Yao Dong

1.5k total citations
33 papers, 1.3k citations indexed

About

Yao Dong is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Yao Dong has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 15 papers in Management Science and Operations Research and 13 papers in Artificial Intelligence. Recurrent topics in Yao Dong's work include Energy Load and Power Forecasting (20 papers), Grey System Theory Applications (13 papers) and Electric Power System Optimization (7 papers). Yao Dong is often cited by papers focused on Energy Load and Power Forecasting (20 papers), Grey System Theory Applications (13 papers) and Electric Power System Optimization (7 papers). Yao Dong collaborates with scholars based in China, United States and Australia. Yao Dong's co-authors include Jianzhou Wang, He Jiang, Jie Wu, Xiao Ling, Ge Zhao, Yuanyuan Wang, Jianzhou Wang, Yunxuan Dong, Haiyan Lu and Xiaomeng Shi and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Energy Policy.

In The Last Decade

Yao Dong

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yao Dong China	18	949	453	425	227	143	33	1.3k
Xinsong Niu China	23	1.2k 1.2×	520 1.1×	454 1.1×	101 0.4×	218 1.5×	27	1.6k
Lijie Sun China	16	818 0.9×	319 0.7×	198 0.5×	212 0.9×	51 0.4×	24	1.3k
Jethro Browell United Kingdom	18	895 0.9×	353 0.8×	131 0.3×	130 0.6×	157 1.1×	40	1.1k
H.M.I. Pousinho Portugal	28	1.9k 2.0×	546 1.2×	261 0.6×	149 0.7×	200 1.4×	55	2.3k
S.J.P.S. Mariano Portugal	25	1.6k 1.6×	472 1.0×	214 0.5×	488 2.1×	66 0.5×	122	2.1k
Hao Quan China	18	1.5k 1.5×	662 1.5×	312 0.7×	208 0.9×	79 0.6×	54	1.9k
Hufang Yang China	21	620 0.7×	289 0.6×	304 0.7×	69 0.3×	102 0.7×	28	1.1k
Sinvaldo Rodrigues Moreno Brazil	13	713 0.8×	309 0.7×	192 0.5×	60 0.3×	211 1.5×	18	1.1k
Lambros Ekonomou Greece	23	1.5k 1.6×	262 0.6×	382 0.9×	197 0.9×	87 0.6×	88	2.0k

Countries citing papers authored by Yao Dong

Since Specialization

Citations

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

Fields of papers citing papers by Yao Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Dong. A scholar is included among the top collaborators of Yao Dong 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 Yao Dong. Yao Dong 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

Wang, Jiyang, et al.. (2025). SMA-Activated Double-Stage Yielding BRB: Experimental and FEM Insights. Buildings. 15(17). 3225–3225. 1 indexed citations

Jiang, He, et al.. (2024). Probabilistic electricity price forecasting based on penalized temporal fusion transformer. Journal of Forecasting. 43(5). 1465–1491. 8 indexed citations

Jiang, He, et al.. (2024). Feature selection based on dynamic crow search algorithm for high-dimensional data classification. Expert Systems with Applications. 250. 123871–123871. 9 indexed citations

Jiang, He, et al.. (2021). Sparse and robust estimation with ridge minimax concave penalty. Information Sciences. 571. 154–174. 19 indexed citations

Jiang, He, et al.. (2019). A two-stage minimax concave penalty based method in pruned AdaBoost ensemble. Applied Soft Computing. 83. 105674–105674. 14 indexed citations

Ling, Xiao, Yunxuan Dong, & Yao Dong. (2018). An improved combination approach based on Adaboost algorithm for wind speed time series forecasting. Energy Conversion and Management. 160. 273–288. 68 indexed citations

Wang, Chen, et al.. (2017). Cutting Parameters Optimization Based on ITLBO Algorithm with Big Data Driven. 183. 577–581. 2 indexed citations

Jiang, He & Yao Dong. (2017). Global horizontal radiation forecast using forward regression on a quadratic kernel support vector machine: Case study of the Tibet Autonomous Region in China. Energy. 133. 270–283. 32 indexed citations

Jiang, He & Yao Dong. (2016). A nonlinear support vector machine model with hard penalty function based on glowworm swarm optimization for forecasting daily global solar radiation. Energy Conversion and Management. 126. 991–1002. 50 indexed citations

10.

Jiang, Ping, et al.. (2015). Research and Application of a New Hybrid Forecasting Model Based on Genetic Algorithm Optimization: A Case Study of Shandong Wind Farm in China. Mathematical Problems in Engineering. 2015. 1–14. 8 indexed citations

11.

Ling, Xiao, Jianzhou Wang, Yao Dong, & Jie Wu. (2015). Combined forecasting models for wind energy forecasting: A case study in China. Renewable and Sustainable Energy Reviews. 44. 271–288. 164 indexed citations

12.

Jiang, He, Yao Dong, Jianzhou Wang, & Yuqin Li. (2015). Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation. Energy Conversion and Management. 95. 42–58. 61 indexed citations

13.

Jiang, Ping, et al.. (2014). An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales. Abstract and Applied Analysis. 2014. 1–13. 11 indexed citations

14.

Wang, Jianzhou, Yao Dong, & He Jiang. (2014). A study on the characteristics, predictions and policies of China’s eight main power grids. Energy Conversion and Management. 86. 818–830. 18 indexed citations

15.

Yang, Yi, et al.. (2014). Intelligent Optimized Combined Model Based on GARCH and SVM for Forecasting Electricity Price of New South Wales, Australia. Abstract and Applied Analysis. 2014. 1–9. 7 indexed citations

16.

Dong, Yao, Jianzhou Wang, He Jiang, & Xiaomeng Shi. (2013). Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China. Applied Energy. 109. 239–253. 71 indexed citations

17.

Wu, Jie, Jianzhou Wang, Haiyan Lu, Yao Dong, & Xiaoxiao Lu. (2013). Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model. Energy Conversion and Management. 70. 1–9. 69 indexed citations

18.

Dong, Yao, et al.. (2013). Incremental Principal Component Analysis Method on Online Network Anomaly Detection. 28–28. 2 indexed citations

19.

Wang, Jianzhou, Haiyan Lu, Yao Dong, & Dezhong Chi. (2011). The model of chaotic sequences based on adaptive particle swarm optimization arithmetic combined with seasonal term. Applied Mathematical Modelling. 36(3). 1184–1196. 8 indexed citations

20.

Guo, Zhenhai, Yao Dong, Jianzhou Wang, & Haiyan Lu. (2010). The Forecasting Procedure for Long‐Term Wind Speed in the Zhangye Area. Mathematical Problems in Engineering. 2010(1). 30 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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