Zhe Yuan

1.8k total citations · 1 hit paper
81 papers, 1.4k citations indexed

About

Zhe Yuan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Zhe Yuan has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 21 papers in Computer Vision and Pattern Recognition and 19 papers in Mechanical Engineering. Recurrent topics in Zhe Yuan's work include Advanced Memory and Neural Computing (18 papers), Advanced Neural Network Applications (17 papers) and Ferroelectric and Negative Capacitance Devices (10 papers). Zhe Yuan is often cited by papers focused on Advanced Memory and Neural Computing (18 papers), Advanced Neural Network Applications (17 papers) and Ferroelectric and Negative Capacitance Devices (10 papers). Zhe Yuan collaborates with scholars based in China, United States and Taiwan. Zhe Yuan's co-authors include Efstathios E. Michaelides, Yongpan Liu, Huazhong Yang, Jinshan Yue, Xueqing Li, Meng‐Fan Chang, Xiaoyu Feng, Zhibo Wang, Yixiong Yang and Yifan He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Carbohydrate Polymers.

In The Last Decade

Zhe Yuan

76 papers receiving 1.3k citations

Hit Papers

Numerical Analysis of Ultrasonic Spot Welding of Cu/Cu Jo... 2025 2026 2025 10 20 30 40
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.

  1. Numerical Analysis of Ultrasonic Spot Welding of Cu/Cu Joints
    2025 45 citations Zhe Yuan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhe Yuan China 19 669 321 155 150 145 81 1.4k
Qi Wei China 17 737 1.1× 783 2.4× 143 0.9× 50 0.3× 204 1.4× 135 1.8k
Yuxin Wang China 17 265 0.4× 216 0.7× 91 0.6× 43 0.3× 77 0.5× 110 1.3k
Youngjoo Lee South Korea 22 1.2k 1.8× 169 0.5× 131 0.8× 80 0.5× 182 1.3× 147 2.1k
Tommaso Addabbo Italy 19 568 0.8× 326 1.0× 113 0.7× 19 0.1× 289 2.0× 123 1.2k
Yibo Fan China 20 216 0.3× 796 2.5× 127 0.8× 35 0.2× 106 0.7× 193 1.4k
Vinay Kumar India 18 770 1.2× 130 0.4× 53 0.3× 52 0.3× 257 1.8× 124 1.7k
Yongqiang Huang China 20 196 0.3× 192 0.6× 180 1.2× 50 0.3× 350 2.4× 63 1.4k
Fengqi Yu China 18 649 1.0× 128 0.4× 54 0.3× 32 0.2× 292 2.0× 140 1.1k
Mohamed Masmoudi Tunisia 16 448 0.7× 192 0.6× 139 0.9× 16 0.1× 288 2.0× 166 1.2k
Qi Xu China 14 308 0.5× 203 0.6× 48 0.3× 40 0.3× 37 0.3× 62 737

Countries citing papers authored by Zhe Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Zhe Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhe Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Yuan. A scholar is included among the top collaborators of Zhe Yuan 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 Zhe Yuan. Zhe Yuan 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.
Qiu, Jing, et al.. (2025). A Fuzzy Logic Approach to Power System Security With Nonideal Electric Vehicle Battery Models in Vehicle-to-Grid Systems. IEEE Internet of Things Journal. 12(12). 21876–21891. 6 indexed citations
2.
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Hou, Jilei, Jie Zhang, Zhe Yuan, et al.. (2024). Study of the evolution of density and particle transport during density relaxation phase after pellet fueling on the EAST tokamak. Plasma Physics and Controlled Fusion. 66(11). 115015–115015.
4.
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Yuan, Zhe, et al.. (2023). Leveling Control of Hillside Tractor Body Based on Fuzzy Sliding Mode Variable Structure. Applied Sciences. 13(10). 6066–6066. 7 indexed citations
6.
Yue, Jinshan, Yongpan Liu, Xiaoyu Feng, et al.. (2023). An Energy-Efficient Computing-in-Memory NN Processor With Set-Associate Blockwise Sparsity and Ping-Pong Weight Update. IEEE Journal of Solid-State Circuits. 59(5). 1612–1627. 9 indexed citations
7.
Yuan, Zhe, et al.. (2022). Nonlinear dynamics analysis of a gear system considering tooth contact temperature and dynamic wear. Advances in Mechanical Engineering. 14(9). 4 indexed citations
8.
Yue, Jinshan, Zhe Yuan, Yanzhi Wang, et al.. (2022). PACA: A Pattern Pruning Algorithm and Channel-Fused High PE Utilization Accelerator for CNNs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 5043–5056. 6 indexed citations
9.
Yue, Jinshan, Yongpan Liu, Zhe Yuan, et al.. (2022). STICKER-IM: A 65 nm Computing-in-Memory NN Processor Using Block-Wise Sparsity Optimization and Inter/Intra-Macro Data Reuse. IEEE Journal of Solid-State Circuits. 57(8). 2560–2573. 37 indexed citations
10.
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Yang, Yixiong, Yongpan Liu, Zhe Yuan, et al.. (2021). A 65-nm Energy-Efficient Interframe Data Reuse Neural Network Accelerator for Video Applications. IEEE Journal of Solid-State Circuits. 57(8). 2574–2585. 7 indexed citations
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Yue, Jinshan, Yongpan Liu, Wenyu Sun, et al.. (2020). STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration. IEEE Journal of Solid-State Circuits. 56(6). 1936–1948. 8 indexed citations
14.
Yuan, Zhe, et al.. (2020). GAAS: An Efficient Group Associated Architecture and Scheduler Module for Sparse CNN Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 5170–5182. 5 indexed citations
15.
Yuan, Zhe, Yongpan Liu, Jinshan Yue, et al.. (2019). STICKER: An Energy-Efficient Multi-Sparsity Compatible Accelerator for Convolutional Neural Networks in 65-nm CMOS. IEEE Journal of Solid-State Circuits. 55(2). 465–477. 67 indexed citations
16.
Yue, Jinshan, Yongpan Liu, Zhe Yuan, et al.. (2018). A 3.77TOPS/W Convolutional Neural Network Processor With Priority-Driven Kernel Optimization. IEEE Transactions on Circuits & Systems II Express Briefs. 66(2). 277–281. 25 indexed citations
17.
18.
Li, Jinyang, Qingwei Guo, Fang Su, et al.. (2017). CNN-based pattern recognition on nonvolatile IoT platform for smart ultraviolet monitoring. International Conference on Computer Aided Design. 888–893. 2 indexed citations
19.
Yuan, Zhe, et al.. (2008). Trajectory sensitivity analysis of influences of excitation system and governors on the dynamics of hydroelectric generating unit. International Conference on Electrical Machines and Systems. 4224–4229. 2 indexed citations
20.
Yuan, Zhe, et al.. (2006). Dynamic routing algorithm for LEO/MEO double-layered satellite networks. Beijing Hangkong Hangtian Daxue xuebao. 32(7). 788. 1 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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