Yu He

888 total citations
46 papers, 586 citations indexed

About

Yu He is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Yu He has authored 46 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 15 papers in Mechanical Engineering and 12 papers in Mechanics of Materials. Recurrent topics in Yu He's work include Fatigue and fracture mechanics (7 papers), Energy Load and Power Forecasting (5 papers) and Smart Grid Energy Management (4 papers). Yu He is often cited by papers focused on Fatigue and fracture mechanics (7 papers), Energy Load and Power Forecasting (5 papers) and Smart Grid Energy Management (4 papers). Yu He collaborates with scholars based in China, Australia and Netherlands. Yu He's co-authors include Wenjie Lin, Zhiqiang Feng, Hui Shen, Jian Gong, Yifeng Chen, Yang Zou, Daming Chen, Xueling Zhang, Zigang Wang and Yao Wang and has published in prestigious journals such as Applied Energy, Journal of Colloid and Interface Science and IEEE Transactions on Power Systems.

In The Last Decade

Yu He

32 papers receiving 559 citations

Peers

Yu He
Yu He
Citations per year, relative to Yu He Yu He (= 1×) peers Tomoyuki Hatakeyama

Countries citing papers authored by Yu He

Since Specialization
Citations

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

Fields of papers citing papers by Yu He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu He

This figure shows the co-authorship network connecting the top 25 collaborators of Yu He. A scholar is included among the top collaborators of Yu He 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 Yu He. Yu He 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.
He, Yu, Zongbo Zhang, Yuan Ma, et al.. (2025). Photocatalytic Desilylation Trifunctionalization of 1,3-Enynes with CO 2. CCS Chemistry. 8(2). 736–745.
2.
Zhu, Huijuan, et al.. (2025). Accelerated Discovery of Energy Materials via Graph Neural Network. Inorganics. 13(12). 395–395.
3.
Duan, Zhiqiang, et al.. (2025). Genetic algorithm-based energy and safety optimization of dual-vortex fluid oscillator. International Journal of Mechanical Sciences. 306. 110813–110813.
5.
He, Yu, et al.. (2025). Fault diagnosis and interpretability method for rotating machinery based on generative adversarial networks. Measurement Science and Technology. 37(3). 36102–36102.
7.
Zhang, Bohan, Fengji Luo, Yu He, & Gianluca Ranzi. (2025). GT-NILM: A Generative, Transferable Non-Intrusive Load Monitoring System Based on Conditional Diffusion Models and Convolutional Neural Networks. IEEE Transactions on Consumer Electronics. 71(3). 7906–7919.
8.
He, Yu, Fengji Luo, Salil S. Kanhere, & Gianluca Ranzi. (2025). Unsupervised Power Load Super-Resolution Based on Contrastive and Internal Learning. IEEE Transactions on Smart Grid. 16(5). 3843–3856.
9.
Hu, Yujuan, Kelin Hu, Jing Zhang, et al.. (2024). WSe2 modified monocrystalline SnSe2 nanosheets for hydrogen gas detection and its sensing mechanism. International Journal of Hydrogen Energy. 78. 731–740. 4 indexed citations
10.
Zhao, Zehua, Fengji Luo, Yu He, & Gianluca Ranzi. (2024). Personalized P2P energy trading system based on socio-demographic characteristic inference and AC network constraints. Applied Energy. 368. 123333–123333. 3 indexed citations
11.
Chen, Xinyu, et al.. (2024). Flexible one-dimensional photonic crystal films composed of chalcogenide glass and water-soluble polymer for curvature sensing. Chinese Optics Letters. 22(2). 21601–21601. 1 indexed citations
12.
Huang, Zeyu, Jianyu Xin, Yu He, et al.. (2024). Intercalation chemistry engineering strategy enabled high mass loading and ultrastable electrodes for High-Performance aqueous electrochemical energy storage devices. Journal of Colloid and Interface Science. 660. 32–41. 4 indexed citations
14.
Wang, Jingxia, et al.. (2023). IgG1-Dominant Antibody Response Induced by Recombinant Trimeric SARS-CoV-2 Spike Protein with PIKA Adjuvant. Vaccines. 11(4). 827–827. 2 indexed citations
15.
16.
He, Yu, et al.. (2022). Dense channel splitting network for MR image super-resolution. Magnetic Resonance Imaging. 88. 53–61. 3 indexed citations
17.
Wu, Xuefeng, Wenbo Zhu, & Yu He. (2021). Deformation Prediction and Experimental Study of 316L Stainless Steel Thin-Walled Parts Processed by Additive-Subtractive Hybrid Manufacturing. Materials. 14(19). 5582–5582. 27 indexed citations
18.
Zhang, Hua, Chengyu Liu, Zhimin Zhang, et al.. (2021). Recurrence Plot-Based Approach for Cardiac Arrhythmia Classification Using Inception-ResNet-v2. Frontiers in Physiology. 12. 648950–648950. 42 indexed citations
19.
He, Yu, et al.. (2020). Study on Application of ARCS Motivational Model on Cross-Border E-Commerce Course Design. Advances in Social Science, Education and Humanities Research.
20.
Fan, Chao, et al.. (2007). Predictive Model Based on Genetic Algorithm-Neural Network for Fatigue Performances of Pre-Corroded Aluminum Alloys. Key engineering materials. 353-358. 1029–1032. 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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