Jiayuan Meng

4.9k total citations · 2 hit papers
67 papers, 3.6k citations indexed

About

Jiayuan Meng is a scholar working on Computer Networks and Communications, Hardware and Architecture and Cognitive Neuroscience. According to data from OpenAlex, Jiayuan Meng has authored 67 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 29 papers in Hardware and Architecture and 25 papers in Cognitive Neuroscience. Recurrent topics in Jiayuan Meng's work include Parallel Computing and Optimization Techniques (29 papers), Advanced Data Storage Technologies (23 papers) and EEG and Brain-Computer Interfaces (19 papers). Jiayuan Meng is often cited by papers focused on Parallel Computing and Optimization Techniques (29 papers), Advanced Data Storage Technologies (23 papers) and EEG and Brain-Computer Interfaces (19 papers). Jiayuan Meng collaborates with scholars based in United States, China and Switzerland. Jiayuan Meng's co-authors include Kevin Skadron, David Tarjan, Michael Boyer, Jeremy W. Sheaffer, Shuai Che, Sangha Lee, Kalyan Kumaran, Srimat Chakradhar, Anand Raghunathan and Venkatram Vishwanath and has published in prestigious journals such as Sensors, Neural Networks and Frontiers in Neuroscience.

In The Last Decade

Jiayuan Meng

59 papers receiving 3.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rodinia: A benchmark suite for heterogeneous computing

2009 2.2k citations Jiayuan Meng, Jeremy W. Sheaffer et al. profile →
A performance study of general-purpose applications on graphics processors using CUDA

2008 451 citations Jiayuan Meng, Jeremy W. Sheaffer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiayuan Meng United States	17	2.8k	2.5k	790	589	411	67	3.6k
Sally A. McKee United States	29	3.1k 1.1×	2.9k 1.1×	863 1.1×	1.6k 2.7×	417 1.0×	124	4.5k
John Wawrzynek United States	30	2.9k 1.0×	2.4k 1.0×	271 0.3×	1.3k 2.2×	556 1.4×	128	4.3k
Richard Vuduc United States	32	2.5k 0.9×	2.0k 0.8×	495 0.6×	452 0.8×	711 1.7×	132	3.7k
Henk Corporaal Netherlands	32	3.1k 1.1×	2.3k 0.9×	263 0.3×	1.5k 2.6×	511 1.2×	394	4.7k
Karthikeyan Sankaralingam United States	35	3.8k 1.3×	3.4k 1.3×	585 0.7×	1.9k 3.3×	439 1.1×	117	5.0k
Weng‐Fai Wong Singapore	29	1.3k 0.5×	1.3k 0.5×	435 0.6×	984 1.7×	476 1.2×	182	2.8k
Satoshi Matsuoka Japan	26	1.1k 0.4×	1.1k 0.4×	367 0.5×	259 0.4×	550 1.3×	116	2.6k
Sungjoo Yoo South Korea	32	2.3k 0.8×	2.1k 0.8×	310 0.4×	1.5k 2.5×	616 1.5×	188	4.1k
Bradley C. Kuszmaul United States	22	2.3k 0.8×	2.8k 1.1×	581 0.7×	412 0.7×	486 1.2×	56	3.5k
Jesús Labarta Spain	32	3.1k 1.1×	3.4k 1.3×	1.3k 1.7×	401 0.7×	284 0.7×	254	4.2k

Countries citing papers authored by Jiayuan Meng

Since Specialization

Citations

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

Fields of papers citing papers by Jiayuan Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiayuan 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 Jiayuan Meng. The network helps show where Jiayuan Meng may publish in the future.

Co-authorship network of co-authors of Jiayuan Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiayuan Meng. A scholar is included among the top collaborators of Jiayuan 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 Jiayuan Meng. Jiayuan Meng 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

Wang, Kun, Yongzhi Huang, Jiayuan Meng, et al.. (2025). Enhancing motor imagery EEG classification with a Riemannian geometry-based spatial filtering (RSF) method. Neural Networks. 188. 107511–107511.

