Qi Zhao
- Computer Vision and Pattern Recognition top 0.5%
- Cognitive Neuroscience top 2%
- Artificial Intelligence top 2%
- Human-Computer Interaction top 0.5%
- Computer Networks and Communications top 5%
- Co-authors
- Ming JiangChengyao ShenMohan KankanhalliXun HuangXavier BoixJuanyong DuanShengsheng HuangYongkang Wong
- Topics
- Visual Attention and Saliency Detection (43 papers)Multimodal Machine Learning Applications (24 papers)Advanced Image and Video Retrieval Techniques (22 papers)
- Journals
- Nature CommunicationsNeuronSHILAP Revista de lepidopterología
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Qi Zhao
98 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 2.0k
- Cognitive Neuroscience 875
- Artificial Intelligence 529
- Human-Computer Interaction 502
- Computer Networks and Communications 338
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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 28 | |
| 9 | 30 | |
| 10 | 27 | |
| 11 | 92 | |
| 12 | 12 | |
| 13 | 26 | |
| 14 | What am I searching for | 1 |
| 15 | 29 | |
| 16 | SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networksbreakdown → | 376 |
| 17 | 250 | |
| 18 | 2 | |
| 19 | 22 | |
| 20 | 127 |
About Qi Zhao
Qi Zhao is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Sensory Systems, having authored 105 papers that have together received 3.2k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (43 papers), Multimodal Machine Learning Applications (24 papers) and Advanced Image and Video Retrieval Techniques (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Human-Computer Interaction (502 citations) and Cognitive Neuroscience (875 citations). Qi Zhao has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Ming Jiang, Chengyao Shen, Mohan Kankanhalli, Xun Huang, Xavier Boix, Juanyong Duan, Shengsheng Huang, Yongkang Wong, Junnan Li and Jun Xu. Their work appears in journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.
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.