He Zhao
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Automotive Engineering top 10%
- Biomedical Engineering
- Safety, Risk, Reliability and Quality top 10%
- Topics
- Video Surveillance and Tracking Methods (6 papers)Human Pose and Action Recognition (5 papers)Advanced Neural Network Applications (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionAutomotive EngineeringSafety, Risk, Reliability and Quality
- Journals
- Frontiers in NeuroroboticsJournal of Physics Conference Series2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
He Zhao
18 papers receiving 277 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 229
- Artificial Intelligence 86
- Automotive Engineering 58
- Biomedical Engineering 38
- Safety, Risk, Reliability and Quality 37
Countries citing papers authored by He Zhao
This map shows the geographic impact of He 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 He Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Zhao more than expected).
Fields of papers citing papers by He Zhao
This network shows the impact of papers produced by He 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 He Zhao. The network helps show where He Zhao may publish in the future.
Co-authorship network of co-authors of He Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of He Zhao. A scholar is included among the top collaborators of He 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 He Zhao. He 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 | 18 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 51 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 15 | |
| 13 | 90 | |
| 14 | 34 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 24 | |
| 19 | 2 |
About He Zhao
He Zhao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 19 papers that have together received 290 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Automotive Engineering (58 citations) and Safety, Risk, Reliability and Quality (37 citations). He Zhao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Richard P. Wildes, Yinggang Wang, Jiashi Feng, Lingxiao He, Wu Liu, Zhenan Sun, Hang Shi, Yingwei Pan, Yuexian Zou and Ting Yao. Their work appears in journals such as Frontiers in Neurorobotics, Journal of Physics Conference Series and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.