Zuowei Ping
Impact in
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
-
- Model Reduction and Neural Networks
Papers in
-
- Energy Load and Power Forecasting 3
- Power System Optimization and Stability 2
-
- Machine Fault Diagnosis Techniques 4
- Co-authors
- Zhong Li (1 shared paper)Shaohua Qiu (3 shared papers)Xianqiang Bao (1 shared paper)Xinghua Xu (3 shared papers)Tao Yang (2 shared papers)Xiuting Li (2 shared papers)Maolin Wang (2 shared papers)Jia Ding (1 shared paper)
- Journals
- Neurocomputing (3 papers)International Journal of Robust and Nonlinear Control (1 paper)European Journal of Operational Research (1 paper)Sensors (1 paper)Applied Energy (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Zuowei Ping
10 papers receiving 239 citations
Peers
Comparison fields: 5 of 57
- Control and Systems Engineering 113
- Statistical and Nonlinear Physics 27
- Industrial and Manufacturing Engineering 19
- Safety, Risk, Reliability and Quality 16
- Energy Engineering and Power Technology 5
Countries citing papers authored by Zuowei Ping
This map shows the geographic impact of Zuowei Ping'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 Zuowei Ping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuowei Ping more than expected).
Fields of papers citing papers by Zuowei Ping
This network shows the impact of papers produced by Zuowei Ping. 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 Zuowei Ping. The network helps show where Zuowei Ping may publish in the future.
Co-authors
The 25 scholars most cited alongside Zuowei Ping, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 92 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 39 | |
| 4 | 2025 | 17 | |
| 5 | 2023 | 12 | |
| 6 | 2024 | 11 | |
| 7 | 2020 | 11 | |
| 8 | 2018 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2021 | 2 | |
| 11 | 2022 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2022 | 0 |
About Zuowei Ping
Zuowei Ping is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering and Civil and Structural Engineering, having authored 13 papers that have together received 241 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (4 papers), Energy Load and Power Forecasting (3 papers), Blind Source Separation Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Model Reduction and Neural Networks (2 papers), Power System Optimization and Stability (2 papers), Speech and Audio Processing (2 papers) and Engineering Diagnostics and Reliability (1 paper). The work is most often cited by research in Control and Systems Engineering (113 citations), Statistical and Nonlinear Physics (27 citations), Industrial and Manufacturing Engineering (19 citations), Safety, Risk, Reliability and Quality (16 citations) and Energy Engineering and Power Technology (5 citations). Zuowei Ping has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhong Li, Shaohua Qiu, Xianqiang Bao, Xinghua Xu, Tao Yang, Xiuting Li, Maolin Wang, Jia Ding, Dongfei Fu and Yong Zhang. Their work appears in journals such as Neurocomputing, International Journal of Robust and Nonlinear Control, European Journal of Operational Research, Sensors and Applied Energy.
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.