Xiao Yu
- Information Systems top 1%
- Recommender Systems and Techniques 6
- Cloud Data Security Solutions 4
- Artificial Intelligence top 1%
- Cryptography and Data Security 6
- Topic Modeling 5
- Advanced Graph Neural Networks 5
- Text and Document Classification Technologies 4
- Adversarial Robustness in Machine Learning 3
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- Complex Network Analysis Techniques 5
- Co-authors
- Jiawei HanQuanquan GuYizhou SunBrandon NorickUrvashi KhandelwalXiang RenBradley SturtMianwei Zhou
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Materials Chemistry A (1 paper)Nano Energy (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiao Yu
37 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Information Systems 639
- Artificial Intelligence 863
- Statistical and Nonlinear Physics 224
- Computational Mathematics 7
- Computer Networks and Communications 170
Countries citing papers authored by Xiao Yu
This map shows the geographic impact of Xiao Yu'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 Xiao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Yu more than expected).
Fields of papers citing papers by Xiao Yu
This network shows the impact of papers produced by Xiao Yu. 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 Xiao Yu. The network helps show where Xiao Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiao Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 27 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 11 | |
| 13 | 2015 | 28 | |
| 14 | 2014 | 89 | |
| 15 | Personalized entity recommendationbreakdown → | 2014 | 472 |
| 16 | 2014 | 1 | |
| 17 | 2013 | 119 | |
| 18 | 2012 | 83 | |
| 19 | 2012 | 29 | |
| 20 | A Tax Assessment Model Based on Rough Set Theory and SVM Algorithms | 2009 | 3 |
About Xiao Yu
Xiao Yu is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Cryptography and Data Security (6 papers), Topic Modeling (5 papers), Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (5 papers), Cloud Data Security Solutions (4 papers), Text and Document Classification Technologies (4 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Information Systems (639 citations), Artificial Intelligence (863 citations) and Statistical and Nonlinear Physics (224 citations). Xiao Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiawei Han, Quanquan Gu, Yizhou Sun, Brandon Norick, Urvashi Khandelwal, Xiang Ren, Bradley Sturt, Mianwei Zhou, Xifeng Yan and Philip S. Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Materials Chemistry A and Nano Energy.
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.