Xiaoou Ding

646 total citations
19 papers, 106 citations indexed

About

Xiaoou Ding is a scholar working on Management Science and Operations Research, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Xiaoou Ding has authored 19 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 9 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Xiaoou Ding's work include Data Quality and Management (13 papers), Advanced Database Systems and Queries (5 papers) and Time Series Analysis and Forecasting (5 papers). Xiaoou Ding is often cited by papers focused on Data Quality and Management (13 papers), Advanced Database Systems and Queries (5 papers) and Time Series Analysis and Forecasting (5 papers). Xiaoou Ding collaborates with scholars based in China, Spain and Australia. Xiaoou Ding's co-authors include Hongzhi Wang, Jianzhong Li, Hong Gao, Yida Liu, Yingze Li, Hong Gao, Jianmin Wang, Chen Wang, Donghua Yang and Hongzhi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

Xiaoou Ding

15 papers receiving 104 citations

Peers

Xiaoou Ding

MSOR

AI

IS

SP

CNC

Hazar Harmouch Germany

Alireza Rezaei Mahdiraji Germany

Frédéric Koriche France

Omar Boussaïd France

Basem Suleiman Australia

Alejandro Arbeláez Ireland

Merve Unuvar United States

Marcin Gorawski Poland

Laurent Perron United States

Saravan Rajmohan United States

Hazar Harmouch Germany

Xiaoou Ding

68 ×1.3

MSOR

74 ×1.6

AI

51 ×1.4

IS

40 ×1.5

SP

80 ×3.2

CNC

Citations per year, relative to Xiaoou Ding Xiaoou Ding (= 1×) peers Hazar Harmouch

Countries citing papers authored by Xiaoou Ding

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoou Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoou Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoou Ding. A scholar is included among the top collaborators of Xiaoou Ding 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 Xiaoou Ding. Xiaoou Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Ding, Xiaoou, et al.. (2025). UniClean: A Scalable Data Cleaning Solution for Mixed Errors Based on Unified Cleaners and Optimized Cleaning Workflow. Proceedings of the VLDB Endowment. 18(11). 4117–4130.

2.

Ding, Xiaoou, et al.. (2025). UniClean: A Multi-Signal Fusion Pipeline for Optimizing Data Cleaning Workflow. 4600–4603.

3.

Cui, Shuangshuang, Hongzhi Wang, Xianglong Liu, & Xiaoou Ding. (2025). TempSched: A Temperature-Aware Storage Scheduler for Time Series Across Cloud-Edge-Device. 946–958.

4.

Ding, Xiaoou, Mei Zhou, Yida Liu, et al.. (2025). A Survey on Data Asset Value Change Estimation and Appreciation with Data Governance. Big Data Mining and Analytics. 8(6). 1369–1387.

5.

Zheng, Liang, et al.. (2025). Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling. 2281–2294. 1 indexed citations

6.

Ding, Xiaoou, et al.. (2024). Efficient Relaxed Functional Dependency Discovery with Minimal Set Cover. 3519–3531. 3 indexed citations

7.

Ding, Xiaoou, Yingze Li, Hongzhi Wang, et al.. (2024). TSDDISCOVER: Discovering Data Dependency for Time Series Data. 3668–3681. 5 indexed citations

8.

Ding, Xiaoou, et al.. (2024). DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data. Proceedings of the VLDB Endowment. 17(11). 3484–3496. 1 indexed citations

9.

Ding, Xiaoou, et al.. (2024). Time Series Data Cleaning Under Expressive Constraints on Both Rows and Columns. 3682–3695. 3 indexed citations

10.

Ding, Xiaoou, et al.. (2024). MTSClean: Efficient Constraint-Based Cleaning for Multi-Dimensional Time Series Data. Proceedings of the VLDB Endowment. 17(13). 4840–4852. 3 indexed citations

11.

Ding, Xiaoou, et al.. (2024). Clean4TSDB: A Data Cleaning Tool for Time Series Databases. Proceedings of the VLDB Endowment. 17(12). 4377–4380. 8 indexed citations

12.

Ding, Xiaoou, et al.. (2022). IoT data cleaning techniques: A survey. SHILAP Revista de lepidopterología. 3(4). 325–339. 16 indexed citations

13.

Wang, Hongzhi, et al.. (2021). Industrial time series determinative anomaly detection based on constraint hypergraph. Knowledge-Based Systems. 233. 107548–107548. 10 indexed citations

14.

Ding, Xiaoou, et al.. (2020). Leveraging Currency for Repairing Inconsistent and Incomplete Data. IEEE Transactions on Knowledge and Data Engineering. 34(3). 1288–1302. 13 indexed citations

15.

Ding, Xiaoou, et al.. (2019). Cleanits. Proceedings of the VLDB Endowment. 12(12). 1786–1789. 24 indexed citations

16.

Wang, Hongzhi, Xiaoou Ding, Jianzhong Li, & Hong Gao. (2018). Rule-based Entity Resolution on Database with hidden temporal Information. IEEE Transactions on Knowledge and Data Engineering. 1–1. 11 indexed citations

17.

Ding, Xiaoou, et al.. (2017). Determining the currency of dynamic data. 1–6. 2 indexed citations

18.

Ding, Xiaoou, et al.. (2017). Efficient currency determination algorithms for dynamic data. Tsinghua Science & Technology. 22(3). 227–242. 5 indexed citations

19.

Wang, Hongzhi, et al.. (2017). CleanCloud. 2543–2546. 1 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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