Yongbin Wang
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Topics
- Quantum Computing Algorithms and Architecture (12 papers)Quantum Information and Cryptography (11 papers)Quantum Mechanics and Applications (10 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaIEEE Access
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yongbin Wang
98 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 725
- Atomic and Molecular Physics, and Optics 557
- Computer Vision and Pattern Recognition 162
- Information Systems 92
- Computer Networks and Communications 76
Countries citing papers authored by Yongbin Wang
This map shows the geographic impact of Yongbin 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 Yongbin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongbin Wang more than expected).
Fields of papers citing papers by Yongbin Wang
This network shows the impact of papers produced by Yongbin 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 Yongbin Wang. The network helps show where Yongbin Wang may publish in the future.
Co-authorship network of co-authors of Yongbin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yongbin Wang. A scholar is included among the top collaborators of Yongbin Wang 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 Yongbin Wang. Yongbin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | Strong Robust Digital Watermark Algorithm Based on Contourlet Singular Value Decomposition | 1 |
| 18 | 3 | |
| 19 | Design and implementation of an integrated office automation / geographic information system rural E-government system | 2 |
| 20 | Organization Model and System Architecture of Collaborative Design in Dynamic Alliance | 1 |
About Yongbin Wang
Yongbin Wang is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 121 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (11 papers) and Quantum Mechanics and Applications (10 papers). The work is most often cited by research in Artificial Intelligence (725 citations), Atomic and Molecular Physics, and Optics (557 citations) and Computer Vision and Pattern Recognition (162 citations). Yongbin Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wen Liu, Zhengtao Jiang, Wei Cui, Mingli Song, Gang Cao, Xiaomei Wang, Xianglin Huang, Huawei Tian, Ruicong Zhi and W. Fan. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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.