Na Zhao
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Management Science and Operations Research top 10%
- Geology top 5%
- Co-authors
- Tat‐Seng ChuaGim Hee LeeZeshui XuHanwang ZhangZhiliang RenGuanghui XuXijin TangCuiping Wei
- Topics
- Advanced Neural Network Applications (5 papers)Advanced Vision and Imaging (5 papers)3D Shape Modeling and Analysis (5 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Na Zhao
27 papers receiving 466 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 192
- Artificial Intelligence 93
- Computational Mechanics 86
- Management Science and Operations Research 74
- Geology 70
Countries citing papers authored by Na Zhao
This map shows the geographic impact of Na Zhao'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 Na Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Zhao more than expected).
Fields of papers citing papers by Na Zhao
This network shows the impact of papers produced by Na Zhao. 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 Na Zhao. The network helps show where Na Zhao may publish in the future.
Co-authorship network of co-authors of Na Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Na Zhao. A scholar is included among the top collaborators of Na Zhao 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 Na Zhao. Na Zhao 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 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 76 | |
| 10 | 90 | |
| 11 | 33 | |
| 12 | 6 | |
| 13 | 53 | |
| 14 | 20 | |
| 15 | 21 | |
| 16 | 3 | |
| 17 | Characteristics and evolution process and their modeling of sand ripples on Dongtai tidal flats,Jiangsu province China | 2 |
| 18 | 1 | |
| 19 | Study on the COD Emission Trends and the Reduction Measures in Hebei Province | 1 |
| 20 | Optimization of self-adaptive ant colony algorithm for infrared image segmentation | 0 |
About Na Zhao
Na Zhao is a scholar working on Computer Vision and Pattern Recognition, Geology and Industrial and Manufacturing Engineering, having authored 34 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (5 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Geology (70 citations), Computer Vision and Pattern Recognition (192 citations) and Management Science and Operations Research (74 citations). Na Zhao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Tat‐Seng Chua, Gim Hee Lee, Zeshui Xu, Hanwang Zhang, Zhiliang Ren, Guanghui Xu, Xijin Tang, Cuiping Wei, Yong Yu and Rui Yu. Their work appears in journals such as Atmospheric Environment, Information Sciences and International Journal of Computer Vision.
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.