Yugui Tang

655 total citations
15 papers, 467 citations indexed

About

Yugui Tang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Yugui Tang has authored 15 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 5 papers in Automotive Engineering. Recurrent topics in Yugui Tang's work include Energy Load and Power Forecasting (7 papers), Solar Radiation and Photovoltaics (6 papers) and Advanced Battery Technologies Research (5 papers). Yugui Tang is often cited by papers focused on Energy Load and Power Forecasting (7 papers), Solar Radiation and Photovoltaics (6 papers) and Advanced Battery Technologies Research (5 papers). Yugui Tang collaborates with scholars based in China. Yugui Tang's co-authors include Zhen Zhang, Kuo Yang, Shujing Zhang, Shujing Zhang, Shujing Zhang, Yanyu Wang, Tao Sun, Xinpeng Zhang, Yichu Zheng and Zhijie Wang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Expert Systems with Applications.

In The Last Decade

Yugui Tang

15 papers receiving 447 citations

Peers

Yugui Tang
Muhammad Junaid Alvi Pakistan
Wonsuk Ko Saudi Arabia
Zeeshan Ahmad Arfeen Pakistan
Haixu Yang China
Mohammadamin Shirkhani Iran
Tianyi Li United States
Fei Xia China
Saeed Sepasi United States
Junlong Li China
Suresh Kumar Gawre India
Muhammad Junaid Alvi Pakistan
Yugui Tang
Citations per year, relative to Yugui Tang Yugui Tang (= 1×) peers Muhammad Junaid Alvi

Countries citing papers authored by Yugui Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yugui Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yugui Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yugui Tang. A scholar is included among the top collaborators of Yugui Tang 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 Yugui Tang. Yugui Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Tang, Yugui, et al.. (2024). Wind power forecasting: A transfer learning approach incorporating temporal convolution and adversarial training. Renewable Energy. 224. 120200–120200. 9 indexed citations
2.
Wang, Zhijie, Yugui Tang, & Zhen Zhang. (2024). Dual-branch deep learning architecture for enhanced hourly global horizontal irradiance forecasting. Expert Systems with Applications. 252. 124115–124115. 3 indexed citations
3.
Tang, Yugui, Kuo Yang, Shujing Zhang, & Zhen Zhang. (2023). Wind power forecasting: A temporal domain generalization approach incorporating hybrid model and adversarial relationship-based training. Applied Energy. 355. 122266–122266. 13 indexed citations
4.
Tang, Yugui, Kuo Yang, Shujing Zhang, & Zhen Zhang. (2023). Photovoltaic power forecasting: A dual-attention gated recurrent unit framework incorporating weather clustering and transfer learning strategy. Engineering Applications of Artificial Intelligence. 130. 107691–107691. 10 indexed citations
5.
Tang, Yugui, Shujing Zhang, & Zhen Zhang. (2023). A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting. Energy. 286. 129639–129639. 30 indexed citations
6.
Tang, Yugui, Kuo Yang, Shujing Zhang, & Zhen Zhang. (2023). Wind power forecasting: A hybrid forecasting model and multi-task learning-based framework. Energy. 278. 127864–127864. 39 indexed citations
7.
Yang, Kuo, Yanyu Wang, Yugui Tang, Shujing Zhang, & Zhen Zhang. (2023). A temporal convolution and gated recurrent unit network with attention for state of charge estimation of lithium-ion batteries. Journal of Energy Storage. 72. 108774–108774. 27 indexed citations
8.
Yang, Kuo, Yugui Tang, Shujing Zhang, & Zhen Zhang. (2022). A deep learning approach to state of charge estimation of lithium-ion batteries based on dual-stage attention mechanism. Energy. 244. 123233–123233. 99 indexed citations
9.
Tang, Yugui, Kuo Yang, Shujing Zhang, & Zhen Zhang. (2022). Photovoltaic power forecasting: A hybrid deep learning model incorporating transfer learning strategy. Renewable and Sustainable Energy Reviews. 162. 112473–112473. 105 indexed citations
10.
Tang, Yugui, et al.. (2022). Early prediction of lithium-ion battery lifetime via a hybrid deep learning model. Measurement. 199. 111530–111530. 31 indexed citations
11.
Yang, Kuo, Yugui Tang, Shujing Zhang, & Zhen Zhang. (2021). A Deep Learning Approach to State of Charge Estimation of Lithium-Ion Batteries Based on Dual-Stage Attention Mechanism. SSRN Electronic Journal. 8 indexed citations
12.
Yang, Kuo, Yugui Tang, & Zhen Zhang. (2021). Parameter Identification and State-of-Charge Estimation for Lithium-Ion Batteries Using Separated Time Scales and Extended Kalman Filter. Energies. 14(4). 1054–1054. 60 indexed citations
13.
Zhang, Zhen, Yugui Tang, & Kuo Yang. (2021). A two-stage restoration of distorted underwater images using compressive sensing and image registration. Advances in Manufacturing. 9(2). 273–285. 8 indexed citations
14.
Sun, Tao, Yugui Tang, & Zhen Zhang. (2020). Structural Information Reconstruction of Distorted Underwater Images Using Image Registration. Applied Sciences. 10(16). 5670–5670. 12 indexed citations
15.
Zhang, Zhen, et al.. (2019). Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on Support Vector Machine. 1258–1262. 13 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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