Yang, Xinyi, et al.. (2025). Decoding Arm Movement Direction Using Ultra-High-Density EEG. IEEE Journal of Biomedical and Health Informatics. 29(6). 4035–4045. 2 indexed citations

Meng, Jiayuan, et al.. (2025). High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 630–639.

Meng, Jiayuan, et al.. (2023). Modality-Attention Promotes the Neural Effects of Precise Timing Prediction in Early Sensory Processing. Brain Sciences. 13(4). 610–610. 1 indexed citations

Wang, Kun, Jiayuan Meng, Yue Jin, et al.. (2023). Cross-dataset transfer learning for motor imagery signal classification via multi-task learning and pre-training. Journal of Neural Engineering. 20(5). 56037–56037. 26 indexed citations

Meng, Jiayuan, Kun Wang, Weibo Yi, et al.. (2023). Rhythmic temporal prediction enhances neural representations of movement intention for brain–computer interface. Journal of Neural Engineering. 20(6). 66004–66004. 2 indexed citations

Meng, Jiayuan, et al.. (2023). SKDCPM algorithm can improve the single-trial decoding performance of very similar error-related potentials ^*. PubMed. 2023. 1–4.

Jung, Tzyy‐Ping, et al.. (2021). [Classification algorithms of error-related potentials in brain-computer interface].. PubMed. 38(3). 463–472. 4 indexed citations

Meng, Jiayuan, et al.. (2020). Timing Prediction Changes the Signatures of Alpha-Band Functional and Effective Connectivity. PubMed. 2020. 2392–2395.

10.

Meng, Jiayuan, et al.. (2020). Dynamic Brain Responses Modulated by Precise Timing Prediction in an Opposing Process. Neuroscience Bulletin. 37(1). 70–80. 8 indexed citations

11.

Liu, Shuang, Jiayuan Meng, Jiajia Yang, et al.. (2015). Within-stimulus emotion recognition may inflate the classification accuracies based on EEG signals. 3. 115–118. 4 indexed citations

12.

Meng, Jiayuan, et al.. (2014). Analytically Modeling Application Execution for Software-Hardware Co-design. 38. 468–477. 5 indexed citations

13.

Aji, Ashwin M., et al.. (2013). Online Performance Projection for Clusters with Heterogeneous GPUs. 283–290. 1 indexed citations

14.

Aji, Ashwin M., et al.. (2013). A Scalable Multi-engine Xpress9 Compressor with Asynchronous Data Transfer. Research Portal (Queen's University Belfast). 161–164. 9 indexed citations

15.

Morozov, Vitali, Kalyan Kumaran, Venkatram Vishwanath, Jiayuan Meng, & Michael E. Papka. (2013). Early Experience on the Blue Gene/Q Supercomputing System. 99. 1229–1240. 3 indexed citations

16.

Meng, Jiayuan, Vitali Morozov, Venkatram Vishwanath, & Kalyan Kumaran. (2012). Dataflow-driven GPU performance projection for multi-kernel transformations. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 10 indexed citations

17.

Meng, Jiayuan, Jeremy W. Sheaffer, & Kevin Skadron. (2012). Robust SIMD: Dynamically Adapted SIMD Width and Multi-Threading Depth. 107–118. 15 indexed citations

18.

Meng, Jiayuan, Vitali Morozov, Kalyan Kumaran, Venkatram Vishwanath, & Thomas Uram. (2011). GROPHECY. 1–11. 49 indexed citations

19.

Meng, Jiayuan & Kevin Skadron. (2010). A Performance Study for Iterative Stencil Loops on GPUs with Ghost Zone Optimizations. International Journal of Parallel Programming. 39(1). 115–142. 34 indexed citations

20.

Meng, Jiayuan & Kevin Skadron. (2009). Avoiding cache thrashing due to private data placement in last-level cache for manycore scaling. 282–288. 29 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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