Rui Yu

2.1k total citations · 1 hit paper
65 papers, 1.5k citations indexed

About

Rui Yu is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Rui Yu has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 15 papers in Mechanical Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Rui Yu's work include Welding Techniques and Residual Stresses (12 papers), Non-Destructive Testing Techniques (9 papers) and Power System Optimization and Stability (8 papers). Rui Yu is often cited by papers focused on Welding Techniques and Residual Stresses (12 papers), Non-Destructive Testing Techniques (9 papers) and Power System Optimization and Stability (8 papers). Rui Yu collaborates with scholars based in China, United States and Australia. Rui Yu's co-authors include Yuming Zhang, Zhuo Li, Xin Guo, Baisi Liu, Wei Hu, Xuefeng Wang, Qinghua Zhang, Suting Weng, Shuang Wu and Qiyue Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Rui Yu

61 papers receiving 1.5k citations

Hit Papers

Tailoring polymer electro... 2023 2026 2024 2023 50 100 150 200
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. Tailoring polymer electrolyte ionic conductivity for production of low- temperature operating quasi-all-solid-state lithium metal batteries
    2023 238 citations Zhuo Li, Rui Yu 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
Rui Yu China 23 778 441 226 208 145 65 1.5k
Bo Li China 19 447 0.6× 740 1.7× 455 2.0× 157 0.8× 61 0.4× 195 1.6k
Muhsin Tunay Gençoğlu Türkiye 16 742 1.0× 234 0.5× 279 1.2× 98 0.5× 113 0.8× 47 1.2k
Austin Downey United States 22 306 0.4× 347 0.8× 157 0.7× 382 1.8× 42 0.3× 117 1.8k
Libing Bai China 24 584 0.8× 550 1.2× 200 0.9× 59 0.3× 164 1.1× 132 1.7k
Guang Li China 27 597 0.8× 592 1.3× 804 3.6× 657 3.2× 112 0.8× 143 2.4k
Alhussein Albarbar United Kingdom 21 515 0.7× 372 0.8× 430 1.9× 162 0.8× 178 1.2× 66 1.4k
Hyunseok Oh South Korea 19 547 0.7× 544 1.2× 575 2.5× 64 0.3× 68 0.5× 81 1.6k
Cheng Qian China 23 893 1.1× 291 0.7× 213 0.9× 548 2.6× 28 0.2× 88 1.9k
Ekaitz Zulueta Spain 22 500 0.6× 173 0.4× 225 1.0× 184 0.9× 145 1.0× 132 1.5k
Zhisheng Zhang China 17 284 0.4× 195 0.4× 298 1.3× 47 0.2× 122 0.8× 105 1.1k

Countries citing papers authored by Rui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Rui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Yu. A scholar is included among the top collaborators of Rui Yu 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 Rui Yu. Rui Yu 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.
Li, Zhuo, et al.. (2024). Dual-salt poly(tetrahydrofuran) electrolyte enables quasi-solid-state lithium metal batteries to operate at −30 °C. Journal of Energy Chemistry. 96. 456–463. 26 indexed citations
2.
Duan, Yongqing, Rui Yu, Hanyuan Zhang, et al.. (2024). Programmable, High‐resolution Printing of Spatially Graded Perovskites for Multispectral Photodetectors. Advanced Materials. 36(24). e2313946–e2313946. 33 indexed citations
3.
Yu, Rui, et al.. (2024). Ginkgo biloba-derived biogenic carbon quantum dots modified NiCo-LDH: Significantly enhanced energy density and cycle stability. Materials Chemistry and Physics. 329. 130135–130135. 3 indexed citations
4.
Yu, Rui, Yue Cao, Heping Chen, Qiang Ye, & Yuming Zhang. (2023). Deep learning based real-time and in-situ monitoring of weld penetration: Where we are and what are needed revolutionary solutions?. Journal of Manufacturing Processes. 93. 15–46. 68 indexed citations
5.
Yu, Rui, et al.. (2023). Robotizing double-electrode GMAW process through learning from human welders. Journal of Manufacturing Processes. 109. 140–150. 16 indexed citations
6.
Zheng, Qinghe, Xinyu Tian, Zhiguo Yu, et al.. (2023). Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China. Sustainable Cities and Society. 92. 104486–104486. 58 indexed citations
7.
Yu, Rui, et al.. (2023). Do We Need a New Foundation to Use Deep Learning to Monitor Weld Penetration?. IEEE Robotics and Automation Letters. 8(6). 3669–3676. 11 indexed citations
8.
Zheng, Qinghe, Sergio Saponara, Xinyu Tian, et al.. (2023). A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViT. Cognitive Neurodynamics. 18(2). 659–671. 71 indexed citations
9.
Yu, Rui, et al.. (2022). How to Accurately Monitor the Weld Penetration From Dynamic Weld Pool Serial Images Using CNN-LSTM Deep Learning Model?. IEEE Robotics and Automation Letters. 7(3). 6519–6525. 49 indexed citations
10.
Shi, Ting, et al.. (2022). Score-CAMpp: class activation map based on logarithmic transformation. 256–259. 1 indexed citations
11.
12.
Yu, Rui, et al.. (2021). Real-time recognition of arc weld pool using image segmentation network. Journal of Manufacturing Processes. 72. 159–167. 50 indexed citations
13.
Yang, Fan, et al.. (2021). PSCAD-MATLAB Coupled Simulation Method for Power Flow Optimization using Continuous Reactive Power Controllable Device. Journal of Physics Conference Series. 1754(1). 12026–12026. 3 indexed citations
14.
Wang, Wei, Xiaofu Xiong, Mengyang Li, & Rui Yu. (2020). A Flexible Control Strategy to Prevent Sending-End Power System From Transient Instability Under HVDC Repetitive Commutation Failures. IEEE Transactions on Power Systems. 35(6). 4445–4458. 15 indexed citations
15.
Zhang, Ruoyu, Wenpeng Lü, Shoujin Wang, et al.. (2020). Chinese clinical named entity recognition based on stacked neural network. Concurrency and Computation Practice and Experience. 33(22). 9 indexed citations
16.
17.
Hu, Wei, et al.. (2018). Multi-step Ahead Wind Power Forecasting Based on Recurrent Neural Networks. 217–222. 25 indexed citations
18.
Zheng, Le, Wei Hu, Yifan Zhou, et al.. (2017). Deep belief network based nonlinear representation learning for transient stability assessment. 1–5. 31 indexed citations
19.
Zhou, Yifan, Wei Hu, Yong Min, et al.. (2017). A semi-supervised anomaly detection method for wind farm power data preprocessing. 1–5. 18 indexed citations
20.
Yu, Rui. (2010). Effects of Y-shaped columns on overall stability of roof structure for terminal building of Pudong International Airport. 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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