Senqiang Zhou

562 total citations
6 papers, 302 citations indexed

About

Senqiang Zhou is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Senqiang Zhou has authored 6 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Senqiang Zhou's work include Data Mining Algorithms and Applications (6 papers), Imbalanced Data Classification Techniques (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Senqiang Zhou is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Imbalanced Data Classification Techniques (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Senqiang Zhou collaborates with scholars based in Canada, Singapore and Hong Kong. Senqiang Zhou's co-authors include Yu He, Ke Wang, Ke Wang, Qiang Yang, Ke Wang, Jeffrey Xu Yu, Ke Wang and Ke Wang and has published in prestigious journals such as Data Mining and Knowledge Discovery and Very Large Data Bases.

In The Last Decade

Senqiang Zhou

6 papers receiving 274 citations

Peers

Senqiang Zhou

IS

AI

CTM

SP

MARKE

Branko Kavšek Slovenia

Tom Khabaza United States

Antonio Gomariz Spain

Ted Gueniche Canada

Tharam S. Dillon Australia

Gerald Kowalski United States

Heidar Davoudi Canada

Aaron Ceglar Australia

Cane Wing-ki Leung Hong Kong

Francesca A. Lisi Italy

Branko Kavšek Slovenia

Senqiang Zhou

223 ×1.2

IS

213 ×1.2

AI

93 ×1.2

CTM

55 ×1.2

SP

7 ×0.2

MARKE

Citations per year, relative to Senqiang Zhou Senqiang Zhou (= 1×) peers Branko Kavšek

Countries citing papers authored by Senqiang Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Senqiang Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senqiang Zhou

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

All Works

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6 of 6 papers shown

1.

Zhou, Senqiang, et al.. (2005). Mining Customer Value: From Association Rules to Direct Marketing. Data Mining and Knowledge Discovery. 11(1). 57–79. 69 indexed citations

2.

Wang, Ke, et al.. (2004). Mining customer value: from association rules to direct marketing. 738–740. 11 indexed citations

3.

Wang, Ke, et al.. (2003). Mining Changes of Classification by Correspondence Tracing. 29 indexed citations

4.

Wang, Ke, Senqiang Zhou, & Yu He. (2001). Hierarchical Classification of Real Life Documents. 1–16. 37 indexed citations

5.

Wang, Ke, Senqiang Zhou, & Yu He. (2000). Growing decision trees on support-less association rules. 265–269. 71 indexed citations

6.

Wang, Ke, et al.. (1999). Building Hierarchical Classifiers Using Class Proximity. Very Large Data Bases. 363–374. 85 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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