Qi Zhao
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Topics
- Traffic control and management (10 papers)Advanced Vision and Imaging (9 papers)Traffic Prediction and Management Techniques (8 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Qi Zhao
70 papers receiving 833 citations
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 453
- Artificial Intelligence 157
- Information Systems 87
- Electrical and Electronic Engineering 82
- Aerospace Engineering 78
Countries citing papers authored by Qi Zhao
This map shows the geographic impact of Qi 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 Qi Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Zhao more than expected).
Fields of papers citing papers by Qi Zhao
This network shows the impact of papers produced by Qi 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 Qi Zhao. The network helps show where Qi Zhao may publish in the future.
Co-authorship network of co-authors of Qi Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Zhao. A scholar is included among the top collaborators of Qi 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 Qi Zhao. Qi 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | Persistence Enhanced Graph Neural Network | 4 |
| 14 | Learning metrics for persistence-based summaries and applications for graph classification | 10 |
| 15 | 3 | |
| 16 | Realization Based on Sequential Control the SPWM | 0 |
| 17 | Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording | 33 |
| 18 | Improvement and optimization of wireless digital network in power system | 0 |
| 19 | 4 | |
| 20 | Spike Feature Extraction Using Informative Samples | 18 |
About Qi Zhao
Qi Zhao is a scholar working on Transportation, Computer Vision and Pattern Recognition and Building and Construction, having authored 83 papers that have together received 861 indexed citations. Recurring topics across this work include Traffic control and management (10 papers), Advanced Vision and Imaging (9 papers) and Traffic Prediction and Management Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (453 citations), Artificial Intelligence (157 citations) and Media Technology (38 citations). Qi Zhao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tao Hai, Zhi Yang, Feng Tang, Yi Zhang, Daniel Friedman, Wentai Liu, Fangfang Tan, Edward W. Keefer, James B. Wendt and Marc Najork. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.