Daixin Wang
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 2
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks 3
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- Advanced Image and Video Retrieval Techniques 3
- Multimodal Machine Learning Applications 3
- Image Retrieval and Classification Techniques 2
- Information Systems top 2%
- Recommender Systems and Techniques 2
- Spam and Phishing Detection 1
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- Energy Harvesting in Wireless Networks 1
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Annals of Human Biology (1 paper)IEEE Transactions on Multimedia (1 paper)2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) (1 paper)
- Partner nations
- China
In The Last Decade
Daixin Wang
9 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Statistical and Nonlinear Physics 922
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 374
- Information Systems 391
- Computational Mathematics 8
Countries citing papers authored by Daixin Wang
This map shows the geographic impact of Daixin 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 Daixin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daixin Wang more than expected).
Fields of papers citing papers by Daixin Wang
This network shows the impact of papers produced by Daixin 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 Daixin Wang. The network helps show where Daixin Wang may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Daixin 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 | 2022 | 1 | |
| 2 | 2021 | 17 | |
| 3 | 2021 | 34 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 78 | |
| 7 | 2018 | 16 | |
| 8 | Structural Deep Network Embeddingbreakdown → | 2016 | 1662 |
| 9 | Deep multimodal hashing with orthogonal regularization | 2015 | 74 |
| 10 | 2015 | 75 |
About Daixin Wang
Daixin Wang is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Graph Neural Networks (3 papers), Image Retrieval and Classification Techniques (2 papers), Recommender Systems and Techniques (2 papers), Complex Network Analysis Techniques (2 papers), Energy Harvesting in Wireless Networks (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (922 citations), Artificial Intelligence (1.5k citations) and Computer Vision and Pattern Recognition (374 citations). Daixin Wang has collaborated with scholars based in China. Frequent co-authors include Peng Cui, Wenwu Zhu, Mingdong Ou, Dingyuan Zhu, Qi Yuan, Zhiqiang Zhang, Ke Tu, Jun Zhou, Jun Zhou and Fuzhen Zhuang. Their work appears in journals such as Annals of Human Biology, IEEE Transactions on Multimedia, 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC), International Conference on Artificial Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.
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.