Qingyu Meng
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Computational Mechanics top 10%
- Materials Chemistry
- Mechanics of Materials
- Co-authors
- Martin BerzinsJustin LuitjensTodd HarmanCharles A. WightJ.R. PetersonJohn A. SchmidtScott BardenhagenZvonimir Rakamarić
- Topics
- Parallel Computing and Optimization Techniques (14 papers)Distributed and Parallel Computing Systems (9 papers)Fluid Dynamics Simulations and Interactions (5 papers)
- Cited by
- Hardware and ArchitectureComputer Graphics and Computer-Aided DesignComputer Networks and Communications
- Journals
- SIAM Journal on Scientific ComputingComputing in Science & EngineeringConcurrency and Computation Practice and Experience
- Partner nations
- United States
In The Last Decade
Qingyu Meng
17 papers receiving 267 citations
Peers
Comparison fields: 5 of 41
- Hardware and Architecture 155
- Computer Networks and Communications 150
- Computational Mechanics 68
- Materials Chemistry 39
- Mechanics of Materials 30
Countries citing papers authored by Qingyu Meng
This map shows the geographic impact of Qingyu Meng'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 Qingyu Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyu Meng more than expected).
Fields of papers citing papers by Qingyu Meng
This network shows the impact of papers produced by Qingyu Meng. 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 Qingyu Meng. The network helps show where Qingyu Meng may publish in the future.
Co-authorship network of co-authors of Qingyu Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Qingyu Meng. A scholar is included among the top collaborators of Qingyu Meng 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 Qingyu Meng. Qingyu Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 24 | |
| 8 | 2 | |
| 9 | 30 | |
| 10 | Past, present and future scalability of the Uintah software | 9 |
| 11 | 1 | |
| 12 | 23 | |
| 13 | 18 | |
| 14 | Dynamic Task Scheduling for Scalable Parallel AMR in the Uintah Framework | 2 |
| 15 | 46 | |
| 16 | 35 | |
| 17 | A Comparison of Load Balancing Algorithms for AMR in Uintah | 5 |
About Qingyu Meng
Qingyu Meng is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 17 papers that have together received 270 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Distributed and Parallel Computing Systems (9 papers) and Fluid Dynamics Simulations and Interactions (5 papers). The work is most often cited by research in Hardware and Architecture (155 citations), Computer Graphics and Computer-Aided Design (28 citations) and Computer Networks and Communications (150 citations). Qingyu Meng has collaborated with scholars based in United States. Frequent co-authors include Martin Berzins, Justin Luitjens, Todd Harman, Charles A. Wight, J.R. Peterson, John A. Schmidt, Scott Bardenhagen, Zvonimir Rakamarić and Ganesh Gopalakrishnan. Their work appears in journals such as SIAM Journal on Scientific Computing, Computing in Science & Engineering and Concurrency and Computation Practice and Experience.
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.