Pu Wang
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
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- ECG Monitoring and Analysis
Papers in
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- Fault Detection and Control Systems 12
- Advanced Algorithms and Applications 6
- Industrial Technology and Control Systems 5
- Machine Fault Diagnosis Techniques 4
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- Speech Recognition and Synthesis 6
- Natural Language Processing Techniques 5
- Co-authors
- Ruqiang Yan (5 shared papers)Siyu Shao (2 shared papers)Borui Hou (2 shared papers)Jianyong Yang (1 shared paper)Xuejin Gao (13 shared papers)Hugo Van hamme (6 shared papers)Aijun Yan (3 shared papers)Liying Fang (5 shared papers)
In The Last Decade
Pu Wang
39 papers receiving 874 citations
Pu Wang's Hit Papers
Peers
Comparison fields: 5 of 103
- Control and Systems Engineering 379
- Cardiology and Cardiovascular Medicine 211
- Cognitive Neuroscience 169
- Artificial Intelligence 202
- Industrial and Manufacturing Engineering 61
Countries citing papers authored by Pu Wang
This map shows the geographic impact of Pu 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 Pu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Wang more than expected).
Fields of papers citing papers by Pu Wang
This network shows the impact of papers produced by Pu 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 Pu Wang. The network helps show where Pu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Generative adversarial networks for data augmentation in machine fault diagnosis Hit paper breakdown → | 2019 | 418 |
| 2 | 2019 | 214 | |
| 3 | 2019 | 60 | |
| 4 | 2022 | 31 | |
| 5 | 2015 | 19 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2009 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2008 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2009 | 6 | |
| 17 | 2017 | 4 | |
| 18 | 2011 | 4 | |
| 19 | 2020 | 4 | |
| 20 | A Simplified Latent Semantic Indexing Approach for Multi-Linguistic Information Retrieval | 2003 | 3 |
About Pu Wang
Pu Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Analytical Chemistry and Information Systems, having authored 43 papers that have together received 906 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (12 papers), Advanced Algorithms and Applications (6 papers), Speech Recognition and Synthesis (6 papers), Mineral Processing and Grinding (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Natural Language Processing Techniques (5 papers), Industrial Technology and Control Systems (5 papers) and Machine Fault Diagnosis Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (379 citations), Cardiology and Cardiovascular Medicine (211 citations), Cognitive Neuroscience (169 citations), Artificial Intelligence (202 citations) and Industrial and Manufacturing Engineering (61 citations). Pu Wang has collaborated with scholars based in China, Belgium and Norway. Frequent co-authors include Ruqiang Yan, Siyu Shao, Borui Hou, Jianyong Yang, Xuejin Gao, Hugo Van hamme, Aijun Yan, Liying Fang, Honggui Han and Huayun Han. Their work appears in journals such as IEEE Access, Computers in Industry, Neurocomputing, Journal of Chemometrics and The Canadian Journal of Chemical 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.