Shu‐Tao Xia

10.8k citations
284 papers · 5.0k indexed · 4 hit papers · h-index 32

Impact in

Papers in

Shu‐Tao Xia

258 papers receiving 4.9k citations

Hit Papers

Backdoor Learning: A Survey 2022 · 280 citations
28020192026202120234008001.2k

Peers

Shu‐Tao Xia
Comparison fields: 5 of 169
  • Computer Vision and Pattern Recognition 2.4k
  • Media Technology 973
  • Artificial Intelligence 2.0k
  • Signal Processing 501
  • Computer Networks and Communications 1.0k
Replace Jianping Fan with:
Jianping Fan China
Min Wu United States
Adam Coates United States
Lin Ma China
Ahmed Bouridane United Kingdom
Feng Wu China
Xiaonan Luo China
Mario Vento Italy
Marcello Pelillo Italy
Chenggang Yan China
Shu‐Tao Xia relative to Jianping Fan China Jianping Fan's profile →
Citations per field
00.5×3.8×
Jianping Fan · 1×
Citations per year

Countries citing papers authored by Shu‐Tao Xia

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Tao Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Tao Xia. 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 Shu‐Tao Xia. The network helps show where Shu‐Tao Xia may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shu‐Tao Xia, 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 Shu‐Tao Xia Line = papers co-authored together Shu‐Tao Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20240
5 202412
6 20240
7 20234
8 20232
9 202319
10 20233
11 202324
12 20222
13 202127
14 20213
15 202146
16 20206
17 20208
18 202032
19 201934
20 201728

About Shu‐Tao Xia

Shu‐Tao Xia is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Media Technology and Signal Processing, having authored 284 papers that have together received 5.0k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (36 papers), Advanced Data Storage Technologies (36 papers), Anomaly Detection Techniques and Applications (31 papers), Caching and Content Delivery (30 papers), Coding theory and cryptography (25 papers), Cooperative Communication and Network Coding (25 papers), Advanced Neural Network Applications (24 papers) and Advanced Image Processing Techniques (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Media Technology (973 citations), Artificial Intelligence (2.0k citations), Signal Processing (501 citations) and Computer Networks and Communications (1.0k citations). Shu‐Tao Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Dai, Yongbing Zhang, Jianrui Cai, Lei Zhang, Yong Jiang, Xi Xiao, Yiming Li, Bin Chen, Fang‐Wei Fu and Zhifeng Li. Their work appears in journals such as IEEE Transactions on Information Theory, Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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