World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
11481
World Ranking
4817
National Ranking
645

Electronics and Electrical Engineering

D-Index
59
Citations
14588
World Ranking
1730
National Ranking
289

Research.com Recognitions

  • 2020 - ACM Distinguished Member

Overview

Minghua Chen is affiliated with the City University of Hong Kong in China. Their research spans multiple areas within engineering and computer science, with a significant focus on electrical and electronic engineering as well as computer networks and communications.

The scientist has contributed extensively to topics including:

  • Optimal Power Flow Distribution
  • Banking stability, regulation, efficiency
  • Electric Power System Optimization
  • Energy Load and Power Forecasting
  • Cloud Computing and Resource Management
  • Optimization and Search Problems
  • Power System Optimization and Stability

Minghua Chen has been published in a range of notable venues. Frequently appearing outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Power Systems
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE/ACM Transactions on Networking
  • IEEE Systems Journal

The scientist's recent papers include:

  • "DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow" (2020, IEEE Transactions on Power Systems)
  • "DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems" (2022, IEEE Systems Journal)
  • "Economic uncertainty and bank risk: Evidence from emerging economies" (2020, Journal of International Financial Markets Institutions and Money)
  • "DeepOPF-V: Solving AC-OPF Problems Efficiently" (2021, IEEE Transactions on Power Systems)
  • "Diversification, efficiency and risk of banks: Evidence from emerging economies" (2020, Emerging Markets Review)

Frequent co-authors collaborating with Minghua Chen include Steven H. Low, Ji Wu, Qiulin Lin, Chi-Kin Chau, and Xiang Pan.

In addition to journal articles, Minghua Chen has contributed a book published by Morgan & Claypool Publishers titled Online Capacity Provisioning for Energy-Efficient Datacenters (2022).

The scientist has produced research in the fields of engineering, with 103 publications, and computer science, with 50 publications. Subfields notably covered are electrical and electronic engineering (63 publications), computer networks and communications (33 publications), finance (13 publications), accounting (11 publications), and information systems (10 publications).

Minghua Chen was recognized as an ACM Distinguished Member in 2020.

Best Publications

  • Pyramid Codes: Flexible Schemes to Trade Space for Access Efficiency in Reliable Data Storage Systems

    Cheng Huang;Minghua Chen;Jin Li

  • Emerging of Heterostructure Materials in Energy Storage: A Review.

    Yu Li;Jiawei Zhang;Jiawei Zhang;Qingguo Chen;Xinhui Xia

  • Joint VM placement and routing for data center traffic engineering

    Joe Wenjie Jiang;Tian Lan;Sangtae Ha;Minghua Chen

  • Advances and prospects of PVDF based polymer electrolytes

    Yixin Wu;Yu Li;Yang Wang;Qian Liu

  • Markov Approximation for Combinatorial Network Optimization

    Minghua Chen;Soung Chang Liew;Ziyu Shao;Caihong Kai

  • Photonic machine learning with on-chip diffractive optics

    Unknown

  • Rate control for streaming video over wireless

    Minghua Chen;A. Zakhor

  • Rate control for streaming video over wireless

    Minghua Chen;Avideh Zakhor

  • DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow

    Xiang Pan;Tianyu Zhao;Minghua Chen;Shengyu Zhang

  • Hiding privacy information in video surveillance system

    Wei Zhang;S.S. Cheung;Minghua Chen

  • Understanding Performance of Edge Content Caching for Mobile Video Streaming

    Ge Ma;Zhi Wang;Miao Zhang;Jiahui Ye

  • A Photonic Microwave Frequency Quadrupler Using Two Cascaded Intensity Modulators With Repetitious Optical Carrier Suppression

    Jian Zhang;Hongwei Chen;Minghua Chen;Tianliang Wang

  • Moving Big Data to The Cloud: An Online Cost-Minimizing Approach

    Linquan Zhang;Chuan Wu;Zongpeng Li;Chuanxiong Guo

  • CALMS: Cloud-assisted live media streaming for globalized demands with time/region diversities

    Feng Wang;Jiangchuan Liu;Minghua Chen

  • Challenges and design strategies for high performance aqueous zinc ion batteries

    Xingyu Zhao;Xinqi Liang;Yu Li;Qingguo Chen

  • Construction of Co3O4 nanotubes as high-performance anode material for lithium ion batteries

    Minghua Chen;Xinhui Xia;Xinhui Xia;Jinghua Yin;Qingguo Chen

  • High Energy Storage Density for Poly(vinylidene fluoride) Composites by Introduced Core–Shell CaCu3Ti4O12@Al2O3 Nanofibers

    Qingguo Chi;Qingguo Chi;Xubin Wang;Changhai Zhang;Qingguo Chen

  • Enabling Multilevel Trust in Privacy Preserving Data Mining

    Yaping Li;Minghua Chen;Qiwei Li;Wei Zhang

  • DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems

    Xiang Pan;Minghua Chen;Tianyu Zhao;Steven H. Low

  • Capacity of large-scale CSMA wireless networks

    Chi-Kin Chau;Minghua Chen;Soung Chang Liew

  • Predicting positive and negative links in signed social networks by transfer learning

    Jihang Ye;Hong Cheng;Zhe Zhu;Minghua Chen

  • Migration towards cloud-assisted live media streaming

    Feng Wang;Jiangchuan Liu;Minghua Chen;Haiyang Wang

  • Utility maximization in peer-to-peer systems

    Minghua Chen;Miroslav Ponec;Sudipta Sengupta;Jin Li

Frequent Co-Authors

Jin Li
Jin Li Microsoft (United States)
Haibo Zeng
Haibo Zeng Nanjing University of Science and Technology
Sudipta Sengupta
Sudipta Sengupta Amazon (United States)
Xiaojun Lin
Xiaojun Lin Purdue University West Lafayette
Philip A. Chou
Philip A. Chou Google (United States)
Zongpeng Li
Zongpeng Li Tsinghua University
Soung Chang Liew
Soung Chang Liew Chinese University of Hong Kong
Steven H. Low
Steven H. Low California Institute of Technology
Mung Chiang
Mung Chiang Purdue University West Lafayette
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley

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