Mingyu Dong

919 total citations
42 papers, 591 citations indexed

About

Mingyu Dong is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Mingyu Dong has authored 42 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 12 papers in Control and Systems Engineering. Recurrent topics in Mingyu Dong's work include Smart Grid Energy Management (7 papers), Microgrid Control and Optimization (6 papers) and Machine Learning and ELM (5 papers). Mingyu Dong is often cited by papers focused on Smart Grid Energy Management (7 papers), Microgrid Control and Optimization (6 papers) and Machine Learning and ELM (5 papers). Mingyu Dong collaborates with scholars based in China, Germany and United States. Mingyu Dong's co-authors include Fengkai Gao, Min Liu, Yunqiang Duan, Chao Yang, Tingting Cai, Shiming Tian, Ke Chen, LI Guo-hu, Ling Wang and Cheng Wu and has published in prestigious journals such as Food Chemistry, IEEE Transactions on Industrial Electronics and International Journal of Environmental Research and Public Health.

In The Last Decade

Mingyu Dong

37 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingyu Dong China	12	170	101	95	80	73	42	591
Jinlai Zhang China	20	48 0.3×	74 0.7×	141 1.5×	65 0.8×	58 0.8×	64	1.1k
Neng Fan United States	17	396 2.3×	40 0.4×	57 0.6×	185 2.3×	76 1.0×	73	903
Erdal Kılıç Türkiye	16	126 0.7×	80 0.8×	189 2.0×	100 1.3×	23 0.3×	76	969
Mohamed Riduan Abid Morocco	14	322 1.9×	46 0.5×	67 0.7×	120 1.5×	19 0.3×	45	841
J. Carlos Garcı́a-Dı́az Spain	17	109 0.6×	56 0.6×	45 0.5×	66 0.8×	177 2.4×	47	723
Tong Qiu China	21	89 0.5×	198 2.0×	89 0.9×	498 6.2×	35 0.5×	82	1.3k
Yunfei Cui China	9	174 1.0×	134 1.3×	97 1.0×	227 2.8×	56 0.8×	21	785
Kai-Tai Fang Hong Kong	7	70 0.4×	95 0.9×	75 0.8×	42 0.5×	133 1.8×	12	902
Zhe Yang China	13	202 1.2×	67 0.7×	330 3.5×	45 0.6×	29 0.4×	42	1.0k
Ken Cai China	13	59 0.3×	53 0.5×	127 1.3×	35 0.4×	18 0.2×	32	783

Countries citing papers authored by Mingyu Dong

Since Specialization

Citations

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

Fields of papers citing papers by Mingyu Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Dong

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

Dong, Mingyu, Nianjie Feng, Mengyun Zhang, et al.. (2024). Recent research on the physicochemical properties and biological activities of quinones and their practical applications: a comprehensive review. Food & Function. 15(18). 8973–8997. 11 indexed citations

Zhang, Mengyun, et al.. (2024). Inhibition of polyphenols on Maillard reaction products and their induction of related diseases: A comprehensive review. Phytomedicine. 128. 155589–155589. 9 indexed citations

Liu, Lu, Jiahan Zhang, Lan Wang, et al.. (2023). Reinforcing alginate matrixes by tea polysaccharide conjugates or their stabilized nanoemulsion for probiotics encapsulation: Characterization, survival after gastrointestinal digestion and ambient storage. International Journal of Biological Macromolecules. 253(Pt 3). 126828–126828. 8 indexed citations

Dong, Mingyu, Diqun Yan, & Rangding Wang. (2023). Adversarial Examples Protect Your Privacy on Speech Enhancement System. Computer Systems Science and Engineering. 46(1). 1–12. 1 indexed citations

Hu, Weiguo, et al.. (2023). Two Twin Extreme Learning Machines for Regression and Their Applications in Industry. 1–6.

Li, Qian, Lu Liu, Jiahan Zhang, et al.. (2022). Effects of pile fermentation on the physicochemical, functional, and biological properties of tea polysaccharides. Food Chemistry. 410. 135353–135353. 25 indexed citations

Yan, Diqun, et al.. (2022). Black-box adversarial attacks through speech distortion for speech emotion recognition. EURASIP Journal on Audio Speech and Music Processing. 2022(1). 3 indexed citations

Liu, Min, et al.. (2019). A mobile vision inspection system for tiny defect detection on smooth car-body surfaces based on deep ensemble learning. Measurement Science and Technology. 30(12). 125905–125905. 43 indexed citations

Ju, Yuntao, Zifeng Zhang, Jianhua Chen, et al.. (2019). A Semi-smooth Projected Levenberg-Marquardt Power Flow Method to Cope With the Constraints Exchange Issue. 213–218. 1 indexed citations

10.

Shi, Kun, et al.. (2019). Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration. Processes. 7(2). 63–63. 10 indexed citations

11.

Liu, Huanan, et al.. (2018). Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales. Applied Sciences. 8(9). 1453–1453. 13 indexed citations

12.

Zhang, J., et al.. (2018). Variational Bayesian inference for interval regression with an asymmetric Laplace distribution. Neurocomputing. 323. 214–230. 6 indexed citations

13.

Li, Dezhi, et al.. (2017). Rule Based Coordinated Control of Domestic Combined Micro-CHP and Energy Storage System for Optimal Daily Cost. Applied Sciences. 8(1). 8–8. 7 indexed citations

14.

Liu, Min, et al.. (2017). Low-rank manifold optimization for overlay variations in lithography process. Journal of Process Control. 62. 11–23. 2 indexed citations

15.

Liu, Min, et al.. (2016). Riemannian Alternative Matrix Completion for Image-Based Flame Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 27(11). 2490–2503. 11 indexed citations

16.

Duan, Yunqiang, Min Liu, Mingyu Dong, & Cheng Wu. (2015). A Two-stage Clustered Multi-Task Learning method for operational optimization in Chemical Mechanical Polishing. Journal of Process Control. 35. 169–177. 10 indexed citations

17.

Liu, Min, et al.. (2014). Two Efficient Twin ELM Methods With Prediction Interval. IEEE Transactions on Neural Networks and Learning Systems. 26(9). 2058–2071. 17 indexed citations

18.

Dong, Mingyu & Min Liu. (2011). An ANFIS-based dispatching rule for complex fuzzy job shop scheduling problem. 1. 263–266. 6 indexed citations

19.

Guo-hu, LI, Min Liu, & Mingyu Dong. (2010). A new online learning algorithm for structure-adjustable extreme learning machine. Computers & Mathematics with Applications. 60(3). 377–389. 32 indexed citations

20.

Dong, Mingyu. (2009). SOA message-oriented middleware based system integration method for business process. Computer Integrated Manufacturing Systems.

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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