Zhiwei Yang
- Artificial Intelligence top 5%
- Sociology and Political Science
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Co-authors
- Jing MaYi ChangHechang ChenZhaoyang WuPeng WuXiaotao LiuJiawei ZhangJing Liu
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (7 papers)Misinformation and Its Impacts (5 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zhiwei Yang
36 papers receiving 328 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 226
- Sociology and Political Science 76
- Computer Networks and Communications 63
- Computer Vision and Pattern Recognition 60
- Information Systems 40
Countries citing papers authored by Zhiwei Yang
This map shows the geographic impact of Zhiwei Yang'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 Zhiwei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiwei Yang more than expected).
Fields of papers citing papers by Zhiwei Yang
This network shows the impact of papers produced by Zhiwei Yang. 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 Zhiwei Yang. The network helps show where Zhiwei Yang may publish in the future.
Co-authorship network of co-authors of Zhiwei Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhiwei Yang. A scholar is included among the top collaborators of Zhiwei Yang 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 Zhiwei Yang. Zhiwei Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 37 | |
| 16 | 3 | |
| 17 | 31 | |
| 18 | 7 | |
| 19 | Modified MUSIC approach with weighted pseudo-noise subspace projection | 0 |
| 20 | Image Auto-coregistration and InSAR Interferometric Phase Estimation Based on Optimum Data Vector | 0 |
About Zhiwei Yang
Zhiwei Yang is a scholar working on Computational Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 337 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (7 papers) and Misinformation and Its Impacts (5 papers). The work is most often cited by research in Artificial Intelligence (226 citations), Computational Mathematics (2 citations) and Computer Vision and Pattern Recognition (60 citations). Zhiwei Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jing Ma, Yi Chang, Hechang Chen, Zhaoyang Wu, Peng Wu, Xiaotao Liu, Jiawei Zhang, Jing Liu, Liangliang Chen and Gang Chen. Their work appears in journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Physical Review A.
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.