Zhao Yang Dong
Electrical and Electronic Engineering · IEEE Transactions on Power Systems · 2000–2021
A researcher in the Science corpus: 14 papers; trusts 44 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 110 citations into it; #10,783 of 16,539 by trust here, #4,283 by citations
- Artificial Intelligence — 56 citations into it; #35,244 of 35,345 by trust here, #15,542 by citations
- Control and Systems Engineering — 49 citations into it; #6,170 of 8,257 by trust here, #1,545 by citations
- Computer Networks and Communications — 36 citations into it
- Safety, Risk, Reliability and Quality — 18 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Model Architectures — 13 citations into it
- Natural Language Processing — 10 citations into it
Whom Zhao Yang Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammad Shahidehpour
- Alex Graves
- R. Fang
- Ilya Sutskever
- Roger Fletcher
- Paul J. Werbos
- Yoshua Bengio
- Kalyanmoy Deb
- Geoffrey E. Hinton
- James Kennedy
Who trusts Zhao Yang Dong overall
Papers from Zhao Yang Dong's perspective
Ordered by how strongly the researchers Zhao Yang Dong trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine (2014) — 685 citations
- A Review of False Data Injection Attacks Against Modern Power Systems (2017) — 897 citations
- Short-Term Residential Load Forecasting Based on Resident Behaviour Learning (2018) — 517 citations
- Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market (2009) — 193 citations
- A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids (2020) — 592 citations
- Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network (2019) — 2,183 citations
- Coordinated Control of Grid-Connected Photovoltaic Reactive Power and Battery Energy Storage Systems to Improve the Voltage Profile of a Residential Distribution Feeder (2014) — 332 citations
- Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch (2010) — 323 citations
- Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks (2019) — 361 citations
- Multi-Stage Flexible Expansion Co-Planning Under Uncertainties in a Combined Electricity and Gas Market (2015) — 144 citations
- Optimal Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations (2014) — 299 citations
- A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications (2021) — 209 citations
- Comparison of BR and QR Eigenvalue Algorithms for Power System Small Signal Stability Analysis (2006) — 47 citations
- Computation of Bifurcation Boundaries for Power Systems: a New (2000) — 67 citations