Nan Zhao
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Artificial Intelligence top 10%
- Co-authors
- Jin TangChenglong LiYijuan LuXinyan LiangChengli ZhuLinsheng HuoGangbing SongXiaochun Cao
- Topics
- Underwater Vehicles and Communication Systems (5 papers)Energy Harvesting in Wireless Networks (3 papers)Fault Detection and Control Systems (3 papers)
- Journals
- The Journal of the Acoustical Society of AmericaPattern RecognitionIEEE Transactions on Vehicular Technology
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Nan Zhao
39 papers receiving 863 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 545
- Aerospace Engineering 234
- Electrical and Electronic Engineering 118
- Media Technology 112
- Artificial Intelligence 94
Countries citing papers authored by Nan Zhao
This map shows the geographic impact of Nan 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 Nan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Zhao more than expected).
Fields of papers citing papers by Nan Zhao
This network shows the impact of papers produced by Nan 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 Nan Zhao. The network helps show where Nan Zhao may publish in the future.
Co-authorship network of co-authors of Nan Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Nan Zhao. A scholar is included among the top collaborators of Nan 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 Nan Zhao. Nan 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 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 39 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 23 | |
| 17 | 162 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 3 |
About Nan Zhao
Nan Zhao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering, having authored 44 papers that have together received 884 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (5 papers), Energy Harvesting in Wireless Networks (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (545 citations), Media Technology (112 citations) and Aerospace Engineering (234 citations). Nan Zhao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jin Tang, Chenglong Li, Yijuan Lu, Xinyan Liang, Chengli Zhu, Linsheng Huo, Gangbing Song, Xiaochun Cao, Minghu Wu and Lujun Wang. Their work appears in journals such as The Journal of the Acoustical Society of America, Pattern Recognition and IEEE Transactions on Vehicular 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.