Kuo Yang

1.1k total citations
24 papers, 752 citations indexed

About

Kuo Yang is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Kuo Yang has authored 24 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 11 papers in Automotive Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Kuo Yang's work include Advancements in Battery Materials (11 papers), Advanced Battery Technologies Research (11 papers) and Electric Vehicles and Infrastructure (6 papers). Kuo Yang is often cited by papers focused on Advancements in Battery Materials (11 papers), Advanced Battery Technologies Research (11 papers) and Electric Vehicles and Infrastructure (6 papers). Kuo Yang collaborates with scholars based in China, United Kingdom and Denmark. Kuo Yang's co-authors include Zhen Zhang, Yugui Tang, Rui He, Shujing Zhang, Shujing Zhang, Shujing Zhang, Jinwu Qian, Yanyu Wang, Xiaoqin Zhang and Hao Bao-qing and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Expert Systems with Applications.

In The Last Decade

Kuo Yang

21 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuo Yang China 12 377 279 166 142 136 24 752
Siti Fauziah Toha Malaysia 18 277 0.7× 296 1.1× 79 0.5× 70 0.5× 319 2.3× 95 895
Muhammad Tanveer Riaz Pakistan 17 371 1.0× 90 0.3× 48 0.3× 115 0.8× 113 0.8× 69 757
Hsin‐Han Chiang Taiwan 16 217 0.6× 267 1.0× 73 0.4× 107 0.8× 410 3.0× 81 933
Junyou Yang China 16 832 2.2× 105 0.4× 48 0.3× 94 0.7× 415 3.1× 140 1.2k
Marizan Mubin Malaysia 20 1.0k 2.7× 142 0.5× 165 1.0× 53 0.4× 648 4.8× 103 1.5k
Karam Dad Kallu South Korea 14 136 0.4× 49 0.2× 179 1.1× 95 0.7× 137 1.0× 38 676
Xuewei Qi United States 12 702 1.9× 830 3.0× 52 0.3× 226 1.6× 263 1.9× 34 1.3k
Micheal Drieberg Malaysia 16 412 1.1× 53 0.2× 58 0.3× 172 1.2× 30 0.2× 89 934
Chunquan Li China 19 381 1.0× 29 0.1× 351 2.1× 126 0.9× 156 1.1× 77 1.1k

Countries citing papers authored by Kuo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo Yang. A scholar is included among the top collaborators of Kuo 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 Kuo Yang. Kuo 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
1.
Yang, Kuo, et al.. (2025). A deep learning model based on multi-attention mechanism and gated recurrent unit network for photovoltaic power forecasting. Computers & Electrical Engineering. 123. 110250–110250. 5 indexed citations
2.
Zhang, Sijie, Gang Yin, Lei Wu, et al.. (2025). Silicon-based Tubular Micromotor with SERS Traceability and Magnetic–Thermal Dual Responsiveness. Nano Biomedicine and Engineering. 17(2). 263–276. 3 indexed citations
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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
7.
Tian, Yupeng, et al.. (2024). A real-world battery state of charge prediction method based on a lightweight mixer architecture. Energy. 311. 133434–133434. 3 indexed citations
8.
Liu, Zixi, et al.. (2024). A deep learning model for predicting the state of energy in lithium-ion batteries based on magnetic field effects. Energy. 304. 132161–132161. 14 indexed citations
9.
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
10.
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
11.
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
12.
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
13.
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
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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
16.
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
17.
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
18.
Zhang, Zhen, et al.. (2019). Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network. Sensors. 19(14). 3170–3170. 121 indexed citations
19.
Yang, Kuo & Zhen Zhang. (2019). Real-time Pattern Recognition for Hand Gesture Based on ANN and Surface EMG. 15 indexed citations
20.
Zhang, Xiaoqin, Kuo Yang, & Hao Bao-qing. (2010). Cell-edge detection method based on canny algorithm and mathematical morphology. 2010 3rd International Congress on Image and Signal Processing. 894–897. 8 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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