Xu Chu

1.1k total citations
29 papers, 601 citations indexed

About

Xu Chu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Xu Chu has authored 29 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 7 papers in Information Systems. Recurrent topics in Xu Chu's work include Data Quality and Management (10 papers), Data Mining Algorithms and Applications (4 papers) and Machine Learning and Data Classification (4 papers). Xu Chu is often cited by papers focused on Data Quality and Management (10 papers), Data Mining Algorithms and Applications (4 papers) and Machine Learning and Data Classification (4 papers). Xu Chu collaborates with scholars based in United States, China and Canada. Xu Chu's co-authors include Ihab F. Ilyas, Paolo Papotti, Ke Wang, Bing Liu, Yeye He, Kris Ganjam, Abolfazl Asudeh, Shamkant B. Navathe, Hantian Zhang and Kaushik Chakrabarti and has published in prestigious journals such as International Journal of Electrical Power & Energy Systems, Frontiers in Endocrinology and Proceedings of the VLDB Endowment.

In The Last Decade

Xu Chu

29 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Chu United States 11 367 277 228 134 121 29 601
Martin Giese Norway 10 290 0.8× 101 0.4× 116 0.5× 131 1.0× 56 0.5× 38 390
Mick Ridley United Kingdom 11 133 0.4× 72 0.3× 160 0.7× 96 0.7× 54 0.4× 46 349
Erkang Zhu Canada 10 319 0.9× 368 1.3× 163 0.7× 217 1.6× 133 1.1× 18 599
Jeff Naughton United States 13 432 1.2× 202 0.7× 187 0.8× 387 2.9× 185 1.5× 17 683
Arvid Heise Germany 10 213 0.6× 170 0.6× 271 1.2× 262 2.0× 72 0.6× 12 502
Prasang Upadhyaya United States 11 244 0.7× 136 0.5× 222 1.0× 218 1.6× 35 0.3× 16 473
Sam Lightstone United States 16 203 0.6× 41 0.1× 413 1.8× 662 4.9× 193 1.6× 35 833
Johann-Christoph Freytag Germany 14 274 0.7× 129 0.5× 313 1.4× 387 2.9× 155 1.3× 40 700
Sudeepa Roy United States 15 417 1.1× 187 0.7× 177 0.8× 266 2.0× 136 1.1× 61 751
Xibei Jia United Kingdom 9 601 1.6× 748 2.7× 388 1.7× 433 3.2× 192 1.6× 12 980

Countries citing papers authored by Xu Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xu Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Chu. A scholar is included among the top collaborators of Xu Chu 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 Xu Chu. Xu Chu 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.
Chu, Xu, et al.. (2025). Research on the diagnosis method of grounding grid conductor integrity based on blind source separation algorithm and grey relational analysis. International Journal of Electrical Power & Energy Systems. 166. 110570–110570. 1 indexed citations
2.
Zheng, Yan, Xu Chu, & Yan Jin. (2024). The role of exosomes in the pathogenesis and management of diabetic kidney disease: a systematic review and meta-analysis. Frontiers in Endocrinology. 15. 1398382–1398382. 3 indexed citations
3.
Chu, Xu, et al.. (2024). TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. 1266–1279. 1 indexed citations
4.
Chu, Xu, et al.. (2024). SketchQL Demonstration: Zero-Shot Video Moment Querying with Sketches. Proceedings of the VLDB Endowment. 17(12). 4429–4432. 1 indexed citations
5.
Chu, Xu, et al.. (2024). SketchQL: Video Moment Querying with a Visual Query Interface. Proceedings of the ACM on Management of Data. 2(4). 1–27. 1 indexed citations
6.
Zhang, Hantian, et al.. (2023). iFlipper: Label Flipping for Individual Fairness. Proceedings of the ACM on Management of Data. 1(1). 1–26. 3 indexed citations
7.
Zhang, Yong, et al.. (2023). A Hybrid Discrete Artificial Bee Colony Algorithm Based on Label Similarity for Solving Point-Feature Label Placement Problem. ISPRS International Journal of Geo-Information. 12(10). 429–429. 2 indexed citations
8.
Chu, Xu, et al.. (2023). Ground Truth Inference for Weakly Supervised Entity Matching. Proceedings of the ACM on Management of Data. 1(1). 1–28. 3 indexed citations
9.
Wang, Zhenkun & Xu Chu. (2022). Research on Financing of Green Bonds Issued by Power Industry. IOP Conference Series Earth and Environmental Science. 966(1). 12018–12018. 3 indexed citations
10.
Peng, Li, et al.. (2022). A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 2. 1219–1231. 2 indexed citations
11.
Li, Peng, Xiang Cheng, Xu Chu, Yeye He, & Surajit Chaudhuri. (2021). Auto-FuzzyJoin. 1064–1076. 16 indexed citations
12.
Chu, Xu, et al.. (2021). FairRover. 1–10. 4 indexed citations
13.
Zhang, Hantian, Xu Chu, Abolfazl Asudeh, & Shamkant B. Navathe. (2021). OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. 2076–2088. 22 indexed citations
14.
Ilyas, Ihab F. & Xu Chu. (2019). Data Cleaning. 24 indexed citations
15.
He, Yeye, Kris Ganjam, Yue Wang, et al.. (2018). Transform-Data-by-Example (TDE). 1785–1788. 13 indexed citations
16.
Ilyas, Ihab F. & Xu Chu. (2015). Trends in Cleaning Relational Data: Consistency and Deduplication. 5(4). 281–393. 75 indexed citations
17.
Chu, Xu. (2014). Emission Inventory Prediction of Short Chain Chlorinated Paraffins(SCCPs) in China. Beijing Daxue xuebao. Ziran kexue ban. 30 indexed citations
18.
Chu, Xu, Ihab F. Ilyas, & Paolo Papotti. (2013). Holistic data cleaning: Putting violations into context. 458–469. 187 indexed citations
19.
Chu, Xu. (2013). Universities' Patents, Technology Transfer and Firms' Innovation in China: Based on the Accumulation Innovation. Science of Science and Management of S.& T. 1 indexed citations
20.
Chu, Xu, et al.. (2012). [Drug resistance and molecular epidemiology of Shigella isolated from children with diarrhea].. PubMed. 50(10). 777–81. 3 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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