Xi Wu

1.7k citations
53 papers · 584 · h-index 13

Impact in

Papers in

    • Advanced Image Processing Techniques 6
    • Advanced Neural Network Applications 5
    • Video Surveillance and Tracking Methods 5
    • Generative Adversarial Networks and Image Synthesis 4
    • Adversarial Robustness in Machine Learning 11
    • Anomaly Detection Techniques and Applications 8

Xi Wu

49 papers receiving 563 citations

Peers

Xi Wu
Comparison fields: 5 of 89
  • Media Technology 115
  • Computer Vision and Pattern Recognition 214
  • Artificial Intelligence 246
  • Signal Processing 63
  • Health Informatics 6
Replace Maria Trocan with:
Maria Trocan France
Adekanmi Adeyinka Adegun South Africa
Shailender Kumar India
Yi Guo Australia
Sizhe Wang China
Rachid Hedjam Canada
Ivica Dimitrovski North Macedonia
Xingsong Hou China
Yuxian Meng China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Xi Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xi Wu Line = papers co-authored together Xi Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 201762
3 202156
4 202039
5 201834
6 201928
7 202123
8 202021
9 201621
10 201418
11 201818
12 202217
13 201812
14 202012
15 202210
16
Concise Explanations of Neural Networks using Adversarial Training
20209
17 20238
18 20208
19 20217
20
Adversarial Learning and Explainability in Structured Datasets
20186

About Xi Wu

Xi Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 584 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (11 papers), Anomaly Detection Techniques and Applications (8 papers), Advanced Image Processing Techniques (6 papers), Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Image Processing Techniques and Applications (4 papers), Advanced Database Systems and Queries (4 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). The work is most often cited by research in Media Technology (115 citations), Computer Vision and Pattern Recognition (214 citations), Artificial Intelligence (246 citations), Signal Processing (63 citations) and Health Informatics (6 citations). Xi Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Somesh Jha, Zhenwei Shi, Jeffrey F. Naughton, Matt Fredrikson, Zhengxia Zou, Jing Hu, Jinrong Hu, Jiliu Zhou, Jiefeng Chen and Sen Lei. Their work appears in journals such as Proceedings of the VLDB Endowment, Sensors, The VLDB Journal, Clinical Kidney Journal and Applied Sciences.

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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