Ken Q. Pu

1.1k total citations
37 papers, 629 citations indexed

About

Ken Q. Pu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Ken Q. Pu has authored 37 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Computer Networks and Communications and 13 papers in Signal Processing. Recurrent topics in Ken Q. Pu's work include Advanced Database Systems and Queries (18 papers), Data Management and Algorithms (13 papers) and Semantic Web and Ontologies (11 papers). Ken Q. Pu is often cited by papers focused on Advanced Database Systems and Queries (18 papers), Data Management and Algorithms (13 papers) and Semantic Web and Ontologies (11 papers). Ken Q. Pu collaborates with scholars based in Canada, Iraq and United States. Ken Q. Pu's co-authors include Renée J. Miller, Erkang Zhu, Fatemeh Nargesian, Xiaohui Yu, Patricia C. Arocena, Ying Zhu, Yang Liu, Faisal Z. Qureshi, Alberto O. Mendelzon and Nick Koudas and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Ken Q. Pu

35 papers receiving 597 citations

Peers

Ken Q. Pu

AI

MSOR

CNC

IS

SP

Arild Waaler Norway

Sudip Roy United States

Miguel A. Martínez‐Prieto Spain

George Karabatis United States

Karin Breitman Brazil

Silvia Bianchi Brazil

Anton Riabov United States

Slobodanka Djordjević‐Kajan Serbia

Roger Barga United States

Achim Rettinger Germany

Arild Waaler Norway

Ken Q. Pu

331 ×1.0

AI

114 ×0.4

MSOR

136 ×0.5

CNC

124 ×0.6

IS

55 ×0.3

SP

Citations per year, relative to Ken Q. Pu Ken Q. Pu (= 1×) peers Arild Waaler

Countries citing papers authored by Ken Q. Pu

Since Specialization

Citations

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

Fields of papers citing papers by Ken Q. Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Q. Pu. 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 Ken Q. Pu. The network helps show where Ken Q. Pu may publish in the future.

Co-authorship network of co-authors of Ken Q. Pu

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

All Works

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20 of 20 papers shown

1.

Ma, Limin, et al.. (2025). Comparing Large Language Models for Generating Complex Queries. Journal of Computer and Communications. 13(2). 236–249. 1 indexed citations

2.

Pu, Ken Q., et al.. (2022). Neural Network Accelerated Tuple Search For Relational Data. 33. 81–82.

3.

Pu, Ken Q., et al.. (2020). NLP Relational Queries and Its Application. 3. 395–398. 2 indexed citations

4.

Zhu, Ying, et al.. (2019). Trusted relational databases with blockchain: design and optimization. Procedia Computer Science. 155. 137–144. 11 indexed citations

5.

Nargesian, Fatemeh, Erkang Zhu, Renée J. Miller, Ken Q. Pu, & Patricia C. Arocena. (2019). Data lake management. Proceedings of the VLDB Endowment. 12(12). 1986–1989. 124 indexed citations

6.

Nargesian, Fatemeh, et al.. (2018). Optimizing Organizations for Navigating Data Lakes.. arXiv (Cornell University). 1 indexed citations

7.

Miller, Renée J., et al.. (2018). Making Open Data Transparent: Data Discovery on Open Data.. IEEE Data(base) Engineering Bulletin. 41. 59–70. 22 indexed citations

8.

Zhu, Erkang, Ken Q. Pu, Fatemeh Nargesian, & Renée J. Miller. (2017). Interactive navigation of open data linkages. Proceedings of the VLDB Endowment. 10(12). 1837–1840. 16 indexed citations

9.

Pu, Ken Q., et al.. (2016). A Formal Algebra Implementation for Distributed Image and Video Stream Processing. 84–91. 3 indexed citations

10.

Liu, Yang, et al.. (2014). Scalable Distributed Processing of K Nearest Neighbor Queries over Moving Objects. IEEE Transactions on Knowledge and Data Engineering. 27(5). 1383–1396. 46 indexed citations

11.

Pu, Ken Q., et al.. (2014). A Stream Algebra for Computer Vision Pipelines. 6. 800–807. 4 indexed citations

12.

Pu, Ken Q., et al.. (2009). Visualization and Integration of Databases Using Self-Organizing Map. 10. 155–160. 4 indexed citations

13.

Zhu, Ying & Ken Q. Pu. (2008). Adaptive Multicast Tree Construction for Elastic Data Streams. 4. 1–5. 2 indexed citations

14.

Zhu, Ying, Baochun Li, & Ken Q. Pu. (2008). Dynamic Multicast in Overlay Networks with Linear Capacity Constraints. IEEE Transactions on Parallel and Distributed Systems. 20(7). 925–939. 9 indexed citations

15.

Pu, Ken Q. & Xiaohui Yu. (2008). Keyword query cleaning. Proceedings of the VLDB Endowment. 1(1). 909–920. 36 indexed citations

16.

Pu, Ken Q. & Ying Zhu. (2008). Modeling and synthesis of service composition using tree automata. 2910. 46–51. 1 indexed citations

17.

Pu, Ken Q. & Ying Zhu. (2007). Efficient Indexing of Heterogeneous Data Streams with Automatic Performance Configurations. 34–34. 3 indexed citations

18.

Pu, Ken Q., Vagelis Hristidis, & Nick Koudas. (2006). A Syntactic Rule Based Approach to Web Service Composition. 12 indexed citations

19.

Pu, Ken Q. & Alberto O. Mendelzon. (2005). Concise descriptions of subsets of structured sets. ACM Transactions on Database Systems. 30(1). 211–248. 10 indexed citations

20.

Mendelzon, Alberto O. & Ken Q. Pu. (2003). Concise descriptions of subsets of structured sets. 123–133. 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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