Qiuxia Lai
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 2%
- Cognitive Neuroscience top 10%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Topics
- Visual Attention and Saliency Detection (6 papers)Advanced Vision and Imaging (5 papers)Advanced Neural Network Applications (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Qiuxia Lai
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 732
- Media Technology 159
- Cognitive Neuroscience 113
- Aerospace Engineering 106
- Artificial Intelligence 101
Countries citing papers authored by Qiuxia Lai
This map shows the geographic impact of Qiuxia Lai'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 Qiuxia Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiuxia Lai more than expected).
Fields of papers citing papers by Qiuxia Lai
This network shows the impact of papers produced by Qiuxia Lai. 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 Qiuxia Lai. The network helps show where Qiuxia Lai may publish in the future.
Co-authorship network of co-authors of Qiuxia Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Qiuxia Lai. A scholar is included among the top collaborators of Qiuxia Lai 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 Qiuxia Lai. Qiuxia Lai 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 | Poly Kernel Inception Network for Remote Sensing Detectionbreakdown → | 182 |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 5 | |
| 11 | Combination of Feature Selection and CatBoost for Prediction: The First Application to the Estimation of Aboveground Biomassbreakdown → | 167 |
| 12 | Salient Object Detection in the Deep Learning Era: An In-Depth Surveybreakdown → | 465 |
| 13 | 52 | |
| 14 | 48 | |
| 15 | Human vs Machine Attention in Neural Networks: A Comparative Study. | 3 |
| 16 | 1 | |
| 17 | 111 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 2 |
About Qiuxia Lai
Qiuxia Lai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Sensory Systems, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (6 papers), Advanced Vision and Imaging (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (732 citations), Media Technology (159 citations) and Sensory Systems (66 citations). Qiuxia Lai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wenguan Wang, Jianbing Shen, Huazhu Fu, Haibin Ling, Ruigang Yang, Hanqiu Sun, Yuwei Wang, Yazhou Yao, Xinhao Cai and Zeren Sun. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.