Yunlei Yang

454 total citations
24 papers, 314 citations indexed

About

Yunlei Yang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Yunlei Yang has authored 24 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Yunlei Yang's work include Machine Learning and ELM (10 papers), Model Reduction and Neural Networks (10 papers) and Neural Networks and Applications (8 papers). Yunlei Yang is often cited by papers focused on Machine Learning and ELM (10 papers), Model Reduction and Neural Networks (10 papers) and Neural Networks and Applications (8 papers). Yunlei Yang collaborates with scholars based in China and Australia. Yunlei Yang's co-authors include Muzhou Hou, Futian Weng, Tianle Zhang, Feng Han, Tianyi Ma, Yinghao Chen, Hui Li, Junjun Yao, Yanfei Lu and Hongyi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbon and Chemical Engineering Journal.

In The Last Decade

Yunlei Yang

23 papers receiving 303 citations

Peers

Yunlei Yang
Jiyong Li China
Song Liu China
Huatao Chen China
ElSayed M. Tag El Din Egypt
Omar Kahouli Tunisia
Ján Terpák Slovakia
José M. Lozano Mexico
Mahmoud Paripour Iran
Muhammad Mujtaba Shaikh Pakistan
Jiyong Li China
Yunlei Yang
Citations per year, relative to Yunlei Yang Yunlei Yang (= 1×) peers Jiyong Li

Countries citing papers authored by Yunlei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yunlei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunlei Yang. A scholar is included among the top collaborators of Yunlei Yang 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 Yunlei Yang. Yunlei Yang 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
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Yang, Yunlei, Chang Liu, Junjun Yao, et al.. (2024). Unveiling the role of intrinsic defects in N/S Co-Doped hard carbon for superior sodium-ion batteries. Chemical Engineering Journal. 503. 158441–158441. 15 indexed citations
3.
Zheng, Jiachun & Yunlei Yang. (2024). VT-PINN:Variable transformation improves physics-informed neural networks for approximating partial differential equations. Applied Soft Computing. 167. 112370–112370. 1 indexed citations
4.
Yao, Junjun, Chang Liu, Yaming Zhu, et al.. (2024). Needle coke anodes for potassium-ion batteries: Storage mechanism and interfacial evolution in soft carbon. Carbon. 221. 118937–118937. 21 indexed citations
5.
Yang, Yunlei, et al.. (2023). Solving Emden–Fowler Equations Using Improved Extreme Learning Machine Algorithm Based on Block Legendre Basis Neural Network. Neural Processing Letters. 55(6). 7135–7154. 4 indexed citations
6.
Zheng, Jiachun & Yunlei Yang. (2023). M-WDRNNs: Mixed-Weighted Deep Residual Neural Networks for Forward and Inverse PDE Problems. Axioms. 12(8). 750–750. 1 indexed citations
7.
Yang, Yunlei, et al.. (2023). A Novel Non-Ferrous Metals Price Forecast Model Based on LSTM and Multivariate Mode Decomposition. Axioms. 12(7). 670–670. 6 indexed citations
8.
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Liu, Chang, Junjun Yao, Ying Sun, et al.. (2023). Ultrafine red phosphorus confined in reasonably designed pitch-based carbon matrix built of well-interconnected carbon nanosheets for high-performance lithium and potassium storage. SHILAP Revista de lepidopterología. 3(1). 54–61. 3 indexed citations
10.
Chen, Yinghao, et al.. (2022). Numerical solving for generalized Black-Scholes-Merton model with neural finite element method. Digital Signal Processing. 131. 103757–103757. 7 indexed citations
11.
Hou, Muzhou, et al.. (2022). Numerical solving of generalized Black-Scholes differential equation using deep learning based on blocked residual connection. Digital Signal Processing. 126. 103498–103498. 7 indexed citations
12.
Lu, Yanfei, et al.. (2019). The LS-SVM algorithms for boundary value problems of high-order ordinary differential equations. Advances in Difference Equations. 2019(1). 19 indexed citations
13.
Yang, Yunlei, et al.. (2019). Numerical solution of several kinds of differential equations using block neural network method with improved extreme learning machine algorithm. Journal of Intelligent & Fuzzy Systems. 38(3). 3445–3461. 11 indexed citations
14.
Yang, Yunlei, et al.. (2019). Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations. Soft Computing. 24(2). 1083–1096. 46 indexed citations
15.
Yang, Yunlei, et al.. (2018). Neural network method for lossless two-conductor transmission line equations based on the IELM algorithm. AIP Advances. 8(6). 4 indexed citations
16.
Hou, Muzhou, et al.. (2018). Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc. Frontiers of Computer Science. 12(6). 1261–1263. 10 indexed citations
17.
Hou, Muzhou, et al.. (2018). Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm. Neural Processing Letters. 50(2). 1153–1172. 74 indexed citations
18.
Yang, Yunlei, et al.. (2018). A novel improved extreme learning machine algorithm in solving ordinary differential equations by Legendre neural network methods. Advances in Difference Equations. 2018(1). 56 indexed citations
19.
Yang, Yunlei, et al.. (2014). Security constrained unit commitment incorporating volatile wind power. 28. 844–851. 1 indexed citations
20.

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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