Jing Jiang
Engineering · Purdue University West Lafayette
Publications
214
Citations
3,224
Est. group size
~2
Recurring co-author estimate
Active years
35
Publishing since 1992
Jing Jiang's work centers on smart grids and microgrids, including how to manage distributed energy resources, forecast energy demand, detect faulty or malicious sensor data, and design resilient control and protection systems for power networks. Related projects apply machine learning (such as deep learning, transformer models, and pseudo-labeling) to tasks like battery health prediction, demand response, and grid state estimation. The publication list also includes some unrelated topics (e.g., materials chemistry, ecology), suggesting shared authorship or naming overlap with other researchers.
Publication output has grown substantially over the last decade, rising from single digits per year (2017-2020) to a sustained higher rate of 18-21 papers annually in 2022, 2024, and 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Learning-enhanced stochastic model predictive control with trustworthy forecasting for resilient multi-energy microgrid operation
Applied Energy · 2026
- Stochastic Incentive-Based Demand Response Program for Virtual Power Plant With Distributed Energy Resources
IEEE Transactions on Industry Applications · 2025
- Precisely mimicking lipoxidase with histidine coordinated Fe-MOF for temperature-adaptive antiviral protection
Nano Today · 2025
- Design and development of a high-performance epoxidized polyvinyl alcohol/chitosan dual cross-linked composite binder for the effective suppression of Si anode volume expansion
Journal of Power Sources · 2025
- Spatiotemporal evolution pattern of water yield service of ecosystems in the Shule River Basin, Northwest China, integrating future climate and land use changes
Ecological Indicators · 2025
- A scalable and resilient protection framework for hybrid microgrids using zero injection cluster and graph learning
Applied Energy · 2025
- Scalable and Reliable Data Framework for Sensor-Enabled Virtual Power Plant Digital Twin
IEEE Journal of Selected Areas in Sensors · 2025
- Online Bad Data Detection in Compressed Sensing-Based Distribution System State Estimation
IEEE Transactions on Smart Grid · 2025
- A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response
Energies · 2025
- PIUL-DERs: Physics-informed pseudo-labeling unsupervised learning for smart homes with distributed energy resources
Applied Energy · 2025
- Weather-Aware Energy Forecasting with NeuroFusion: A Hybrid Deep Learning and Gradient Boosting Framework
2025
- Resilient Smart Grid Management through Weather-Informed and Economic Dispatch
2025
- PUL-DERs: Distributed Energy Resources Prediction Algorithm Via Pseudo-Labeling Unsupervised Learning
2025
- PG-DAT: Physics-Guided Domain-Adaptive Transformer for Battery State-of-Health Forecast
2025
- Probabilistic Shaping in MIMO: Going Beyond 1.53dB AWGN Gain With the Non-Linear Demapper
2025
- Applied Energy×8
- arXiv (Cornell University)×6
- IEEE Access×3
- Renewable and Sustainable Energy Reviews×2
- IEEE Communications Magazine×2
- Ramteen Sioshansi
Engineering · The Ohio State University
- Owen Q. Wu
Engineering · Indiana University
- Junjie Qin
Engineering · Purdue University West Lafayette
- Ge Chen
Engineering · Purdue University West Lafayette
- Andrew L. Liu
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile