Yuan Meng

585 total citations
57 papers, 398 citations indexed

About

Yuan Meng is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuan Meng has authored 57 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Electrical and Electronic Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuan Meng's work include Reinforcement Learning in Robotics (12 papers), Advanced Neural Network Applications (9 papers) and Advanced Memory and Neural Computing (8 papers). Yuan Meng is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Advanced Neural Network Applications (9 papers) and Advanced Memory and Neural Computing (8 papers). Yuan Meng collaborates with scholars based in China, United States and Australia. Yuan Meng's co-authors include Viktor K. Prasanna, Dan Pei, Sanmukh R. Kuppannagari, Youjian Zhao, Changhua Pei, Rajgopal Kannan, Chi Zhang, Yongqian Sun, Shenglin Zhang and Zhi Wang and has published in prestigious journals such as IEEE Access, Applied Thermal Engineering and Cognitive Science.

In The Last Decade

Yuan Meng

48 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Meng China 11 167 145 119 60 39 57 398
Matt Skach United States 6 136 0.8× 133 0.9× 74 0.6× 25 0.4× 71 1.8× 9 368
Mehdi R. Zargham United States 10 75 0.4× 317 2.2× 83 0.7× 46 0.8× 52 1.3× 31 522
Yicen Liu China 13 318 1.9× 165 1.1× 66 0.6× 16 0.3× 72 1.8× 36 516
Xiaosong Zhang China 14 182 1.1× 83 0.6× 281 2.4× 148 2.5× 94 2.4× 21 585
Zhenxing Luo United States 7 215 1.3× 160 1.1× 125 1.1× 10 0.2× 61 1.6× 24 350
Zenghua Zhao China 10 305 1.8× 200 1.4× 83 0.7× 18 0.3× 107 2.7× 40 507
Bing Bu China 11 162 1.0× 93 0.6× 64 0.5× 43 0.7× 39 1.0× 57 313
Yuning Dong China 11 295 1.8× 133 0.9× 191 1.6× 23 0.4× 41 1.1× 77 502
Abbas Mirzaei Iran 5 217 1.3× 229 1.6× 68 0.6× 12 0.2× 42 1.1× 10 385
M. González-López Spain 9 265 1.6× 241 1.7× 49 0.4× 13 0.2× 63 1.6× 45 431

Countries citing papers authored by Yuan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Meng. A scholar is included among the top collaborators of Yuan 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 Yuan Meng. Yuan Meng 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.
2.
Zhu, Zhihao, et al.. (2025). Container Truck High-Risk Events Prediction and Its Influencing Factors Analyses Based on Trajectory Data. Systems. 13(5). 326–326. 2 indexed citations
3.
Meng, Yuan, Mahesh A. Iyer, & Viktor K. Prasanna. (2025). An Acceleration Framework for Deep Reinforcement Learning Using Heterogeneous Systems. IEEE Transactions on Parallel and Distributed Systems. 36(7). 1401–1415. 1 indexed citations
4.
5.
Meng, Yuan, Michael Kinsner, Deshanand P. Singh, Mahesh A. Iyer, & Viktor K. Prasanna. (2024). PEARL: Enabling Portable, Productive, and High-Performance Deep Reinforcement Learning using Heterogeneous Platforms. 41–50. 1 indexed citations
6.
Meng, Yuan, et al.. (2024). An Attentional Graph Neural Network-Based Fault Point Positioning Model for Low-Voltage Distribution Networks. Journal of Circuits Systems and Computers. 34(6).
7.
Meng, Yuan. (2023). Analysis on the Integral Design of Public Art from the Perspective of Urban Culture. Journal of Humanities Arts and Social Science. 7(2). 377–379.
8.
Ma, Xinzhu, Yongtao Wang, Yinmin Zhang, et al.. (2023). Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection. 6402–6412. 2 indexed citations
9.
Wang, Weiqing, et al.. (2023). DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6593–6601. 2 indexed citations
10.
Zhang, Hongbin, et al.. (2023). BCT-OFD: bridging CNN and transformer via online feature distillation for COVID-19 image recognition. International Journal of Machine Learning and Cybernetics. 15(6). 2347–2366. 2 indexed citations
11.
Meng, Yuan, et al.. (2022). End to End Framework for CNN Acceleration on FPGAs with Dynamic Algorithm Mapping. 696–700. 1 indexed citations
12.
Meng, Yuan, Rajgopal Kannan, & Viktor Prasanna. (2022). Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. 176–182. 3 indexed citations
13.
Meng, Yuan, et al.. (2021). FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms. 404–404. 1 indexed citations
14.
Meng, Yuan, Sanmukh R. Kuppannagari, Rajgopal Kannan, & Viktor K. Prasanna. (2021). How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology. 81–90. 5 indexed citations
15.
Meng, Yuan & Fei Xu. (2020). How do disparities reproduce themselves? "Ground truth" inference from utility-maximizing agent's sampling behavior.. Cognitive Science. 1 indexed citations
16.
Meng, Yuan, et al.. (2020). QTAccel. 323–323. 5 indexed citations
17.
18.
Meng, Yuan, Yisheng Huang, Jiayi He, et al.. (2019). Effect of the thermal insulation wall under the air-conditioning intermittent operation. IOP Conference Series Earth and Environmental Science. 310(3). 32070–32070. 1 indexed citations
19.
Meng, Yuan, et al.. (2018). Fast CU Size and PU Partition Decision for AVS2 Intra Coding. 1–5. 1 indexed citations
20.
Liu, Yang, Jianhua Zhang, Yuan Meng, et al.. (2016). Outward transmission capacity analysis under the background of UHV AC/DC power grid. 2 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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