Miaoyan Wang
- Paleontology top 10%
- Molecular Biology
- Environmental Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging
- Nature and Landscape Conservation
- Topics
- Paleontology and Evolutionary Biology (17 papers)Ichthyology and Marine Biology (12 papers)Evolution and Paleontology Studies (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationEnvironmental Science & Technology
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Miaoyan Wang
39 papers receiving 406 citations
Peers
Comparison fields: 5 of 106
- Paleontology 82
- Molecular Biology 69
- Environmental Chemistry 53
- Radiology, Nuclear Medicine and Imaging 50
- Nature and Landscape Conservation 44
Countries citing papers authored by Miaoyan Wang
This map shows the geographic impact of Miaoyan 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 Miaoyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miaoyan Wang more than expected).
Fields of papers citing papers by Miaoyan Wang
This network shows the impact of papers produced by Miaoyan 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 Miaoyan Wang. The network helps show where Miaoyan Wang may publish in the future.
Co-authorship network of co-authors of Miaoyan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Miaoyan Wang. A scholar is included among the top collaborators of Miaoyan 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 Miaoyan Wang. Miaoyan 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 | 1 | |
| 2 | 0 | |
| 3 | 36 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | Multiway clustering via tensor block models | 3 |
| 13 | 20 | |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD) | 2 |
| 18 | Orthogonal Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD). | 1 |
| 19 | 11 | |
| 20 | 47 |
About Miaoyan Wang
Miaoyan Wang is a scholar working on Computational Mathematics, Paleontology and Nature and Landscape Conservation, having authored 42 papers that have together received 415 indexed citations. Recurring topics across this work include Paleontology and Evolutionary Biology (17 papers), Ichthyology and Marine Biology (12 papers) and Evolution and Paleontology Studies (10 papers). The work is most often cited by research in Computational Mathematics (37 citations), Paleontology (82 citations) and Structural Biology (12 citations). Miaoyan Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yun S. Song, Jonathan Fischer, Lida Xing, Hongqiang Qu, Zhen Zhou, Jing Hong, Yanhui Xu, Juntao Gao, Peng Xi and Fengmei Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Environmental Science & Technology.
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.