Yu Lin

766 total citations
26 papers, 539 citations indexed

About

Yu Lin is a scholar working on Economics and Econometrics, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Yu Lin has authored 26 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 14 papers in Electrical and Electronic Engineering and 13 papers in Management Science and Operations Research. Recurrent topics in Yu Lin's work include Market Dynamics and Volatility (13 papers), Energy Load and Power Forecasting (13 papers) and Stock Market Forecasting Methods (12 papers). Yu Lin is often cited by papers focused on Market Dynamics and Volatility (13 papers), Energy Load and Power Forecasting (13 papers) and Stock Market Forecasting Methods (12 papers). Yu Lin collaborates with scholars based in China, Malaysia and Singapore. Yu Lin's co-authors include Jiali Xu, Yan Yan, Qin Lu, Feng Ma, Yuanyuan Yu, Yang Xiao, Kechi Chen, Yizhuo Li, Xi Zhang and Wang Chen and has published in prestigious journals such as Expert Systems with Applications, Energy and Journal of Environmental Management.

In The Last Decade

Yu Lin

21 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Lin China 11 286 241 237 81 54 26 539
Yingchao Zou China 12 219 0.8× 177 0.7× 164 0.7× 41 0.5× 50 0.9× 33 412
Francesco Lisi Italy 15 365 1.3× 246 1.0× 345 1.5× 211 2.6× 64 1.2× 49 808
Silvano Bordignon Italy 12 181 0.6× 84 0.3× 139 0.6× 116 1.4× 33 0.6× 26 407
Grzegorz Marcjasz Poland 13 213 0.7× 288 1.2× 746 3.1× 29 0.4× 143 2.6× 20 931
Jooyoung Jeon South Korea 13 87 0.3× 105 0.4× 347 1.5× 54 0.7× 25 0.5× 32 558
Katarzyna Maciejowska Poland 11 268 0.9× 139 0.6× 488 2.1× 80 1.0× 149 2.8× 21 718
Carolina García‐Martos Spain 9 158 0.6× 100 0.4× 280 1.2× 18 0.2× 57 1.1× 13 418
Binrong Wu China 11 137 0.5× 147 0.6× 247 1.0× 16 0.2× 38 0.7× 22 521
Peter Nystrup Denmark 12 124 0.4× 125 0.5× 133 0.6× 128 1.6× 16 0.3× 25 370
Qin Lu China 10 131 0.5× 96 0.4× 81 0.3× 95 1.2× 32 0.6× 15 334

Countries citing papers authored by Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Lin. A scholar is included among the top collaborators of Yu Lin 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 Lin. Yu Lin 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.
Zhou, Zhen, Jia Huang, Tao Zhang, et al.. (2025). A convolutional neural network approach to extract the beat frequency of reflectometry for real-time profile inversion on EAST. Fusion Engineering and Design. 212. 114843–114843. 1 indexed citations
2.
Lin, Yu, et al.. (2025). Forecasting Crude Oil Prices: Evidence From WOA-VMD-FE-Transformer Model. Computational Economics. 66(6). 4645–4676. 1 indexed citations
3.
Lin, Yu, et al.. (2025). Committee of Multi-scale Nonlinear Learning Frameworks for accurate stock price forecasting. Engineering Applications of Artificial Intelligence. 162. 112325–112325.
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Lin, Yu, Zhaoming Hu, Zhe Liu, et al.. (2025). Rapid machine learning model for differentiating asthma and chronic obstructive pulmonary disease using age and blood parameters. International Journal of Medical Informatics. 205. 106114–106114.
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8.
Yu, Yuanyuan, et al.. (2024). An intelligent framework based on optimized variational mode decomposition and temporal convolutional network: Applications to stock index multi-step forecasting. Expert Systems with Applications. 268. 126222–126222. 3 indexed citations
9.
Lin, Yu, et al.. (2024). An Interactive Approach for Intuitionistic Fuzzy Data Envelopment Analysis. IEEE Transactions on Fuzzy Systems. 32(9). 5189–5200. 4 indexed citations
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11.
Yu, Yuanyuan, et al.. (2024). Can hybrid model improve the forecasting performance of stock price index amid COVID-19? Contextual evidence from the MEEMD-LSTM-MLP approach. The North American Journal of Economics and Finance. 74. 102252–102252. 5 indexed citations
12.
Ma, Chunchi, et al.. (2023). Parallel Processing Method for Microseismic Signal Based on Deep Neural Network. Remote Sensing. 15(5). 1215–1215. 7 indexed citations
13.
Yu, Yuanyuan, et al.. (2023). Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model. Expert Systems with Applications. 233. 120880–120880. 29 indexed citations
14.
Lu, Qin, et al.. (2023). Predicting carbon futures prices based on a new hybrid machine learning: Comparative study of carbon prices in different periods. Journal of Environmental Management. 346. 118962–118962. 22 indexed citations
15.
Ma, Chunchi, et al.. (2023). Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep Learning. Remote Sensing. 15(2). 502–502. 12 indexed citations
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Lin, Yu, et al.. (2022). Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform. Applied Soft Computing. 130. 109723–109723. 68 indexed citations
18.
Lin, Yu, et al.. (2022). Forecasting energy prices using a novel hybrid model with variational mode decomposition. Energy. 246. 123366–123366. 38 indexed citations
19.
Lin, Yu, et al.. (2020). Forecasting crude oil price volatility via a HM-EGARCH model. Energy Economics. 87. 104693–104693. 63 indexed citations
20.
Liu, Tiegen, et al.. (2013). An Automatic Baseline Extraction Algorithm for Intensity Absorption Type Gas Sensing. Journal of Lightwave Technology. 31(22). 3582–3587. 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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