Xi Wu

2.5k total citations · 2 hit papers
79 papers, 1.6k citations indexed

About

Xi Wu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Xi Wu has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Radiation. Recurrent topics in Xi Wu's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Imaging Techniques and Applications (12 papers) and Medical Image Segmentation Techniques (10 papers). Xi Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Imaging Techniques and Applications (12 papers) and Medical Image Segmentation Techniques (10 papers). Xi Wu collaborates with scholars based in China, United States and Australia. Xi Wu's co-authors include Yan Wang, Chen Zu, Luping Zhou, Dinggang Shen, Jiliu Zhou, Jiliu Zhou, David S. Lalush, Lei Wang, Weili Lin and Biting Yu and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Access.

In The Last Decade

Xi Wu

68 papers receiving 1.6k citations

Hit Papers

3D conditional generative adversarial networks for high-q... 2018 2026 2020 2023 2018 2022 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xi Wu China 21 732 686 368 240 232 79 1.6k
Jiliu Zhou China 19 576 0.8× 565 0.8× 303 0.8× 185 0.8× 113 0.5× 76 1.3k
Chen Zu China 19 643 0.9× 564 0.8× 383 1.0× 220 0.9× 211 0.9× 57 1.5k
Lei Xiang China 14 829 1.1× 519 0.8× 504 1.4× 313 1.3× 132 0.6× 32 1.5k
Wenjian Qin China 17 562 0.8× 330 0.5× 372 1.0× 212 0.9× 83 0.4× 70 1.0k
José Dolz Canada 23 720 1.0× 826 1.2× 618 1.7× 213 0.9× 64 0.3× 69 1.7k
Hua Li China 21 355 0.5× 637 0.9× 179 0.5× 199 0.8× 156 0.7× 152 1.5k
Ali Hatamizadeh United States 9 810 1.1× 1.1k 1.6× 715 1.9× 344 1.4× 48 0.2× 14 2.0k
Tom Doel United Kingdom 10 668 0.9× 681 1.0× 504 1.4× 223 0.9× 47 0.2× 16 1.7k
Vishwesh Nath United States 17 1.3k 1.8× 1.1k 1.6× 703 1.9× 384 1.6× 52 0.2× 50 2.6k

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.
Yang, Shanmin, Guo Hui, Shu Hu, et al.. (2025). CrossDF: improving cross-domain deepfake detection with deep information decomposition. Frontiers in Big Data. 8. 1669488–1669488.
2.
Wang, Yan, Luping Zhou, Chen Zu, et al.. (2025). Multi-Modal Long-Short Distance Attention-Based Transformer-GAN for PET Reconstruction With Auxiliary MRI. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 7835–7849.
3.
Wen, Lu, Jianghong Xiao, Xi Wu, et al.. (2024). Diffusion-Based Radiotherapy Dose Prediction Guided by Inter-Slice Aware Structure Encoding. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1119–1129. 7 indexed citations
4.
Wu, Xi, et al.. (2024). BTMuda: A Bi-Level Multisource Unsupervised Domain Adaptation Framework for Breast Cancer Diagnosis. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(3). 313–324. 3 indexed citations
5.
Ren, Zhiyu, et al.. (2024). Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection. Scientific Reports. 14(1). 1247–1247. 12 indexed citations
6.
Cui, Jiaqi, et al.. (2024). S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap. 20–25. 1 indexed citations
7.
Wu, Chengxu, et al.. (2024). Efficient Image Super-Resolution via Symmetric Visual Attention Network. 1–7. 1 indexed citations
8.
Wang, Yan, Chen Zu, Bo Zhan, et al.. (2023). 3D multi-modality Transformer-GAN for high-quality PET reconstruction. Medical Image Analysis. 91. 102983–102983. 17 indexed citations
9.
Wen, Lu, Jianghong Xiao, Jie Zeng, et al.. (2023). Multi-level progressive transfer learning for cervical cancer dose prediction. Pattern Recognition. 141. 109606–109606. 23 indexed citations
10.
Hu, Jinrong, et al.. (2023). An Adaptive Remote Sensing Image-Matching Network Based on Cross Attention and Deformable Convolution. Electronics. 12(13). 2889–2889. 1 indexed citations
11.
Wang, Kun, et al.. (2023). Oriented Object Detection in Remote Sensing Using an Enhanced Feature Pyramid Network. Electronics. 12(17). 3559–3559. 1 indexed citations
14.
Wang, Kaiping, Bo Zhan, Chen Zu, et al.. (2022). Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning. Medical Image Analysis. 79. 102447–102447. 112 indexed citations breakdown →
15.
Wu, Xi, et al.. (2018). Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning. Physics in Medicine and Biology. 64(2). 25005–25005. 46 indexed citations
16.
Wang, Yan, Luping Zhou, Biting Yu, et al.. (2018). 3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. IEEE Transactions on Medical Imaging. 38(6). 1328–1339. 155 indexed citations
17.
Wang, Yan, Luping Zhou, Lei Wang, et al.. (2018). Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. Lecture notes in computer science. 11070. 329–337. 23 indexed citations
18.
Wang, Yan, Pei Zhang, Le An, et al.. (2016). Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation. Physics in Medicine and Biology. 61(2). 791–812. 61 indexed citations
19.
Wu, Xi. (2012). A method of detecting re-sampling based on expectation maximization applied in audio blind forensics. Journal of Circuits and Systems. 2 indexed citations
20.
Wu, Xi. (2006). Design of a voltage-controlled oscillator based on MOS capacitance. Journal of Hefei University of Technology. 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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