Hang Zhao
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Media Technology top 0.5%
- Biomedical Engineering top 5%
- Signal Processing top 1%
- Co-authors
- Antonio TorralbaXavier PuigBolei ZhouSanja FidlerIuri FrosioJan KautzOrazio GalloTete Xiao
- Topics
- Advanced Neural Network Applications (9 papers)Music and Audio Processing (6 papers)Speech and Audio Processing (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsACM Transactions on Graphics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hang Zhao
46 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computer Vision and Pattern Recognition 4.0k
- Artificial Intelligence 1.6k
- Media Technology 841
- Biomedical Engineering 700
- Signal Processing 690
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 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | Adversarially Robust Imitation Learning | 1 |
| 6 | 19 | |
| 7 | 6 | |
| 8 | UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging | 8 |
| 9 | Multivariate Time-Series Anomaly Detection via Graph Attention Networkbreakdown → | 371 |
| 10 | 6 | |
| 11 | Self-Supervised Segmentation and Source Separation on Videos | 2 |
| 12 | Semantic Understanding of Scenes Through the ADE20K Datasetbreakdown → | 975 |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | Scene Parsing through ADE20K Datasetbreakdown → | 1767 |
| 17 | Loss Functions for Image Restoration With Neural Networksbreakdown → | 1662 |
| 18 | 80 | |
| 19 | 6 | |
| 20 | A Scalable and Energy Efficient Sink Location Service for Large-scale Wireless Sensor Networks. | 2 |
About Hang Zhao
Hang Zhao is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Acoustics and Ultrasonics, having authored 50 papers that have together received 6.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Music and Audio Processing (6 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.0k citations), Media Technology (841 citations) and Signal Processing (690 citations). Hang Zhao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Antonio Torralba, Xavier Puig, Bolei Zhou, Sanja Fidler, Iuri Frosio, Jan Kautz, Orazio Gallo, Tete Xiao, M. Zhao and Dina Katabi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Transactions on Graphics.
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.