Min Shao
- Computational Mechanics top 2%
- Signal Processing top 1%
- Molecular Biology
- Computer Vision and Pattern Recognition top 2%
- Plant Science top 10%
- Co-authors
- C.L. NikiasT. SimchonyRama ChellappaKenneth E. BarnerJames G. ThomsonXuewen GaoRussell C. HardieYitao Wang
- Topics
- Plant tissue culture and regeneration (11 papers)Plant Pathogenic Bacteria Studies (8 papers)Plant-Microbe Interactions and Immunity (7 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEE
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Min Shao
62 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computational Mechanics 559
- Signal Processing 548
- Molecular Biology 415
- Computer Vision and Pattern Recognition 368
- Plant Science 355
Countries citing papers authored by Min Shao
This map shows the geographic impact of Min Shao'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 Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Shao more than expected).
Fields of papers citing papers by Min Shao
This network shows the impact of papers produced by Min Shao. 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 Shao. The network helps show where Min Shao may publish in the future.
Co-authorship network of co-authors of Min Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Min Shao. A scholar is included among the top collaborators of Min Shao 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 Shao. Min Shao 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 28 | |
| 10 | 22 | |
| 11 | 32 | |
| 12 | 14 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | Silencing of OsDUF500 Gene in Rice Enhances Resistance to Xanthomonas oryzae pv. oryzae | 1 |
| 16 | 96 | |
| 17 | 18 | |
| 18 | Resistance of hrf1 Transgenic Rice to Ustilaginoidea virens | 1 |
| 19 | 4 | |
| 20 | Transformation of rice with hrfA_(Xoo) gene and resistance of transgenic plants to bacterial leaf blight | 4 |
About Min Shao
Min Shao is a scholar working on Horticulture, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (11 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant-Microbe Interactions and Immunity (7 papers). The work is most often cited by research in Signal Processing (548 citations), Computational Mechanics (559 citations) and Computer Graphics and Computer-Aided Design (83 citations). Min Shao has collaborated with scholars based in China, United States and Macao. Frequent co-authors include C.L. Nikias, T. Simchony, Rama Chellappa, Kenneth E. Barner, James G. Thomson, Xuewen Gao, Russell C. Hardie, Yitao Wang, Shuijin Hu and Yongjun Lin. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.
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.