Jianxin Wu

18.1k total citations · 6 hit papers
150 papers, 10.7k citations indexed

About

Jianxin Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jianxin Wu has authored 150 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Computer Vision and Pattern Recognition, 67 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Jianxin Wu's 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). Jianxin Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (45 papers), Advanced Neural Network Applications (33 papers) and Domain Adaptation and Few-Shot Learning (30 papers). Jianxin Wu collaborates with scholars based in China, Singapore and United States. Jianxin Wu's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Functional Materials and IEEE Transactions on Image Processing.

In The Last Decade

Jianxin Wu

139 papers receiving 10.3k citations

Hit Papers

Exploratory Undersampling for Class-Imbalance Learning 2002 2026 2010 2018 2008 2002 2017 2010 2017 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Exploratory Undersampling for Class-Imbalance Learning
    2008 1.8k citations Xuying Liu, Jianxin Wu et al. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) profile →
  2. Ensembling neural networks: Many could be better than all
    2002 1.4k citations Zhi‐Hua Zhou, Jianxin Wu et al. Artificial Intelligence profile →
  3. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
    2017 1.1k citations Jian-Hao Luo, Jianxin Wu et al. profile →
  4. CENTRIST: A Visual Descriptor for Scene Categorization
    2010 502 citations Jianxin Wu, James M. Rehg IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  5. Deep Label Distribution Learning With Label Ambiguity
    2017 349 citations Chen-Wei Xie, Jianxin Wu et al. profile →
  6. Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization
    2017 256 citations Xiu-Shen Wei, Chen-Wei Xie et al. Pattern Recognition profile →

Peers

Jianxin Wu
Raia Hadsell United States
Xavier Glorot Canada
Xiaojun Chang China
Lei Wang China
Vinod Nair India
Sergio Guadarrama United States
Simon Osindero United Kingdom
Jianfei Cai Singapore
Chang Xu China
Mehdi Mirza Canada
Raia Hadsell United States
Jianxin Wu
Citations per year, relative to Jianxin Wu Jianxin Wu (= 1×) peers Raia Hadsell

Countries citing papers authored by Jianxin Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Wu, Jianxin, et al.. (2025). Coarse is better? A new pipeline towards self-supervised learning with uncurated images. Pattern Recognition. 161. 111324–111324.
2.
Wu, Jianxin, et al.. (2024). Reviving undersampling for long-tailed learning. Pattern Recognition. 161. 111200–111200. 2 indexed citations
3.
Zhang, Xianghong, Jianxin Wu, Hao Chen, et al.. (2024). Point Calculation Detection System Based on In Suit Convolution Transistor for Clinical Diagnosis of Heart Disease. Advanced Functional Materials. 34(33). 7 indexed citations
4.
Zhu, Ke, et al.. (2024). DTL: Disentangled Transfer Learning for Visual Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12082–12090. 5 indexed citations
5.
Zhu, Ke, et al.. (2023). Quantized Feature Distillation for Network Quantization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11452–11460. 10 indexed citations
6.
Yu, Hao & Jianxin Wu. (2023). Compressing Transformers: Features Are Low-Rank, but Weights Are Not!. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11007–11015. 1 indexed citations
7.
Luo, Jian-Hao & Jianxin Wu. (2020). AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference. Pattern Recognition. 107. 107461–107461. 126 indexed citations
8.
Luo, Jian-Hao, et al.. (2018). ThiNet: Pruning CNN Filters for a Thinner Net. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(10). 2525–2538. 167 indexed citations
9.
Dai, Yi, et al.. (2018). Impact of butylphthalide soft capsules on the related factors and quality of life of Parkinson patients with dementia. Zhongguo jiceng yiyao. 25(1). 68–71. 1 indexed citations
10.
Wei, Xiu-Shen, et al.. (2017). Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. IEEE Transactions on Affective Computing. 9(3). 303–315. 59 indexed citations
11.
Zhu, Yue, Jianxin Wu, Yuan Jiang, & Zhi‐Hua Zhou. (2014). Learning with Augmented Multi-Instance View. Asian Conference on Machine Learning. 234–249. 1 indexed citations
12.
Zhang, Chi, Jun Luo, & Jianxin Wu. (2014). Poster abstract: MaWi: a hybrid magnetic and wi-fi system for scalable indoor localization. Information Processing in Sensor Networks. 275–276. 4 indexed citations
13.
Wu, Jianxin, et al.. (2013). Reduced heteroscedasticity linear regression for Nyström approximation. International Joint Conference on Artificial Intelligence. 1841–1847. 1 indexed citations
14.
Yang, Hao & Jianxin Wu. (2012). Practical large scale classification with additive kernels. DR-NTU (Nanyang Technological University). 523–538. 4 indexed citations
15.
Liu, Guoqing, Jianxin Wu, & Zhi‐Hua Zhou. (2012). Key Instance Detection in Multi-Instance Learning. DR-NTU (Nanyang Technological University). 253–268. 45 indexed citations
16.
Liu, Xuying, Jianxin Wu, & Zhihua Zhou. (2008). Exploratory Undersampling for Class-Imbalance Learning. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(2). 539–550. 1783 indexed citations breakdown →
17.
Wu, Jianxin, James M. Rehg, & Matthew D. Mullin. (2003). Learning a Rare Event Detection Cascade by Direct Feature Selection. SMARTech Repository (Georgia Institute of Technology). 16. 1523–1530. 80 indexed citations
18.
Zhou, Zhi‐Hua, Jianxin Wu, & Wei Tang. (2002). Ensembling neural networks: Many could be better than all. Artificial Intelligence. 137(1-2). 239–263. 1357 indexed citations breakdown →
19.
Zhou, Zhi‐Hua, Jianxin Wu, Yuan Jiang, & Shifu Chen. (2001). Genetic algorithm based selective neural network ensemble. International Joint Conference on Artificial Intelligence. 797–802. 79 indexed citations
20.
Wu, Jianxin. (1997). A Model-Theoretic Approach to A-Not-A Questions. Scholarly Commons (University of Pennsylvania). 1 indexed citations

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.

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