Jianxin Wu
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.1%
- Electrical and Electronic Engineering top 5%
- Signal Processing top 0.5%
- Media Technology top 0.5%
- Topics
- Advanced Image and Video Retrieval Techniques (45 papers)Advanced Neural Network Applications (33 papers)Domain Adaptation and Few-Shot Learning (30 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAdvanced Functional MaterialsIEEE Transactions on Image Processing
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jianxin Wu
139 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Computer Vision and Pattern Recognition 5.9k
- Artificial Intelligence 5.4k
- Electrical and Electronic Engineering 1.1k
- Signal Processing 768
- Media Technology 695
Countries citing papers authored by Jianxin Wu
This map shows the geographic impact of Jianxin Wu'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 Jianxin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianxin Wu more than expected).
Fields of papers citing papers by Jianxin Wu
This network shows the impact of papers produced by Jianxin Wu. 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 Jianxin Wu. The network helps show where Jianxin Wu may publish in the future.
Co-authorship network of co-authors of Jianxin Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jianxin Wu. A scholar is included among the top collaborators of Jianxin Wu 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 Jianxin Wu. Jianxin Wu 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 | 7 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 126 | |
| 8 | 167 | |
| 9 | 1 | |
| 10 | 59 | |
| 11 | Learning with Augmented Multi-Instance View | 1 |
| 12 | 4 | |
| 13 | Reduced heteroscedasticity linear regression for Nyström approximation | 1 |
| 14 | Practical large scale classification with additive kernels | 4 |
| 15 | Key Instance Detection in Multi-Instance Learning | 45 |
| 16 | Exploratory Undersampling for Class-Imbalance Learningbreakdown → | 1783 |
| 17 | Learning a Rare Event Detection Cascade by Direct Feature Selection | 80 |
| 18 | Ensembling neural networks: Many could be better than allbreakdown → | 1357 |
| 19 | Genetic algorithm based selective neural network ensemble | 79 |
| 20 | A Model-Theoretic Approach to A-Not-A Questions | 1 |
About Jianxin Wu
Jianxin Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mathematics, having authored 150 papers that have together received 10.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (45 papers), Advanced Neural Network Applications (33 papers) and Domain Adaptation and Few-Shot Learning (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.9k citations), Artificial Intelligence (5.4k citations) and Media Technology (695 citations). Jianxin Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zhi‐Hua Zhou, Xuying Liu, Zhihua Zhou, Jian-Hao Luo, James M. Rehg, Weiyao Lin, Wei Tang, Xiu-Shen Wei, Chen-Wei Xie and Chen-Lin Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Functional Materials 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.