Mingyun Gao

1.3k total citations
31 papers, 1000 citations indexed

About

Mingyun Gao is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Economics and Econometrics. According to data from OpenAlex, Mingyun Gao has authored 31 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 10 papers in Electrical and Electronic Engineering and 6 papers in Economics and Econometrics. Recurrent topics in Mingyun Gao's work include Grey System Theory Applications (18 papers), Energy Load and Power Forecasting (10 papers) and Energy, Environment, Economic Growth (6 papers). Mingyun Gao is often cited by papers focused on Grey System Theory Applications (18 papers), Energy Load and Power Forecasting (10 papers) and Energy, Environment, Economic Growth (6 papers). Mingyun Gao collaborates with scholars based in China, Singapore and Canada. Mingyun Gao's co-authors include Qinzi Xiao, Mark Goh, Xinping Xiao, Honglin Yang, Helai Huang, Shuhua Mao, Min Zhu, Ni Dong, Jaeyoung Lee and Mohamed Abdel‐Aty and has published in prestigious journals such as Journal of Cleaner Production, Renewable Energy and Information Sciences.

In The Last Decade

Mingyun Gao

28 papers receiving 973 citations

Peers

Mingyun Gao

MSOR

EEE

SRRQ

TRANS

Huiming Duan China

Cunbin Li China

Michel‐Alexandre Cardin Singapore

Chia-Yon Chen Taiwan

Yuansheng Huang China

Mohsen Shahandashti United States

Yaoguo Dang China

Yongjun Li China

Athanasios Dagoumas Greece

Cunbin Li China

Huiming Duan China

Mingyun Gao

972 ×1.7

MSOR

659 ×2.0

EEE

266 ×1.3

23 ×0.1

SRRQ

58 ×0.4

TRANS

Citations per year, relative to Mingyun Gao Mingyun Gao (= 1×) peers Huiming Duan

Countries citing papers authored by Mingyun Gao

Since Specialization

Citations

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

Fields of papers citing papers by Mingyun Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyun Gao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Junde, Congjun Rao, Mingyun Gao, Xinping Xiao, & Mark Goh. (2025). Efficient calculation of distributed photovoltaic power generation power prediction via deep learning. Renewable Energy. 246. 122901–122901. 10 indexed citations

Xiao, Qinzi, et al.. (2025). How can new quality productivity alleviate rural energy poverty? Evidence from dynamic lag grey relational analysis. Energy Sources Part B Economics Planning and Policy. 21(1).

Gao, Mingyun, et al.. (2025). Mixed-frequency fusion grey panel model for spatiotemporal prediction of photovoltaic power generation. Renewable Energy. 248. 123055–123055. 1 indexed citations

Gao, Mingyun, et al.. (2025). Unbiased forecasting of seasonal wind power generation based on a novel seasonal multivariable grey model. Renewable Energy. 258. 124952–124952.

Luo, Hongyuan, Deyun Wang, Yanhui Li, et al.. (2025). A sample average approximation-based approach for the last mile delivery and pickup problem with load-dependent travel time under uncertainties. Engineering Applications of Artificial Intelligence. 155. 110944–110944.

Gao, Mingyun, et al.. (2025). A matrixed nonlinear grey Bernoulli model for interval number prediction of power generation in East China. Grey Systems Theory and Application. 15(1). 76–98. 1 indexed citations

Gao, Mingyun, et al.. (2025). Dynamic time-delay discrete grey model based on GOWA operator for renewable energy generation cost prediction. Renewable Energy. 242. 122408–122408. 4 indexed citations

Xiao, Qinzi, Mingyun Gao, Lin Chen, & Mark Goh. (2024). Small-batch product quality prediction using a novel discrete Choquet fuzzy grey model with complex interaction information. Information Sciences. 678. 120997–120997. 4 indexed citations

Xiao, Xinping, et al.. (2024). A novel mixed frequency sampling discrete grey model for forecasting hard disk drive failure. ISA Transactions. 147. 304–327. 18 indexed citations

10.

Xiao, Qinzi, Mingyun Gao, Lin Chen, & Juncheng Jiang. (2023). DYNAMIC MULTI-ATTRIBUTE EVALUATION OF DIGITAL ECONOMY DEVELOPMENT IN CHINA: A PERSPECTIVE FROM INTERACTION EFFECT. Technological and Economic Development of Economy. 29(6). 1728–1752. 38 indexed citations

11.

Gao, Mingyun, et al.. (2023). Incentive strategies for low-carbon supply chains with information updating of customer preferences. Journal of Cleaner Production. 410. 137162–137162. 10 indexed citations

12.

Gao, Mingyun, Honglin Yang, Qinzi Xiao, & Mark Goh. (2022). COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts. Socio-Economic Planning Sciences. 83. 101228–101228. 61 indexed citations

13.

Rao, Congjun, Mingyun Gao, Mark Goh, & Xinping Xiao. (2022). Green Supplier Selection Mechanism Based on Information Environment of Z-Numbers. Cognitive Computation. 15(2). 520–533. 6 indexed citations

14.

Gao, Mingyun, Honglin Yang, Qinzi Xiao, & Mark Goh. (2021). A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector. Renewable Energy. 181. 803–819. 114 indexed citations

15.

Xiao, Qinzi, et al.. (2020). Parameter optimization for nonlinear grey Bernoulli model on biomass energy consumption prediction. Applied Soft Computing. 95. 106538–106538. 77 indexed citations

16.

Xiao, Qinzi, et al.. (2020). Grey information coverage interaction relational decision making and its application. Journal of Systems Engineering and Electronics. 31(2). 359–369. 10 indexed citations

17.

Zhai, Xiaoqi, Helai Huang, Mingyun Gao, Ni Dong, & N.N. Sze. (2018). Boundary crash data assignment in zonal safety analysis: An iterative approach based on data augmentation and Bayesian spatial model. Accident Analysis & Prevention. 121. 231–237. 27 indexed citations

18.

Dong, Ni, Helai Huang, Jaeyoung Lee, Mingyun Gao, & Mohamed Abdel‐Aty. (2016). Macroscopic hotspots identification: A Bayesian spatio-temporal interaction approach. Accident Analysis & Prevention. 92. 256–264. 98 indexed citations

19.

Zeng, Qiang, Helai Huang, Xin Pei, S.C. Wong, & Mingyun Gao. (2016). Rule extraction from an optimized neural network for traffic crash frequency modeling. Accident Analysis & Prevention. 97. 87–95. 57 indexed citations

20.

Mao, Shuhua, Mingyun Gao, Xinping Xiao, & Min Zhu. (2015). A novel fractional grey system model and its application. Applied Mathematical Modelling. 40(7-8). 5063–5076. 145 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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