Xi Wu

1.6k total citations
53 papers, 568 citations indexed

About

Xi Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xi Wu has authored 53 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Xi Wu's work include Adversarial Robustness in Machine Learning (11 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Image Processing Techniques (6 papers). Xi Wu is often cited by papers focused on Adversarial Robustness in Machine Learning (11 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Image Processing Techniques (6 papers). Xi Wu collaborates with scholars based in China, United States and Taiwan. Xi Wu's co-authors include Somesh Jha, Zhenwei Shi, Jeffrey F. Naughton, Matt Fredrikson, Zhengxia Zou, Jing Hu, Jinrong Hu, Jiliu Zhou, Jiefeng Chen and Wentao Wu and has published in prestigious journals such as IEEE Access, Energy and Sensors.

In The Last Decade

Xi Wu

48 papers receiving 546 citations

Peers

Xi Wu
Sanjiv Kumar United States
Sizhe Wang China
Yuxian Meng China
Adekanmi Adeyinka Adegun South Africa
Rachid Hedjam Canada
Shailender Kumar India
Neal R. Harvey United States
Muhammad Attique Khan Saudi Arabia
Weiwei Liu China
Xingsong Hou China
Sanjiv Kumar United States
Xi Wu
Citations per year, relative to Xi Wu Xi Wu (= 1×) peers Sanjiv Kumar

Countries citing papers authored by Xi Wu

Since Specialization
Citations

This map shows the geographic impact of Xi 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 Xi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Wu more than expected).

Fields of papers citing papers by Xi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xi 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 Xi Wu. The network helps show where Xi Wu may publish in the future.

Co-authorship network of co-authors of Xi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Wu. A scholar is included among the top collaborators of Xi 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 Xi Wu. Xi 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.
Fan, Kai, et al.. (2025). Energy-saving control of multi-zone purification ventilation system based on a novel multi-task learning framework. Energy. 317. 134744–134744. 3 indexed citations
2.
Su, Yun, Yuting Ma, Yubing Wang, et al.. (2024). Downregulated CCND3 Is a Key Event Driving Lung Adenocarcinoma Metastasis during Acquired Cisplatin Resistance. International Journal of Biological Sciences. 21(2). 708–724.
3.
Shute, Jeff, Matthew W. Brown, James C. Browne, et al.. (2024). SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL. Proceedings of the VLDB Endowment. 17(12). 4051–4063. 4 indexed citations
4.
Zheng, Jiaqi, Xi Wu, Xiaojie Li, & Jing Peng. (2024). Near-Surface Air Temperature Estimation Based on an Improved Conditional Generative Adversarial Network. Sensors. 24(18). 5972–5972.
5.
Li, Xiaojie, Canghong Shi, Jun Guo, et al.. (2023). Dual-feature Fusion Attention Network for Small Object Segmentation. Computers in Biology and Medicine. 160. 106985–106985. 7 indexed citations
6.
Liang, Yingyu, et al.. (2022). Person Re-Identification Combined with Style Transfer and Pose Generation. International Journal of Pattern Recognition and Artificial Intelligence. 36(2). 1 indexed citations
7.
8.
Peng, Jing, et al.. (2021). A Multi-Task Network for Cardiac Magnetic Resonance Image Segmentation and Classification. Intelligent Automation & Soft Computing. 29(3). 259–272. 4 indexed citations
9.
Yu, Yun, Xi Wu, Jiu Chen, et al.. (2021). Characterizing Brain Tumor Regions Using Texture Analysis in Magnetic Resonance Imaging. Frontiers in Neuroscience. 15. 634926–634926. 7 indexed citations
10.
Wu, Xi & Zhenwei Shi. (2020). Scene Aggregation Network for Cloud Detection on Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
11.
Chen, Jiefeng, Yixuan Li, Xi Wu, Yingyu Liang, & Somesh Jha. (2020). Robust Out-of-distribution Detection via Informative Outlier Mining.. arXiv (Cornell University). 3 indexed citations
12.
Chalasani, Prasad, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, & Somesh Jha. (2020). Concise Explanations of Neural Networks using Adversarial Training. International Conference on Machine Learning. 1. 1383–1391. 9 indexed citations
13.
Hu, Jing, Ziwei Luo, Xin Wang, et al.. (2020). End-to-end multimodal image registration via reinforcement learning. Medical Image Analysis. 68. 101878–101878. 37 indexed citations
14.
Wu, Xi, et al.. (2020). Urine Red Blood Cells Generation Using StyleGAN2 Network. 2019. 244–248. 3 indexed citations
15.
Chen, Jiefeng, Xi Wu, Vaibhav Rastogi, Yingyu Liang, & Somesh Jha. (2019). Robust Attribution Regularization. Neural Information Processing Systems. 32. 14300–14310. 2 indexed citations
16.
Chen, Jiefeng, Xi Wu, Vaibhav Rastogi, Yingyu Liang, & Somesh Jha. (2019). Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks. 480–495. 4 indexed citations
17.
Chen, Jiefeng, Xi Wu, Yingyu Liang, & Somesh Jha. (2018). Improving Adversarial Robustness by Data-Specific Discretization.. arXiv (Cornell University). 4 indexed citations
18.
Wu, Xi, et al.. (2018). Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training. International Conference on Machine Learning. 5334–5342. 3 indexed citations
19.
Chen, Lingjiao, et al.. (2017). When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding.. arXiv (Cornell University). 2 indexed citations
20.
Hu, Jinrong, et al.. (2016). Non-local MRI denoising using random sampling. Magnetic Resonance Imaging. 34(7). 990–999. 21 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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