Ming-Chuan Wu

1000 total citations
24 papers, 562 citations indexed

About

Ming-Chuan Wu is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ming-Chuan Wu has authored 24 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 9 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Ming-Chuan Wu's work include Advanced Database Systems and Queries (9 papers), Cloud Computing and Resource Management (5 papers) and Data Management and Algorithms (5 papers). Ming-Chuan Wu is often cited by papers focused on Advanced Database Systems and Queries (9 papers), Cloud Computing and Resource Management (5 papers) and Data Management and Algorithms (5 papers). Ming-Chuan Wu collaborates with scholars based in China, United States and Taiwan. Ming-Chuan Wu's co-authors include Nicolas Bruno, Alejandro Buchmann, Srikanth Kandula, Jingren Zhou, Sameer Agarwal, Ion Stoica, Per-Åke Larson, Jingren Zhou, Ronnie Chaiken and YongChul Kwon and has published in prestigious journals such as Optics Letters, Proceedings of the VLDB Endowment and Journal of Consumer Marketing.

In The Last Decade

Ming-Chuan Wu

24 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming-Chuan Wu China 12 378 318 158 143 97 24 562
Immanuel Trummer United States 16 250 0.7× 203 0.6× 127 0.8× 354 2.5× 68 0.7× 65 603
Ripduman Sohan United Kingdom 10 504 1.3× 559 1.8× 252 1.6× 221 1.5× 21 0.2× 28 824
Nikolai Joukov United States 15 541 1.4× 308 1.0× 31 0.2× 103 0.7× 40 0.4× 33 691
Peter Gutmann New Zealand 11 298 0.8× 345 1.1× 207 1.3× 402 2.8× 117 1.2× 29 734
Roxana Geambasu United States 14 351 0.9× 362 1.1× 130 0.8× 324 2.3× 38 0.4× 28 645
Jeff Mogul United States 6 519 1.4× 353 1.1× 59 0.4× 123 0.9× 50 0.5× 8 664
Shlomo Hershkop United States 13 433 1.1× 348 1.1× 212 1.3× 388 2.7× 40 0.4× 24 708
Aws Albarghouthi United States 15 114 0.3× 159 0.5× 59 0.4× 317 2.2× 36 0.4× 41 548
Matteo Dell’Amico France 13 337 0.9× 469 1.5× 328 2.1× 202 1.4× 45 0.5× 39 780
Gregory Chockler Israel 17 1.1k 3.0× 447 1.4× 33 0.2× 137 1.0× 36 0.4× 53 1.3k

Countries citing papers authored by Ming-Chuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Chuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chuan Wu. 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 Ming-Chuan Wu. The network helps show where Ming-Chuan Wu may publish in the future.

Co-authorship network of co-authors of Ming-Chuan Wu

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

All Works

20 of 20 papers shown
1.
Shang, Honghui, Yunquan Zhang, Ying Liu, et al.. (2021). Accelerating all-electron ab initio simulation of raman spectra for biological systems. 1–15. 3 indexed citations
2.
Wu, Ming-Chuan, et al.. (2020). The New Engineering Education in China. Procedia Computer Science. 172. 886–895. 12 indexed citations
3.
Agrawal, Pulkit, et al.. (2019). Data Platform for Machine Learning. 1803–1816. 17 indexed citations
4.
5.
6.
Guo, Xiaomin, et al.. (2018). Enhancing Extractable Quantum Entropy in Vacuum-Based Quantum Random Number Generator. Entropy. 20(11). 819–819. 15 indexed citations
7.
Lee, Yikuan, Foo Nin Ho, & Ming-Chuan Wu. (2017). How do form and functional newness affect adoption preference? The moderating role of consumer need for uniqueness. Journal of Consumer Marketing. 35(1). 79–90. 23 indexed citations
8.
Bruno, Nicolas, YongChul Kwon, & Ming-Chuan Wu. (2014). Advanced join strategies for large-scale distributed computation. Proceedings of the VLDB Endowment. 7(13). 1484–1495. 32 indexed citations
9.
Wu, Ming-Chuan, et al.. (2012). Behavioral Modeling and EMI Analysis for Secondary Surveillance Radar System. 2300–2303. 2 indexed citations
10.
Agarwal, Sameer, Srikanth Kandula, Nicolas Bruno, et al.. (2012). Re-optimizing data-parallel computing. UC Berkeley. 21–21. 129 indexed citations
11.
Zhou, Jingren, et al.. (2012). SCOPE: parallel databases meet MapReduce. The VLDB Journal. 21(5). 611–636. 106 indexed citations
12.
Wu, Ming-Chuan, et al.. (2012). Scope playback. 1–6. 3 indexed citations
13.
Bruno, Nicolas, Sameer Agarwal, Srikanth Kandula, et al.. (2012). Recurring job optimization in scope. 805–806. 22 indexed citations
14.
Chung, Yu‐Chi, et al.. (2011). A Hot Query Bank approach to improve detection performance against SQL injection attacks. Computers & Security. 31(2). 233–248. 7 indexed citations
15.
Wu, Ming-Chuan, et al.. (2010). Analysis and research maximum power point tracking of photovoltaic array. 196–200. 7 indexed citations
16.
Blakeley, José A., et al.. (2005). Distributed/Heterogeneous Query Processing in Microsoft SQL Server. se 11. 1001–1012. 6 indexed citations
17.
Wu, Ming-Chuan & Alejandro Buchmann. (2002). Encoded bitmap indexing for data warehouses. 220–230. 75 indexed citations
18.
Wu, Ming-Chuan. (2001). Encoded Bitmap Indexes and Their Use for Data Warehouse Optimization. 3 indexed citations
19.
Wu, Ming-Chuan. (1999). Query optimization for selections using bitmaps. 227–238. 18 indexed citations
20.
Wu, Ming-Chuan. (1999). Query optimization for selections using bitmaps. ACM SIGMOD Record. 28(2). 227–238. 37 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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