Zhewen Shi
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics
- Topics
- Metaheuristic Optimization Algorithms Research (3 papers)Evolutionary Algorithms and Applications (2 papers)Machine Learning and ELM (2 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsStatistical and Nonlinear Physics
- Journals
- NeurocomputingJournal of Electrical Engineering and TechnologyIEEJ Transactions on Electrical and Electronic Engineering
- Partner nations
- ChinaUnited States
In The Last Decade
Zhewen Shi
9 papers receiving 195 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 122
- Computational Theory and Mathematics 50
- Control and Systems Engineering 48
- Electrical and Electronic Engineering 42
- Statistical and Nonlinear Physics 31
Countries citing papers authored by Zhewen Shi
This map shows the geographic impact of Zhewen Shi'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 Zhewen Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhewen Shi more than expected).
Fields of papers citing papers by Zhewen Shi
This network shows the impact of papers produced by Zhewen Shi. 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 Zhewen Shi. The network helps show where Zhewen Shi may publish in the future.
Co-authorship network of co-authors of Zhewen Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Zhewen Shi. A scholar is included among the top collaborators of Zhewen Shi 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 Zhewen Shi. Zhewen Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 24 | |
| 3 | 26 | |
| 4 | 29 | |
| 5 | Parallel Processing of the Probabilistic Transfer Matrix Based Circuits Reliability Calculation | 1 |
| 6 | Method for 3D Model Retrieval Using Circle Ray Decomposition of Projection Contour | 1 |
| 7 | 95 | |
| 8 | 15 | |
| 9 | RBF Neural Network for Threat Sequencing | 8 |
About Zhewen Shi
Zhewen Shi is a scholar working on Computer Graphics and Computer-Aided Design, Software and Artificial Intelligence, having authored 9 papers that have together received 205 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Evolutionary Algorithms and Applications (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Artificial Intelligence (122 citations), Computational Theory and Mathematics (50 citations) and Statistical and Nonlinear Physics (31 citations). Zhewen Shi has collaborated with scholars based in China and United States. Frequent co-authors include Zheng Qin, Lu Jiang, Guoqing An, Zheng Qin, Chunlin Zhao, Yu Liu and Jing Fang. Their work appears in journals such as Neurocomputing, Journal of Electrical Engineering and Technology and IEEJ Transactions on Electrical and Electronic Engineering.
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.