Xuanhe Zhou

1.3k total citations
35 papers, 749 citations indexed

About

Xuanhe Zhou is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Xuanhe Zhou has authored 35 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Xuanhe Zhou's work include Advanced Database Systems and Queries (17 papers), Data Stream Mining Techniques (14 papers) and Data Management and Algorithms (10 papers). Xuanhe Zhou is often cited by papers focused on Advanced Database Systems and Queries (17 papers), Data Stream Mining Techniques (14 papers) and Data Management and Algorithms (10 papers). Xuanhe Zhou collaborates with scholars based in China, Canada and United States. Xuanhe Zhou's co-authors include Guoliang Li, Shifu Li, Ji Sun, Chengliang Chai, Lei Cao, Jianhua Feng, Guoliang Li, Tianqing Wang, Xiang Yu and Yue Han and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Data Science and Engineering.

In The Last Decade

Xuanhe Zhou

29 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuanhe Zhou China 16 439 418 274 240 85 35 749
Ryan Marcus United States 15 568 1.3× 413 1.0× 293 1.1× 408 1.7× 105 1.2× 34 868
Dana Van Aken United States 9 640 1.5× 308 0.7× 443 1.6× 174 0.7× 59 0.7× 10 809
Parimarjan Negi United States 11 388 0.9× 246 0.6× 203 0.7× 263 1.1× 57 0.7× 13 567
Mohamed Zaït United States 13 392 0.9× 220 0.5× 205 0.7× 371 1.5× 38 0.4× 25 630
Tyler Akidau United States 4 599 1.4× 217 0.5× 426 1.6× 154 0.6× 24 0.3× 7 684
Carl-Christian Kanne Germany 9 420 1.0× 227 0.5× 181 0.7× 213 0.9× 25 0.3× 27 529
Matteo Migliavacca United Kingdom 13 707 1.6× 226 0.5× 408 1.5× 182 0.8× 20 0.2× 32 825
Ji Sun China 11 353 0.8× 308 0.7× 172 0.6× 252 1.1× 83 1.0× 17 549
D Mills United States 3 593 1.4× 216 0.5× 421 1.5× 153 0.6× 24 0.3× 5 679
Paolo Guagliardo United Kingdom 8 195 0.4× 240 0.6× 70 0.3× 107 0.4× 54 0.6× 25 410

Countries citing papers authored by Xuanhe Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xuanhe Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanhe Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xuanhe Zhou. A scholar is included among the top collaborators of Xuanhe Zhou 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 Xuanhe Zhou. Xuanhe Zhou 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.
Tang, Zhen‐Xing, et al.. (2025). ST-Raptor: LLM-Powered Semi-Structured Table Question Answering. Proceedings of the ACM on Management of Data. 3(6). 1–27.
2.
Gao, Y., et al.. (2025). Cracking SQL Barriers: An LLM-based Dialect Translation System. Proceedings of the ACM on Management of Data. 3(3). 1–26. 1 indexed citations
3.
Wu, Yang, Xuanhe Zhou, Yong Zhang, & Guoliang Li. (2024). Automatic Index Tuning: A Survey. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7657–7676. 3 indexed citations
4.
Zhou, Wei, Chen Lin, Xuanhe Zhou, & Guoliang Li. (2024). Breaking It Down: An In-Depth Study of Index Advisors. Proceedings of the VLDB Endowment. 17(10). 2405–2418. 3 indexed citations
5.
6.
Zhou, Xuanhe, Guoliang Li, Zhiyuan Liu, et al.. (2024). D-Bot: Database Diagnosis System using Large Language Models. Proceedings of the VLDB Endowment. 17(10). 2514–2527. 15 indexed citations
7.
Lin, Chen, et al.. (2024). Robustness of Updatable Learning-based Index Advisors against Poisoning Attack. Proceedings of the ACM on Management of Data. 2(1). 1–26.
8.
Zhou, Xuanhe, et al.. (2024). Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs. Proceedings of the VLDB Endowment. 17(12). 4481–4484. 8 indexed citations
9.
Li, Guoliang, et al.. (2024). LLM for Data Management. Proceedings of the VLDB Endowment. 17(12). 4213–4216. 9 indexed citations
10.
Zhou, Xuanhe, et al.. (2024). DB-GPT: Large Language Model Meets Database. Data Science and Engineering. 9(1). 102–111. 29 indexed citations
11.
12.
13.
Zhou, Xuanhe, Chengliang Chai, Guoliang Li, & Ji Sun. (2023). Database Meets Artificial Intelligence: A Survey (Extended Abstract). 3901–3902. 1 indexed citations
14.
Zhou, Xuanhe, et al.. (2023). Learned Index: A Comprehensive Experimental Evaluation. Proceedings of the VLDB Endowment. 16(8). 1992–2004. 33 indexed citations
15.
Zhou, Xuanhe, Luyang Liu, Wenbo Li, et al.. (2022). AutoIndex: An Incremental Index Management System for Dynamic Workloads. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 2196–2208. 22 indexed citations
16.
Li, Guoliang & Xuanhe Zhou. (2022). Machine Learning for Data Management: A System View. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3198–3201. 7 indexed citations
17.
Li, Guoliang, Xuanhe Zhou, & Lei Cao. (2021). Machine learning for databases. Proceedings of the VLDB Endowment. 14(12). 3190–3193. 24 indexed citations
18.
Zhou, Xuanhe, Ji Sun, Guoliang Li, & Jianhua Feng. (2020). Query performance prediction for concurrent queries using graph embedding. Proceedings of the VLDB Endowment. 13(9). 1416–1428. 61 indexed citations
19.
Zhou, Xuanhe, Chengliang Chai, Guoliang Li, & Ji Sun. (2020). Database Meets Artificial Intelligence: A Survey. IEEE Transactions on Knowledge and Data Engineering. 34(3). 1096–1116. 96 indexed citations
20.
Li, Guoliang, et al.. (2019). XuanYuan: An AI-Native Database.. IEEE Data(base) Engineering Bulletin. 42. 70–81. 21 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.

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