish in the future.
Co-authorship network of co-authors of Zhengxia Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengxia Wang. A scholar is included among the top collaborators of Zhengxia 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 Zhengxia Wang. Zhengxia 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 | 1 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 26 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 28 | |
| 19 | Simulating the thyristor valve synthetic test circuit with RTDS small step algorithm | 0 |
| 20 | 18 |
About Zhengxia Wang
Zhengxia Wang is a scholar working on Structural Biology, Biophysics and Energy Engineering and Power Technology, having authored 56 papers that have together received 793 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Energy Load and Power Forecasting (6 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). The work is most often cited by research in Cognitive Neuroscience (176 citations), Energy Engineering and Power Technology (20 citations) and Statistical and Nonlinear Physics (71 citations). Zhengxia Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Weikai Li, Dinggang Shen, Xinyu Meng, Hui Ma, Lishan Qiao, Limei Zhang, Lu Lou, Xin Wang, Xiaofeng Liao and Haixia Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, Optics Express and Pattern Recognition.
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.