Deng-Bao Wang
Impact in
- Artificial Intelligence top 10%
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
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- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
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- Machine Learning and Data Classification 9
- Text and Document Classification Technologies 9
- Anomaly Detection Techniques and Applications 3
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- Image Retrieval and Classification Techniques 5
- Advanced Image and Video Retrieval Techniques 3
- Co-authors
- Min-Ling Zhang (14 shared papers)Li Li (3 shared papers)Lei Feng (3 shared papers)Xiaobo Wang (1 shared paper)Xuan Wu (1 shared paper)Yao Hu (1 shared paper)Lujia Pan (1 shared paper)Jingyuan Wang (2 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)ACM Transactions on Knowledge Discovery from Data (1 paper)Machine Learning (1 paper)Neural Information Processing Systems (1 paper)
In The Last Decade
Deng-Bao Wang
15 papers receiving 232 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 194
- Computer Vision and Pattern Recognition 117
- Information Systems 42
- Computational Mathematics 1
- Media Technology 13
Countries citing papers authored by Deng-Bao Wang
This map shows the geographic impact of Deng-Bao 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 Deng-Bao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deng-Bao Wang more than expected).
Fields of papers citing papers by Deng-Bao Wang
This network shows the impact of papers produced by Deng-Bao 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 Deng-Bao Wang. The network helps show where Deng-Bao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Deng-Bao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2019 | 55 | |
| 3 | 2021 | 40 | |
| 4 | Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence | 2021 | 27 |
| 5 | 2021 | 14 | |
| 6 | 2017 | 11 | |
| 7 | 2021 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 0 |
About Deng-Bao Wang
Deng-Bao Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems and Computational Theory and Mathematics, having authored 16 papers that have together received 237 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (9 papers), Text and Document Classification Technologies (9 papers), Image Retrieval and Classification Techniques (5 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Rough Sets and Fuzzy Logic (2 papers), Web Data Mining and Analysis (1 paper) and Traffic Prediction and Management Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (194 citations), Computer Vision and Pattern Recognition (117 citations), Information Systems (42 citations), Computational Mathematics (1 citation) and Media Technology (13 citations). Deng-Bao Wang has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Min-Ling Zhang, Li Li, Lei Feng, Xiaobo Wang, Xuan Wu, Yao Hu, Lujia Pan, Jingyuan Wang, Xiaofei Xu and Shiping Chen. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Knowledge Discovery from Data, Machine Learning and Neural Information Processing 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.