Wu Ai
Impact in
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Spectroscopy Techniques in Biomedical and Chemical Research 8
-
- Iterative Learning Control Systems 12
- Journals
- The International Journal of Advanced Manufacturing Technology (5 papers)Information Sciences (3 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (3 papers)IEEE Transactions on Industrial Informatics (2 papers)IET Electric Power Applications (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wu Ai
65 papers receiving 791 citations
Peers
Comparison fields: 5 of 99
- Biophysics 80
- Analytical Chemistry 131
- Control and Systems Engineering 242
- Industrial and Manufacturing Engineering 64
- Management Information Systems 57
Countries citing papers authored by Wu Ai
This map shows the geographic impact of Wu Ai'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 Wu Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Ai more than expected).
Fields of papers citing papers by Wu Ai
This network shows the impact of papers produced by Wu Ai. 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 Wu Ai. The network helps show where Wu Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Ai, 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 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 65 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 48 | |
| 13 | 2018 | 26 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 7 | |
| 16 | 2013 | 31 | |
| 17 | 2013 | 9 | |
| 18 | A hybrid control method of sliding mode and PID controllers based on adaptive controlled switching portion | 2010 | 5 |
| 19 | A Security Scheme for Power Dispatching Data Network Based on VPN | 2007 | 3 |
| 20 | 2006 | 30 |
About Wu Ai
Wu Ai is a scholar working on Biophysics, Control and Systems Engineering, Analytical Chemistry, Computer Networks and Communications and Artificial Intelligence, having authored 71 papers that have together received 817 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (12 papers), Machine Learning and ELM (11 papers), Neural Networks and Applications (11 papers), Spectroscopy and Chemometric Analyses (9 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Distributed Control Multi-Agent Systems (8 papers), Sensorless Control of Electric Motors (8 papers) and Neural Networks Stability and Synchronization (7 papers). The work is most often cited by research in Biophysics (80 citations), Analytical Chemistry (131 citations), Control and Systems Engineering (242 citations), Industrial and Manufacturing Engineering (64 citations) and Management Information Systems (57 citations). Wu Ai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huazhou Chen, Zude Zhou, Quanxi Feng, Youping Chen, Bing Chen, Ken Cai, Weisheng Chen, Ke Chen, Yi Liu and Jin Xie. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Information Sciences, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, IEEE Transactions on Industrial Informatics and IET Electric Power Applications.
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.