Tai Qin
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Molecular Biology
- Computer Vision and Pattern Recognition
- Economics and Econometrics
- Topics
- Complex Network Analysis Techniques (3 papers)Bayesian Methods and Mixture Models (1 paper)Advanced Clustering Algorithms Research (1 paper)
- Journals
- Proceedings of the National Academy of SciencesStatistica SinicaNeural Information Processing Systems
- Partner nations
- United States
In The Last Decade
Tai Qin
3 papers receiving 102 citations
Peers
Comparison fields: 5 of 37
- Statistical and Nonlinear Physics 76
- Artificial Intelligence 46
- Molecular Biology 15
- Computer Vision and Pattern Recognition 13
- Economics and Econometrics 10
Countries citing papers authored by Tai Qin
This map shows the geographic impact of Tai Qin'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 Tai Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Qin more than expected).
Fields of papers citing papers by Tai Qin
This network shows the impact of papers produced by Tai Qin. 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 Tai Qin. The network helps show where Tai Qin may publish in the future.
Co-authorship network of co-authors of Tai Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Tai Qin. A scholar is included among the top collaborators of Tai Qin 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 Tai Qin. Tai Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 2 | |
| 3 | Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel | 47 |
About Tai Qin
Tai Qin is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Artificial Intelligence, having authored 3 papers that have together received 107 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Bayesian Methods and Mixture Models (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (76 citations), Computational Mathematics (1 citation) and Artificial Intelligence (46 citations). Tai Qin has collaborated with scholars based in United States. Frequent co-authors include Karl Rohe and Bin Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Statistica Sinica 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.