Qi Cao
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Information Systems top 10%
- Topics
- Neural Networks and Applications (8 papers)Semiconductor Quantum Structures and Devices (8 papers)Semiconductor Lasers and Optical Devices (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersIEEE Transactions on Image Processing
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Qi Cao
83 papers receiving 564 citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 143
- Electrical and Electronic Engineering 124
- Artificial Intelligence 121
- Atomic and Molecular Physics, and Optics 63
- Information Systems 61
Countries citing papers authored by Qi Cao
This map shows the geographic impact of Qi Cao'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 Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Cao more than expected).
Fields of papers citing papers by Qi Cao
This network shows the impact of papers produced by Qi Cao. 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 Cao. The network helps show where Qi Cao may publish in the future.
Co-authorship network of co-authors of Qi Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Cao. A scholar is included among the top collaborators of Qi Cao 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 Cao. Qi Cao 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | Multiple Spatio-temporal Scales Traffic Forecasting Based on Deep Learning Approach | 4 |
| 19 | General movements and electroencephalogram as a predictive tool of highrisk neonatal neurodevelopmental outcome | 2 |
| 20 | Solving Maximum Cut Problem Using Improved Hop field Neural Network | 1 |
About Qi Cao
Qi Cao is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Science Applications, having authored 113 papers that have together received 584 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Semiconductor Quantum Structures and Devices (8 papers) and Semiconductor Lasers and Optical Devices (8 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (143 citations) and Human-Computer Interaction (36 citations). Qi Cao has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Chai Quek, Yigang Cen, Yiyu Cai, Gongping Wu, Song Yang, Zhiping Lin, Fei Fan, Man Wang, Chee Kiat Seow and Shuqin Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Transactions on Image Processing.
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.