Peijun Zhao
- Aerospace Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Niki TrigoniAndrew MarkhamChris Xiaoxuan LuChanghao ChenBing WangJianan WangWei WangMuhamad Risqi U. Saputra
- Topics
- Robotics and Sensor-Based Localization (8 papers)Indoor and Outdoor Localization Technologies (7 papers)Speech and Audio Processing (3 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Peijun Zhao
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Aerospace Engineering 528
- Electrical and Electronic Engineering 401
- Computer Vision and Pattern Recognition 392
- Biomedical Engineering 224
- Artificial Intelligence 172
Countries citing papers authored by Peijun Zhao
This map shows the geographic impact of Peijun 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 Peijun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peijun Zhao more than expected).
Fields of papers citing papers by Peijun Zhao
This network shows the impact of papers produced by Peijun 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 Peijun Zhao. The network helps show where Peijun Zhao may publish in the future.
Co-authorship network of co-authors of Peijun Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Peijun Zhao. A scholar is included among the top collaborators of Peijun 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 Peijun Zhao. Peijun 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 46 | |
| 9 | 31 | |
| 10 | 35 | |
| 11 | 13 | |
| 12 | 53 | |
| 13 | 111 | |
| 14 | 105 | |
| 15 | 17 | |
| 16 | 198 | |
| 17 | Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics | 3 |
| 18 | 18 | |
| 19 | 7 | |
| 20 | 11 |
About Peijun Zhao
Peijun Zhao is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Human-Computer Interaction (119 citations), Aerospace Engineering (528 citations) and Computer Vision and Pattern Recognition (392 citations). Peijun Zhao has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Niki Trigoni, Andrew Markham, Chris Xiaoxuan Lu, Changhao Chen, Bing Wang, Jianan Wang, Wei Wang, Wei Wang, Changhao Chen and Muhamad Risqi U. Saputra. Their work appears in journals such as Organic Letters, RSC Advances and IEEE Internet of Things Journal.
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.