Min Tao
- Computational Mechanics top 1%
- Computer Vision and Pattern Recognition top 5%
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 2%
- Signal Processing top 5%
- Co-authors
- Xiaoming YuanBingsheng HeRaymond H. ChanBing HeJames G. NagyYifei LouBaosheng JinJong‐Shi Pang
- Topics
- Sparse and Compressive Sensing Techniques (23 papers)Advanced Optimization Algorithms Research (19 papers)Optimization and Variational Analysis (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaChemical Engineering JournalIEEE Transactions on Signal Processing
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Min Tao
45 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computational Mechanics 868
- Computer Vision and Pattern Recognition 355
- Numerical Analysis 333
- Computational Theory and Mathematics 263
- Signal Processing 177
Countries citing papers authored by Min Tao
This map shows the geographic impact of Min Tao'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 Min Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Tao more than expected).
Fields of papers citing papers by Min Tao
This network shows the impact of papers produced by Min Tao. 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 Min Tao. The network helps show where Min Tao may publish in the future.
Co-authorship network of co-authors of Min Tao
This figure shows the co-authorship network connecting the top 25 collaborators of Min Tao. A scholar is included among the top collaborators of Min Tao 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 Min Tao. Min Tao 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 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 40 | |
| 8 | 4 | |
| 9 | Unorganized Malicious Attacks Detection | 2 |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 30 | |
| 17 | Test for Stationary of Time Series Based on Spectral Analysis | 0 |
| 18 | 21 | |
| 19 | 2 | |
| 20 | Research on the Performance of Waterproof and Cohesive Layer | 5 |
About Min Tao
Min Tao is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (23 papers), Advanced Optimization Algorithms Research (19 papers) and Optimization and Variational Analysis (11 papers). The work is most often cited by research in Computational Mathematics (37 citations), Numerical Analysis (333 citations) and Computational Mechanics (868 citations). Min Tao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaoming Yuan, Bingsheng He, Raymond H. Chan, Bing He, James G. Nagy, Yifei Lou, Xiaoming Yuan, Baosheng Jin, Jong‐Shi Pang and Wenqi Zhong. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and IEEE Transactions on Signal Processing.
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.