Yeming Dai

878 total citations
30 papers, 606 citations indexed

About

Yeming Dai is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Yeming Dai has authored 30 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 11 papers in Management Science and Operations Research and 6 papers in Control and Systems Engineering. Recurrent topics in Yeming Dai's work include Energy Load and Power Forecasting (13 papers), Smart Grid Energy Management (11 papers) and Grey System Theory Applications (7 papers). Yeming Dai is often cited by papers focused on Energy Load and Power Forecasting (13 papers), Smart Grid Energy Management (11 papers) and Grey System Theory Applications (7 papers). Yeming Dai collaborates with scholars based in China and Hong Kong. Yeming Dai's co-authors include Pei Zhao, Mingming Leng, Xinyu Yang, Hongwei Gao, Yan Gao, Qiong Zhou, Yanxin Wang, Yanxin Wang, Qiong Zhou and Weijie Yu and has published in prestigious journals such as Applied Energy, Energy and Renewable Energy.

In The Last Decade

Yeming Dai

27 papers receiving 583 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yeming Dai	449	146	105	91	90	30	606
Xifeng Guo	318 0.7×	158 1.1×	71 0.7×	53 0.6×	75 0.8×	41	510
Karl Mason	318 0.7×	200 1.4×	57 0.5×	61 0.7×	60 0.7×	28	666
Kianoosh G. Boroojeni	490 1.1×	102 0.7×	66 0.6×	48 0.5×	256 2.8×	22	655
Hangxia Zhou	432 1.0×	308 2.1×	66 0.6×	191 2.1×	54 0.6×	17	581
Sérgio Ramos	682 1.5×	95 0.7×	52 0.5×	131 1.4×	166 1.8×	72	841
Elissaios Sarmas	510 1.1×	232 1.6×	82 0.8×	142 1.6×	43 0.5×	68	838
Debopriya Roy Dipta	332 0.7×	70 0.5×	46 0.4×	32 0.4×	110 1.2×	11	516
Narjes Fallah	363 0.8×	95 0.7×	58 0.6×	33 0.4×	86 1.0×	9	497
Yunxuan Dong	371 0.8×	158 1.1×	123 1.2×	22 0.2×	43 0.5×	20	546
Sheng-Xiang Lv	410 0.9×	248 1.7×	204 1.9×	38 0.4×	51 0.6×	14	697

Countries citing papers authored by Yeming Dai

Since Specialization

Citations

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

Fields of papers citing papers by Yeming Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeming Dai

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

All Works

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20 of 20 papers shown

Yu, Weijie, Yeming Dai, Tao Ren, & Mingming Leng. (2025). Short-time photovoltaic power forecasting based on Informer model integrating Attention Mechanism. Applied Soft Computing. 178. 113345–113345. 2 indexed citations

Dai, Yeming, et al.. (2025). A real-time pricing scheme in power market with renewable energy considering different advertising attractiveness. Electric Power Systems Research. 249. 112058–112058.

Dai, Yeming, et al.. (2025). A photovoltaic power forecasting framework based on Attention mechanism and parallel prediction architecture. Applied Energy. 391. 125869–125869. 5 indexed citations

Dai, Yeming & Wei–Jie Yu. (2024). Short-term power load forecasting based on Seq2Seq model integrating Bayesian optimization, temporal convolutional network and attention. Applied Soft Computing. 166. 112248–112248. 19 indexed citations

Dai, Yeming, Weijie Yu, & Mingming Leng. (2024). A hybrid ensemble optimized BiGRU method for short-term photovoltaic generation forecasting. Energy. 299. 131458–131458. 37 indexed citations

Dong, Lina & Yeming Dai. (2024). Research on Alliance Decision of Dual-Channel Remanufacturing Supply Chain Considering Bidirectional Free-Riding and Cost-Sharing. Computer Modeling in Engineering & Sciences. 140(3). 2913–2956.

Dai, Yeming, et al.. (2023). Short-Term Photovoltaic Power Generation Forecasting with Lowess Smoothing, Feature Selection, and Optimized Bigru. SSRN Electronic Journal. 1 indexed citations

Dai, Yeming, Xinyu Yang, & Mingming Leng. (2023). Optimized Seq2Seq model based on multiple methods for short-term power load forecasting. Applied Soft Computing. 142. 110335–110335. 22 indexed citations

Dai, Yeming, Qiong Zhou, Mingming Leng, Xinyu Yang, & Yanxin Wang. (2022). Improving the Bi-Lstm Model with Xgboost and Attention Mechanism: A Combined Approach for Short-Term Power Load Prediction. SSRN Electronic Journal. 2 indexed citations

10.

Dai, Yeming, et al.. (2022). A novel alternative energy trading mechanism for different users considering value-added service and price competition. Computers & Industrial Engineering. 172. 108531–108531. 7 indexed citations

11.

Dai, Yeming, Xinyu Yang, & Mingming Leng. (2022). Forecasting power load: A hybrid forecasting method with intelligent data processing and optimized artificial intelligence. Technological Forecasting and Social Change. 182. 121858–121858. 15 indexed citations

12.

Dai, Yeming, Yanxin Wang, Mingming Leng, Xinyu Yang, & Qiong Zhou. (2022). LOWESS smoothing and Random Forest based GRU model: A short-term photovoltaic power generation forecasting method. Energy. 256. 124661–124661. 87 indexed citations

13.

Dai, Yeming, et al.. (2021). A real-time, personalized consumption-based pricing scheme for the consumptions of traditional and renewable energies. Renewable Energy. 180. 452–466. 16 indexed citations

14.

Dai, Yeming & Pei Zhao. (2020). A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization. Applied Energy. 279. 115332–115332. 144 indexed citations

15.

Dai, Yeming, et al.. (2019). A real-time pricing scheme considering load uncertainty and price competition in smart grid market. Journal of Industrial and Management Optimization. 16(2). 777–793. 12 indexed citations

16.

Dai, Yeming, et al.. (2019). Real‐time pricing in smart community with constraint from the perspective of advertising game. International Transactions on Electrical Energy Systems. 29(9). 14 indexed citations

17.

Dai, Yeming, et al.. (2018). A demand response approach considering retailer incentive mechanism based on Stackelberg game in smart grid with multi retailers. International Transactions on Electrical Energy Systems. 28(9). e2590–e2590. 14 indexed citations

18.

Ji, Ying, Shaojian Qu, & Yeming Dai. (2018). A new approach for worst-case regret portfolio optimization problem. Discrete and Continuous Dynamical Systems - S. 12(4&5). 761–770. 1 indexed citations

19.

Qu, Shaojian, et al.. (2017). Distributionally robust games with an application to supply chain. Journal of Intelligent & Fuzzy Systems. 33(5). 2749–2762. 8 indexed citations

20.

Dai, Yeming & Yan Gao. (2014). Real-Time Pricing Decision Making for Retailer-Wholesaler in Smart Grid Based on Game Theory. Abstract and Applied Analysis. 2014. 1–7. 9 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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