Byron Choi
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Caching and Content Delivery
Papers in
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- Data Management and Algorithms 56
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- Graph Theory and Algorithms 42
- Data Visualization and Analytics 19
- Co-authors
- Jianliang XuSourav S. BhowmickHaibo HuYün PengShuigeng ZhouBingsheng HeCheng XuGuozhong Li
In The Last Decade
Byron Choi
122 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 74
- Signal Processing 629
- Computer Networks and Communications 656
- Artificial Intelligence 904
- Computer Vision and Pattern Recognition 480
- Information Systems 466
Countries citing papers authored by Byron Choi
This map shows the geographic impact of Byron Choi'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 Byron Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byron Choi more than expected).
Fields of papers citing papers by Byron Choi
This network shows the impact of papers produced by Byron Choi. 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 Byron Choi. The network helps show where Byron Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Byron Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 25 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 48 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 46 | |
| 13 | 2019 | 6 | |
| 14 | 2015 | 15 | |
| 15 | 2014 | 9 | |
| 16 | VOGUE: Towards a visual interaction-aware graph query processing framework | 2013 | 13 |
| 17 | prague: A Practical Framework for Blending Visual Subgraph Query Formulation and Query Processing | 2012 | 6 |
| 18 | A Quantitative Summary of XML Structures | 2006 | 1 |
| 19 | On the optimality of holistic algorithms for twig queries | 2003 | 1 |
| 20 | What are real DTDs like | 2002 | 68 |
About Byron Choi
Byron Choi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Transportation, having authored 126 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Management and Algorithms (56 papers), Graph Theory and Algorithms (42 papers), Advanced Database Systems and Queries (30 papers), Data Visualization and Analytics (19 papers), Advanced Graph Neural Networks (19 papers), Semantic Web and Ontologies (17 papers), Caching and Content Delivery (12 papers) and Privacy-Preserving Technologies in Data (12 papers). The work is most often cited by research in Signal Processing (629 citations), Computer Networks and Communications (656 citations), Artificial Intelligence (904 citations), Computer Vision and Pattern Recognition (480 citations) and Information Systems (466 citations). Byron Choi has collaborated with scholars based in Hong Kong, Singapore and China. Frequent co-authors include Jianliang Xu, Sourav S. Bhowmick, Haibo Hu, Yün Peng, Shuigeng Zhou, Bingsheng He, Cheng Xu, Guozhong Li, Grace Lai–Hung Wong and Wenfei Fan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, The VLDB Journal, Data Science and Engineering and IEEE Transactions on Services Computing.
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.