Yili Yu

844 total citations
9 papers, 668 citations indexed

About

Yili Yu is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Artificial Intelligence. According to data from OpenAlex, Yili Yu has authored 9 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 6 papers in Renewable Energy, Sustainability and the Environment and 4 papers in Artificial Intelligence. Recurrent topics in Yili Yu's work include Energy Load and Power Forecasting (5 papers), Photovoltaic System Optimization Techniques (4 papers) and Solar Radiation and Photovoltaics (4 papers). Yili Yu is often cited by papers focused on Energy Load and Power Forecasting (5 papers), Photovoltaic System Optimization Techniques (4 papers) and Solar Radiation and Photovoltaics (4 papers). Yili Yu collaborates with scholars based in China, United States and Portugal. Yili Yu's co-authors include Fei Wang, Zhao Zhen, João P. S. Catalào, Miadreza Shafie‐khah, Chun Liu, Neven Duić, Jie Li, Kangping Li, Yuzhang Lin and Xiaoxing Lu and has published in prestigious journals such as Energy Conversion and Management, Frontiers in Microbiology and IEEE Transactions on Industry Applications.

In The Last Decade

Yili Yu

9 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yili Yu China	7	498	413	295	65	54	9	668
Zhiming Xuan China	6	552 1.1×	483 1.2×	350 1.2×	56 0.9×	42 0.8×	9	747
Bixuan Gao China	10	448 0.9×	452 1.1×	267 0.9×	48 0.7×	26 0.5×	18	670
Hangxia Zhou China	7	432 0.9×	308 0.7×	191 0.6×	66 1.0×	26 0.5×	17	581
M. Ghayekhloo United States	10	485 1.0×	244 0.6×	122 0.4×	118 1.8×	49 0.9×	15	584
Yassine El Houm Morocco	9	405 0.8×	277 0.7×	150 0.5×	44 0.7×	26 0.5×	17	615
Razin Ahmed Bangladesh	4	656 1.3×	630 1.5×	456 1.5×	77 1.2×	14 0.3×	6	871
Fermín Rodríguez Spain	9	465 0.9×	338 0.8×	230 0.8×	37 0.6×	12 0.2×	25	573
André Gensler Germany	7	348 0.7×	285 0.7×	131 0.4×	64 1.0×	46 0.9×	14	522
Spyros Theocharides Cyprus	12	411 0.8×	296 0.7×	228 0.8×	29 0.4×	14 0.3×	32	548

Countries citing papers authored by Yili Yu

Since Specialization

Citations

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

Fields of papers citing papers by Yili Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yili Yu

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

All Works

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9 of 9 papers shown

Xu, Meng, et al.. (2024). Potential effects of specific gut microbiota on periodontal disease: a two-sample bidirectional Mendelian randomization study. Frontiers in Microbiology. 15. 4 indexed citations

Zhen, Zhao, Jiaming Liu, Fei Wang, et al.. (2020). Deep Learning Based Surface Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image. IEEE Transactions on Industry Applications. 1–1. 167 indexed citations

Wang, Fei, Hua Chai, Yili Yu, et al.. (2019). Deep Learning Based Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image. 1–9. 20 indexed citations

Wang, Fei, et al.. (2018). Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting. Applied Sciences. 8(8). 1286–1286. 151 indexed citations

Wang, Fei, Liming Liu, Yili Yu, et al.. (2018). Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response. Energies. 11(4). 770–770. 43 indexed citations

Wang, Fei, Chun Liu, Yili Yu, et al.. (2018). Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting. Energy Conversion and Management. 181. 443–462. 259 indexed citations

Wang, Fei, Yili Yu, Xinkang Wang, et al.. (2018). Residential Electricity Consumption Level Impact Factor Analysis Based on Wrapper Feature Selection and Multinomial Logistic Regression. Energies. 11(5). 1180–1180. 13 indexed citations

Yu, Yili, Bo Wang, Zheng Wang, Fei Wang, & Liming Liu. (2017). Wrapper feature selection based multiple logistic regression model for determinants analysis of residential electricity consumption. 38. 1–8. 1 indexed citations

Jiang, Xuewei, Zhichao Fan, Yili Yu, et al.. (2014). Toluidine blue O and porphyrin-mediated photodynamic therapy on three main pathogenic bacteria of periodontitis using portable LED phototherapy device. Journal of Innovative Optical Health Sciences. 8(4). 1550017–1550017. 10 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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