Bing Wei
Impact in
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- Industrial Vision Systems and Defect Detection
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Advanced Neural Network Applications 6
- Visual Attention and Saliency Detection 4
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- Domain Adaptation and Few-Shot Learning 5
- Anomaly Detection Techniques and Applications 5
- Co-authors
- Kuangrong Hao (32 shared papers)Xue‐song Tang (17 shared papers)Lei Gao (13 shared papers)Yudi Zhao (3 shared papers)Haibo He (2 shared papers)Xiaopei Wu (5 shared papers)Yongsheng Ding (1 shared paper)Biao Huang (1 shared paper)
- Journals
- Neural Networks (4 papers)Neurocomputing (4 papers)Textile Research Journal (3 papers)Information Sciences (2 papers)IEEE Transactions on Cognitive and Developmental Systems (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bing Wei
43 papers receiving 528 citations
Peers
Comparison fields: 5 of 85
- Industrial and Manufacturing Engineering 207
- Media Technology 75
- Computer Vision and Pattern Recognition 157
- Artificial Intelligence 114
- Computational Mathematics 2
Countries citing papers authored by Bing Wei
This map shows the geographic impact of Bing Wei'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 Bing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Wei more than expected).
Fields of papers citing papers by Bing Wei
This network shows the impact of papers produced by Bing Wei. 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 Bing Wei. The network helps show where Bing Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Wei, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2018 | 65 | |
| 3 | 2017 | 39 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 28 | |
| 7 | 2022 | 28 | |
| 8 | 2020 | 26 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 6 |
About Bing Wei
Bing Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Media Technology and Biomedical Engineering, having authored 47 papers that have together received 540 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (15 papers), Image Processing Techniques and Applications (9 papers), Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Anomaly Detection Techniques and Applications (5 papers), Fault Detection and Control Systems (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Visual Attention and Saliency Detection (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (207 citations), Media Technology (75 citations), Computer Vision and Pattern Recognition (157 citations), Artificial Intelligence (114 citations) and Computational Mathematics (2 citations). Bing Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Kuangrong Hao, Xue‐song Tang, Lei Gao, Yudi Zhao, Haibo He, Xiaopei Wu, Yongsheng Ding, Biao Huang, Fan Guo and Chao Zhang. Their work appears in journals such as Neural Networks, Neurocomputing, Textile Research Journal, Information Sciences and IEEE Transactions on Cognitive and Developmental Systems.
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.