Qianhui Wu
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Mechanical Engineering
- Safety, Risk, Reliability and Quality top 5%
- Computer Vision and Pattern Recognition
- Topics
- Natural Language Processing Techniques (5 papers)Topic Modeling (5 papers)Fault Detection and Control Systems (3 papers)
- Cited by
- Medical Laboratory TechnologyControl and Systems EngineeringSafety, Risk, Reliability and Quality
- Journals
- Journal of Intelligent ManufacturingIEEE/ACM Transactions on Audio Speech and Language ProcessingJournal of Computing and Information Science in Engineering
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Qianhui Wu
9 papers receiving 504 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 245
- Artificial Intelligence 203
- Mechanical Engineering 95
- Safety, Risk, Reliability and Quality 72
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Qianhui Wu
This map shows the geographic impact of Qianhui Wu'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 Qianhui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianhui Wu more than expected).
Fields of papers citing papers by Qianhui Wu
This network shows the impact of papers produced by Qianhui Wu. 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 Qianhui Wu. The network helps show where Qianhui Wu may publish in the future.
Co-authorship network of co-authors of Qianhui Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Qianhui Wu. A scholar is included among the top collaborators of Qianhui Wu 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 Qianhui Wu. Qianhui Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unitbreakdown → | 197 |
| 4 | 51 | |
| 5 | 34 | |
| 6 | 41 | |
| 7 | 54 | |
| 8 | 109 | |
| 9 | Tsinghua Hephaestus 2014 AdultSize Team Description | 1 |
About Qianhui Wu
Qianhui Wu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 9 papers that have together received 513 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Medical Laboratory Technology (29 citations), Control and Systems Engineering (245 citations) and Safety, Risk, Reliability and Quality (72 citations). Qianhui Wu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Biqing Huang, Xiu Li, Mo Yu, Keqin Ding, Börje F. Karlsson, Zijia Lin, Jian–Guang Lou, Xiu Li, Xin Xu and Chin-Yew Lin. Their work appears in journals such as Journal of Intelligent Manufacturing, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal of Computing and Information Science in 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.