Hung Q. Ngo

3.6k total citations
86 papers, 1.4k citations indexed

About

Hung Q. Ngo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Hung Q. Ngo has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 37 papers in Computer Networks and Communications and 28 papers in Signal Processing. Recurrent topics in Hung Q. Ngo's work include Data Management and Algorithms (19 papers), Advanced Database Systems and Queries (16 papers) and Semantic Web and Ontologies (8 papers). Hung Q. Ngo is often cited by papers focused on Data Management and Algorithms (19 papers), Advanced Database Systems and Queries (16 papers) and Semantic Web and Ontologies (8 papers). Hung Q. Ngo collaborates with scholars based in United States, Vietnam and United Kingdom. Hung Q. Ngo's co-authors include Atri Rudra, Mahmoud Abo Khamis, Christopher Ré, Joy Ghosh, Dan Olteanu, Shambhu Upadhyaya, XuanLong Nguyen, Maximilian Schleich, Aidong Zhang and R. Chinchani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Communications of the ACM.

In The Last Decade

Hung Q. Ngo

81 papers receiving 1.4k citations

Peers

Hung Q. Ngo

CNC

CVPR

B. Aditya Prakash United States

Clara Pizzuti Italy

Evimaria Terzi United States

Balaraman Ravindran India

Dawei Zhao China

Stephen Kobourov United States

Qing Wang China

Ghulam Mujtaba Pakistan

Dipankar Dasgupta United States

Xiao Huang Hong Kong

B. Aditya Prakash United States

Hung Q. Ngo

627 ×1.0

459 ×0.9

CNC

255 ×0.7

126 ×0.4

CVPR

318 ×1.4

Citations per year, relative to Hung Q. Ngo Hung Q. Ngo (= 1×) peers B. Aditya Prakash

Countries citing papers authored by Hung Q. Ngo

Since Specialization

Citations

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

Fields of papers citing papers by Hung Q. Ngo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung Q. Ngo

This figure shows the co-authorship network connecting the top 25 collaborators of Hung Q. Ngo. A scholar is included among the top collaborators of Hung Q. Ngo 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 Hung Q. Ngo. Hung Q. Ngo 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

Ngo, Hung Q., et al.. (2024). Understanding the Nature of the Transnational Scam-Related Fraud: Challenges and Solutions from Vietnam’s Perspective. SHILAP Revista de lepidopterología. 13(6). 70–70. 1 indexed citations

Khamis, Mahmoud Abo, Phokion G. Kolaitis, Hung Q. Ngo, & Dan Suciu. (2020). Decision Problems in Information Theory. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

Ngo, Hung Q., et al.. (2020). Learning models over relational data using sparse tensors and functional dependencies. Oxford University Research Archive (ORA) (University of Oxford). 27 indexed citations

Khamis, Mahmoud Abo, Hung Q. Ngo, Dan Olteanu, & Dan Suciu. (2019). Boolean Tensor Decomposition for Conjunctive Queries with Negation. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 8 indexed citations

Kara, Ahmet, et al.. (2019). Counting Triangles under Updates in Worst-Case Optimal Time. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 9 indexed citations

Doan, Son, Hung Q. Ngo, Ai Kawazoe, & Nigel Collier. (2019). Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases. arXiv (Cornell University). 951–956. 6 indexed citations

Khamis, Mahmoud Abo, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, & Maximilian Schleich. (2017). In-Database Learning with Sparse Tensors. arXiv (Cornell University). 3 indexed citations

Ngo, Hung Q., et al.. (2017). In-Database Factorized Learning.. Oxford University Research Archive (ORA) (University of Oxford). 1912. 1 indexed citations

Ngo, Hung Q., et al.. (2014). Monte carlo bayesian hierarchical reinforcement learning. Adaptive Agents and Multi-Agents Systems. 1551–1552. 5 indexed citations

10.

Khamis, Mahmoud Abo, Hung Q. Ngo, Christopher Ré, & Atri Rudra. (2014). A Resolution-based Framework for Joins: Worst-case and Beyond. arXiv (Cornell University). 1 indexed citations

11.

Ngo, Hung Q., et al.. (2014). Efficient Interactive Multiclass Learning from Binary Feedback. ACM Transactions on Interactive Intelligent Systems. 4(3). 1–25. 6 indexed citations

12.

Vien, Ngo Anh, Hung Q. Ngo, Sungyoung Lee, & TaeChoong Chung. (2014). Approximate planning for bayesian hierarchical reinforcement learning. Applied Intelligence. 41(3). 808–819. 9 indexed citations

13.

Besprozvannykh, Vladimir V., et al.. (2013). Descriptions of digenean parasites from three snail species, Bithynia fuchsiana (Morelet), Parafossarulus striatulus Benson and Melanoides tuberculata Müller, in North Vietnam. Helminthologia. 50(3). 190–204. 32 indexed citations

14.

Ngo, Hung Q., Matthew Luciw, Ngo Anh Vien, & Jürgen Schmidhuber. (2013). Upper confidence weighted learning for efficient exploration in multiclass prediction with binary feedback. Research Portal (Queen's University Belfast). 2488–2494. 3 indexed citations

15.

Ngo, Hung Q., Dung T. Nguyen, Christopher Ré, & Atri Rudra. (2013). Removing the Haystack to Find the Needle(s): Minesweeper, an adaptive join algorithm. arXiv (Cornell University). 1 indexed citations

16.

Ngo, Hung Q., Dung T. Nguyen, Christopher Ré, & Atri Rudra. (2013). Towards Instance Optimal Join Algorithms for Data in Indexes. arXiv (Cornell University). 1 indexed citations

17.

Ngo, Hung Q.. (2012). Automatic Searching for English-Vietnamese Documents on the Internet. International Conference on Computational Linguistics. 211–220. 2 indexed citations

18.

Indyk, Piotr, Hung Q. Ngo, & Atri Rudra. (2010). Efficiently Decodable Non-adaptive Group Testing. 1126–1142. 43 indexed citations

19.

Upadhyaya, Shambhu, et al.. (2008). Insider abuse comprehension through capability acquisition graphs. International Conference on Information Fusion. 1–8. 8 indexed citations

20.

Ngo, Hung Q., et al.. (2005). A comprehensive middleware architecture for context-aware ubiquitous computing systems. 251–256. 8 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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