Hang Zhao
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Tianyuan ZhangXuanyao ChenYilun WangYue WangLiangji FangFeng ZhaoZehui ChenQinhong Jiang
- Topics
- Advanced Neural Network Applications (4 papers)Video Surveillance and Tracking Methods (3 papers)Autonomous Vehicle Technology and Safety (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaISPRS Journal of Photogrammetry and Remote SensingOre Geology Reviews
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hang Zhao
14 papers receiving 381 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 278
- Aerospace Engineering 165
- Automotive Engineering 61
- Artificial Intelligence 45
- Industrial and Manufacturing Engineering 44
Countries citing papers authored by Hang Zhao
This map shows the geographic impact of Hang 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 Hang Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Zhao more than expected).
Fields of papers citing papers by Hang Zhao
This network shows the impact of papers produced by Hang 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 Hang Zhao. The network helps show where Hang Zhao may publish in the future.
Co-authorship network of co-authors of Hang Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Hang Zhao. A scholar is included among the top collaborators of Hang 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 Hang Zhao. Hang 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 | 10 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | FUTR3D: A Unified Sensor Fusion Framework for 3D Detectionbreakdown → | 173 |
| 13 | 47 | |
| 14 | 21 | |
| 15 | 11 | |
| 16 | 88 | |
| 17 | 13 |
About Hang Zhao
Hang Zhao is a scholar working on Computer Vision and Pattern Recognition, Management Information Systems and Automotive Engineering, having authored 17 papers that have together received 395 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (278 citations), Aerospace Engineering (165 citations) and Automotive Engineering (61 citations). Hang Zhao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tianyuan Zhang, Xuanyao Chen, Yilun Wang, Yue Wang, Liangji Fang, Feng Zhao, Zehui Chen, Qinhong Jiang, Shiquan Zhang and Bolei Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, ISPRS Journal of Photogrammetry and Remote Sensing and Ore Geology Reviews.
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.