Shuhan Qi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems
- Computer Science Applications top 10%
- Sociology and Political Science
- Topics
- Advanced Image and Video Retrieval Techniques (18 papers)Multimodal Machine Learning Applications (11 papers)Reinforcement Learning in Robotics (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Science Applications
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Neural Networks and Learning SystemsNeurocomputing
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Shuhan Qi
41 papers receiving 290 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 153
- Computer Vision and Pattern Recognition 145
- Information Systems 29
- Computer Science Applications 25
- Sociology and Political Science 17
Countries citing papers authored by Shuhan Qi
This map shows the geographic impact of Shuhan Qi'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 Shuhan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhan Qi more than expected).
Fields of papers citing papers by Shuhan Qi
This network shows the impact of papers produced by Shuhan Qi. 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 Shuhan Qi. The network helps show where Shuhan Qi may publish in the future.
Co-authorship network of co-authors of Shuhan Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Shuhan Qi. A scholar is included among the top collaborators of Shuhan Qi 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 Shuhan Qi. Shuhan Qi 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 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 23 | |
| 8 | 33 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 52 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 28 | |
| 20 | 1 |
About Shuhan Qi
Shuhan Qi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Decision Sciences, having authored 49 papers that have together received 295 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Multimodal Machine Learning Applications (11 papers) and Reinforcement Learning in Robotics (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Artificial Intelligence (153 citations) and Computer Science Applications (25 citations). Shuhan Qi has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Qing Liao, Xuan Wang, Zoe L. Jiang, Liang Ding, Xixi Huang, Y. Ding, Xuan Wang, Jian Guan, Jiajia Zhang and Fanglin Wang. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.