QingE Wu
Impact in
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- Image Enhancement Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
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- Rough Sets and Fuzzy Logic
Papers in
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- Advanced Neural Network Applications 8
- Image Retrieval and Classification Techniques 7
- Image and Object Detection Techniques 5
- Video Surveillance and Tracking Methods 5
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- Machine Fault Diagnosis Techniques 5
- Co-authors
- Dan Nathan-Roberts (1 shared paper)Xiaoliang Qian (11 shared papers)Jinhua Liu (2 shared papers)Hu Chen (8 shared papers)CanLin Li (2 shared papers)Zhenyu Han (10 shared papers)Yingbo Lu (9 shared papers)Liam Maguire (1 shared paper)
- Journals
- Applied Sciences (4 papers)Scientific Reports (3 papers)Electronics (3 papers)Applied Intelligence (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
QingE Wu
69 papers receiving 441 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 116
- Computational Theory and Mathematics 55
- Control and Systems Engineering 72
- Industrial and Manufacturing Engineering 28
- Artificial Intelligence 61
Countries citing papers authored by QingE Wu
This map shows the geographic impact of QingE 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 QingE Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites QingE Wu more than expected).
Fields of papers citing papers by QingE Wu
This network shows the impact of papers produced by QingE 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 QingE Wu. The network helps show where QingE Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside QingE Wu, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 44 | |
| 2 | 2016 | 35 | |
| 3 | A Method for Supervised Training of Spiking Neural Networks | 2003 | 30 |
| 4 | 2020 | 23 | |
| 5 | 2022 | 22 | |
| 6 | 2018 | 20 | |
| 7 | 2018 | 20 | |
| 8 | 2019 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2010 | 13 | |
| 13 | 2017 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2019 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2008 | 7 | |
| 20 | 2013 | 6 |
About QingE Wu
QingE Wu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 81 papers that have together received 454 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (9 papers), Advanced Neural Network Applications (8 papers), Image Retrieval and Classification Techniques (7 papers), Industrial Vision Systems and Defect Detection (6 papers), Machine Fault Diagnosis Techniques (5 papers), Image and Object Detection Techniques (5 papers), Video Surveillance and Tracking Methods (5 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Computational Theory and Mathematics (55 citations), Control and Systems Engineering (72 citations), Industrial and Manufacturing Engineering (28 citations) and Artificial Intelligence (61 citations). QingE Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Dan Nathan-Roberts, Xiaoliang Qian, Jinhua Liu, Hu Chen, CanLin Li, Zhenyu Han, Yingbo Lu, Liam Maguire, Ammar Belatreche and T.M. McGinnity. Their work appears in journals such as Applied Sciences, Scientific Reports, Electronics, Applied Intelligence and IEEE Access.
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.