Peifeng Niu
- Artificial Intelligence top 2%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Guoqiang LiWeiping ZhangYunpeng MaXia LiJianping LiuLifei WangHuaiqin WuXinxin Zhang
- Topics
- Advanced Algorithms and Applications (24 papers)Machine Learning and ELM (22 papers)Neural Networks and Applications (22 papers)
In The Last Decade
Peifeng Niu
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 733
- Control and Systems Engineering 345
- Electrical and Electronic Engineering 316
- Computer Networks and Communications 246
- Computational Theory and Mathematics 180
Countries citing papers authored by Peifeng Niu
This map shows the geographic impact of Peifeng Niu'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 Peifeng Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peifeng Niu more than expected).
Fields of papers citing papers by Peifeng Niu
This network shows the impact of papers produced by Peifeng Niu. 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 Peifeng Niu. The network helps show where Peifeng Niu may publish in the future.
Co-authorship network of co-authors of Peifeng Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Peifeng Niu. A scholar is included among the top collaborators of Peifeng Niu 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 Peifeng Niu. Peifeng Niu 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 | 22 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 92 | |
| 6 | 15 | |
| 7 | 32 | |
| 8 | 13 | |
| 9 | 11 | |
| 10 | 28 | |
| 11 | Improved gravitation search algorithm and its application to function optimization | 1 |
| 12 | 53 | |
| 13 | 24 | |
| 14 | 67 | |
| 15 | 3 | |
| 16 | Application of double-deck fuzzy control to bed temperature control system of circulated fluidized-bed | 3 |
| 17 | Present situation and development of superheated steam temperature control in steam drum boiler of thermal power plant | 1 |
| 18 | A Steam Pressure Adaptive Control System for Circulating Fluidized Bed Boilers | 1 |
| 19 | Load Modeling of Thermal Power Unit with Wavelet Neural Networks | 1 |
| 20 | The Steam Pressure Self-Adaptive Control System of a Monoblock with Home-Made 75t/h CFBB | 0 |
About Peifeng Niu
Peifeng Niu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Modeling and Simulation, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Algorithms and Applications (24 papers), Machine Learning and ELM (22 papers) and Neural Networks and Applications (22 papers). The work is most often cited by research in Artificial Intelligence (733 citations), Control and Systems Engineering (345 citations) and Computational Theory and Mathematics (180 citations). Peifeng Niu has collaborated with scholars based in China, Italy and Germany. Frequent co-authors include Guoqiang Li, Weiping Zhang, Yunpeng Ma, Xia Li, Jianping Liu, Lifei Wang, Huaiqin Wu, Xinxin Zhang, Yu Wang and Pengfei Li. Their work appears in journals such as Journal of Materials Chemistry A, IEEE Access and Neurocomputing.
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.