Zhongshen Li
- Molecular Biology
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Topics
- Hydraulic and Pneumatic Systems (9 papers)Machine Learning in Bioinformatics (8 papers)Sensorless Control of Electric Motors (8 papers)
- Partner nations
- ChinaJapanSaudi Arabia
In The Last Decade
Zhongshen Li
43 papers receiving 693 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 272
- Control and Systems Engineering 148
- Mechanical Engineering 125
- Electrical and Electronic Engineering 107
- Statistical and Nonlinear Physics 86
Countries citing papers authored by Zhongshen Li
This map shows the geographic impact of Zhongshen Li'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 Zhongshen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongshen Li more than expected).
Fields of papers citing papers by Zhongshen Li
This network shows the impact of papers produced by Zhongshen Li. 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 Zhongshen Li. The network helps show where Zhongshen Li may publish in the future.
Co-authorship network of co-authors of Zhongshen Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongshen Li. A scholar is included among the top collaborators of Zhongshen Li 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 Zhongshen Li. Zhongshen Li 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 | 18 | |
| 4 | 55 | |
| 5 | 15 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 37 | |
| 9 | 2 | |
| 10 | 45 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | An Image Granule Labeling Model and Its Implementation | 1 |
| 14 | Construction of Improved Fuzzy Neural Network Model | 1 |
| 15 | The design and simulation of fuzzy PID control system based on decreasing delay-time controller | 2 |
| 16 | The optimal fuzzy PID control for large time delay system with decreasing time delay controller | 1 |
| 17 | A quick design method provided for the high order Butterworth low pass electrical filter | 1 |
| 18 | Research on Multi-objective Location Routing Problem Based on Fuzzy Optimization | 2 |
| 19 | Design of Robust H_∞ Controller for Uncertain Systems with Time-varying Delay——LMI Approach | 2 |
| 20 | The Design of Butterworth Lowpass Filter Based on MATLAB | 8 |
About Zhongshen Li
Zhongshen Li is a scholar working on Control and Systems Engineering, Modeling and Simulation and Automotive Engineering, having authored 48 papers that have together received 703 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (9 papers), Machine Learning in Bioinformatics (8 papers) and Sensorless Control of Electric Motors (8 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Microbiology (53 citations) and Statistics, Probability and Uncertainty (55 citations). Zhongshen Li has collaborated with scholars based in China, Japan and Saudi Arabia. Frequent co-authors include Leyi Wei, Lincong Chen, Tianliang Lin, Weiqiu Zhu, Junru Jin, Haoling Ren, Qihuai Chen, Haibin Chen, Yi Jiang and Weihua Wang. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Bioinformatics and Genome biology.
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.