Qingshan Liu
- Computer Vision and Pattern Recognition top 0.1%
- Media Technology top 0.05%
- Artificial Intelligence top 0.5%
- Experimental and Cognitive Psychology top 1%
- Atmospheric Science top 2%
- Co-authors
- Renlong HangDimitris MetaxasKaihua ZhangZengqun ZhaoFeng ZhouPedram GhamisiHuihui SongHanqing Lu
- Topics
- Face and Expression Recognition (54 papers)Advanced Image and Video Retrieval Techniques (51 papers)Remote-Sensing Image Classification (40 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceBioresource Technology
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qingshan Liu
259 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Computer Vision and Pattern Recognition 5.2k
- Media Technology 2.2k
- Artificial Intelligence 1.7k
- Experimental and Cognitive Psychology 924
- Atmospheric Science 909
Countries citing papers authored by Qingshan Liu
This map shows the geographic impact of Qingshan Liu'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 Qingshan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingshan Liu more than expected).
Fields of papers citing papers by Qingshan Liu
This network shows the impact of papers produced by Qingshan Liu. 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 Qingshan Liu. The network helps show where Qingshan Liu may publish in the future.
Co-authorship network of co-authors of Qingshan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Qingshan Liu. A scholar is included among the top collaborators of Qingshan Liu 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 Qingshan Liu. Qingshan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 26 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wildbreakdown → | 210 |
| 18 | Hyperspectral Image Classification With Attention-Aided CNNsbreakdown → | 267 |
| 19 | 126 | |
| 20 | 185 |
About Qingshan Liu
Qingshan Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics, having authored 273 papers that have together received 8.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (54 papers), Advanced Image and Video Retrieval Techniques (51 papers) and Remote-Sensing Image Classification (40 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.2k citations), Media Technology (2.2k citations) and Computational Mathematics (42 citations). Qingshan Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Renlong Hang, Dimitris Metaxas, Kaihua Zhang, Zengqun Zhao, Feng Zhou, Pedram Ghamisi, Huihui Song, Hanqing Lu, Peng Yang and Yuchi Huang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bioresource Technology.
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.