Xiaokui Xiao

15.6k total citations · 3 hit papers
199 papers, 9.6k citations indexed

About

Xiaokui Xiao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Xiaokui Xiao has authored 199 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 50 papers in Computer Networks and Communications and 47 papers in Signal Processing. Recurrent topics in Xiaokui Xiao's work include Privacy-Preserving Technologies in Data (71 papers), Data Management and Algorithms (45 papers) and Cryptography and Data Security (42 papers). Xiaokui Xiao is often cited by papers focused on Privacy-Preserving Technologies in Data (71 papers), Data Management and Algorithms (45 papers) and Cryptography and Data Security (42 papers). Xiaokui Xiao collaborates with scholars based in Singapore, China and Hong Kong. Xiaokui Xiao's co-authors include Yufei Tao, Youze Tang, Yanchen Shi, Yin Yang, Johannes Gehrke, Jun Zhang, Guozhang Wang, Wenya Wang, Daniel Dahlmeier and Sinno Jialin Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Information Sciences.

In The Last Decade

Xiaokui Xiao

194 papers receiving 9.2k citations

Hit Papers

Influence Maximization in Near-Linear Time 2014 2026 2018 2022 2015 2014 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaokui Xiao Singapore 53 6.2k 1.9k 1.7k 1.7k 1.7k 199 9.6k
Francesco Bonchi Italy 42 3.1k 0.5× 870 0.5× 1.8k 1.1× 1.2k 0.7× 1.0k 0.6× 188 6.8k
Wolfgang Nejdl Germany 45 4.2k 0.7× 921 0.5× 4.2k 2.5× 2.3k 1.4× 862 0.5× 347 8.4k
Wanlei Zhou Australia 54 5.1k 0.8× 1.1k 0.6× 2.7k 1.6× 5.0k 3.0× 2.1k 1.2× 457 9.7k
Aixin Sun Singapore 45 4.9k 0.8× 678 0.4× 3.7k 2.2× 836 0.5× 854 0.5× 223 8.7k
Ben Y. Zhao United States 58 4.1k 0.7× 1.7k 0.9× 3.8k 2.2× 9.9k 5.9× 1.3k 0.8× 227 15.5k
Graham Cormode United States 49 5.4k 0.9× 977 0.5× 1.3k 0.8× 4.0k 2.4× 2.3k 1.4× 178 8.4k
Frank McSherry United States 33 4.2k 0.7× 1.1k 0.6× 1.2k 0.7× 1.2k 0.7× 427 0.3× 62 5.9k
Cynthia Dwork United States 46 11.5k 1.9× 2.6k 1.4× 2.1k 1.3× 3.6k 2.1× 600 0.4× 129 16.0k
Kian‐Lee Tan Singapore 49 3.5k 0.6× 615 0.3× 2.9k 1.7× 4.9k 2.9× 4.0k 2.4× 392 11.0k
Ravi Kumar United States 42 3.5k 0.6× 393 0.2× 1.6k 0.9× 1.5k 0.9× 1.2k 0.7× 147 6.6k

Countries citing papers authored by Xiaokui Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokui Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokui Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokui Xiao. A scholar is included among the top collaborators of Xiaokui Xiao 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 Xiaokui Xiao. Xiaokui Xiao 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.
Huang, Keke, et al.. (2024). Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. 2660–2671. 1 indexed citations
2.
Zhu, Yizheng, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, & Xiaokui Xiao. (2024). Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. Proceedings of the VLDB Endowment. 17(9). 2321–2334. 5 indexed citations
3.
Xiao, Xiaokui, et al.. (2024). AAA: An Adaptive Mechanism for Locally Differentially Private Mean Estimation. Proceedings of the VLDB Endowment. 17(8). 1843–1855. 1 indexed citations
4.
Huang, Keke, et al.. (2024). Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. IRIS Research product catalog (Sapienza University of Rome). 1057–1068. 2 indexed citations
5.
Jaidka, Kokil, Tsuhan Chen, Simon Chesterman, et al.. (2024). Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy. Digital Government Research and Practice. 6(1). 1–15. 7 indexed citations
6.
Zhang, Shiqi, et al.. (2024). Information Diffusion Meets Invitation Mechanism. 383–392. 4 indexed citations
7.
Zhang, Shiqi, Renchi Yang, Xiaokui Xiao, Xiao Yan, & Bo Tang. (2023). Effective and Efficient PageRank-based Positioning for Graph Visualization. Proceedings of the ACM on Management of Data. 1(1). 1–27. 4 indexed citations
8.
Zhang, Shiqi, Renchi Yang, Jing Tang, Xiaokui Xiao, & Bo Tang. (2023). Efficient Approximation Algorithms for Spanning Centrality. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3386–3395. 4 indexed citations
9.
Xiao, Xiaokui, et al.. (2023). SeRaNDiP. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(2). 1–38. 5 indexed citations
10.
Huang, Keke, et al.. (2023). Node-wise Diffusion for Scalable Graph Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1723–1733. 14 indexed citations
11.
Zhang, Shiqi, et al.. (2023). Capacity Constrained Influence Maximization in Social Networks. arXiv (Cornell University). 3376–3385. 9 indexed citations
12.
Xiao, Xiaokui, et al.. (2023). PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. Proceedings of the ACM on Management of Data. 1(2). 1–25. 9 indexed citations
13.
Tang, Jing, et al.. (2021). Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5065–5073. 5 indexed citations
14.
Loghin, Dumitrel, Shaofeng Cai, Gang Chen, et al.. (2020). The Disruptions of 5G on Data-Driven Technologies and Applications. IEEE Transactions on Knowledge and Data Engineering. 32(6). 1179–1198. 67 indexed citations
15.
Huang, Keke, Jing Tang, Kai Han, et al.. (2020). Efficient approximation algorithms for adaptive influence maximization. The VLDB Journal. 29(6). 1385–1406. 33 indexed citations
16.
Luo, Siqiang, Xiaokui Xiao, Wenqing Lin, & Ben Kao. (2019). BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy. IEEE Transactions on Knowledge and Data Engineering. 32(10). 1897–1908. 12 indexed citations
17.
Wang, Ning, Xiaokui Xiao, Yin Yang, et al.. (2018). PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy. 821–832. 56 indexed citations
18.
Zhang, Jun, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, & Xiaokui Xiao. (2017). PrivBayes. ACM Transactions on Database Systems. 42(4). 1–41. 212 indexed citations
19.
Lin, Wenqing, Xiaokui Xiao, Xing Xie, & Xiaoli Li. (2016). Network Motif Discovery: A GPU Approach. IEEE Transactions on Knowledge and Data Engineering. 29(3). 513–528. 41 indexed citations
20.
Xiao, Xiaokui & Yufei Tao. (2006). Anatomy: simple and effective privacy preservation. Very Large Data Bases. 139–150. 435 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026