Qiang Qiu
About
In The Last Decade
Qiang Qiu
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 507
- Artificial Intelligence 271
- Cognitive Neuroscience 265
- Developmental Biology 187
- Ecology, Evolution, Behavior and Systematics 166
Countries citing papers authored by Qiang Qiu
This map shows the geographic impact of Qiang Qiu'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 Qiang Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Qiu more than expected).
Fields of papers citing papers by Qiang Qiu
This network shows the impact of papers produced by Qiang Qiu. 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 Qiang Qiu. The network helps show where Qiang Qiu may publish in the future.
Co-authorship network of co-authors of Qiang Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Qiu. A scholar is included among the top collaborators of Qiang Qiu 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 Qiang Qiu. Qiang Qiu 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 | 3 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | Graph Convolution with Low-rank Learnable Local Filters | 1 |
| 7 | Image Generation using Continuous Filter Atoms | 1 |
| 8 | Learning to Learn Dense Gaussian Processes for Few-Shot Learning | 8 |
| 9 | Learning to Learn Variational Semantic Memory | 3 |
| 10 | Adversarially Learned Representations for Information Obfuscation and Inference | 18 |
| 11 | 13 | |
| 12 | Towards global monitoring of tectonic and volcanic hazards using Sentinel-1 | 1 |
| 13 | 55 | |
| 14 | DCFNet: Deep Neural Network with Decomposed Convolutional Filters | 4 |
| 15 | 75 | |
| 16 | 46 | |
| 17 | Learning transformations for clustering and classification | 29 |
| 18 | Discriminative Robust transformation learning | 3 |
| 19 | Learning Transformations for Classification Forests | 1 |
| 20 | 10 |
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.