Xiaobo Wu

30 papers receiving 364 citations

Peers

Xiaobo Wu
Comparison fields: 5 of 74
  • Signal Processing 140
  • Computer Networks and Communications 179
  • Statistical and Nonlinear Physics 72
  • Information Systems 124
  • Artificial Intelligence 129
Replace Anmin Zhou with:
Anmin Zhou China
Shuhui Zhang China
Kálmán Graffi Germany
Amna Eleyan United Kingdom
R. Geetha India
Sangho Lee South Korea
Shuowei Jin China
Qiong Luo Hong Kong
Mo Adda United Kingdom
Xiaobo Wu relative to Anmin Zhou China Anmin Zhou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaobo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202157
2 202155
3 201933
4 202130
5 201729
6 201926
7 202221
8 202220
9 202012
10 201511
11 20219
12 20229
13 20238
14 20217
15 20227
16 20216
17 20246
18 20214
19 20253
20 20183

About Xiaobo Wu

Xiaobo Wu is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 33 papers that have together received 374 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Advanced Malware Detection Techniques (13 papers), Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (5 papers), Information and Cyber Security (4 papers), Anomaly Detection Techniques and Applications (4 papers), Spam and Phishing Detection (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Signal Processing (140 citations), Computer Networks and Communications (179 citations), Statistical and Nonlinear Physics (72 citations), Information Systems (124 citations) and Artificial Intelligence (129 citations). Xiaobo Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shudong Li, Weihong Han, Zhihong Tian, Zhen Wang, Dawei Zhao, Wei Lin, Aiping Li, Changdao Mu, Bin Zhou and Aiping Li. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Applied Mathematics and Computation, IEEE Transactions on Emerging Topics in Computational Intelligence, International Journal on Semantic Web and Information Systems and Industrial & Engineering Chemistry Research.

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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