Shumo Chu
Impact in
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- Complex Network Analysis Techniques
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 6
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- Scientific Computing and Data Management 5
- Co-authors
- James Cheng (5 shared papers)Yiping Ke (3 shared papers)M. TAMER ÖZSU (1 shared paper)Dan Suciu (5 shared papers)Linhong Zhu (1 shared paper)Magdalena Bałazińska (2 shared papers)Alvin Cheung (4 shared papers)Chenglong Wang (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (2 papers)ACM SIGPLAN Notices (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)DR-NTU (Nanyang Technological University) (1 paper)
- Partner nations
- United StatesSingaporeHong Kong
In The Last Decade
Shumo Chu
13 papers receiving 675 citations
Peers
Comparison fields: 5 of 38
- Statistical and Nonlinear Physics 271
- Signal Processing 197
- Computer Networks and Communications 335
- Computer Vision and Pattern Recognition 250
- Computational Theory and Mathematics 152
Countries citing papers authored by Shumo Chu
This map shows the geographic impact of Shumo 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 Shumo Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumo Chu more than expected).
Fields of papers citing papers by Shumo Chu
This network shows the impact of papers produced by Shumo 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 Shumo Chu. The network helps show where Shumo Chu may publish in the future.
Co-authors
The 23 scholars most cited alongside Shumo Chu, 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 | 2011 | 183 | |
| 2 | 2011 | 97 | |
| 3 | 2012 | 97 | |
| 4 | 2014 | 61 | |
| 5 | 2015 | 57 | |
| 6 | 2012 | 49 | |
| 7 | 2012 | 40 | |
| 8 | Cosette: An Automated Prover for SQL. | 2017 | 32 |
| 9 | 2018 | 32 | |
| 10 | 2017 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2022 | 6 | |
| 13 | 2002 | 4 | |
| 14 | 2021 | 0 |
About Shumo Chu
Shumo Chu is a scholar working on Computer Networks and Communications, Information Systems and Management, Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 14 papers that have together received 689 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Scientific Computing and Data Management (5 papers), Complex Network Analysis Techniques (3 papers), Graph Theory and Algorithms (3 papers), Data Management and Algorithms (2 papers), Cloud Computing and Resource Management (2 papers), Topological and Geometric Data Analysis (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (271 citations), Signal Processing (197 citations), Computer Networks and Communications (335 citations), Computer Vision and Pattern Recognition (250 citations) and Computational Theory and Mathematics (152 citations). Shumo Chu has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include James Cheng, Yiping Ke, M. TAMER ÖZSU, Dan Suciu, Linhong Zhu, Magdalena Bałazińska, Alvin Cheung, Chenglong Wang, Jared Roesch and Shengliang Xu. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices, ACM Transactions on Knowledge Discovery from Data, DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) and DR-NTU (Nanyang Technological University).
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.