Ran Tian
Engineering · Purdue University West Lafayette
Publications
133
Citations
1,681
Est. group size
—
Recurring co-author estimate
Active years
28
Publishing since 1999
This publication record appears to combine work from multiple researchers sharing the same name, covering logistics and transportation optimization using reinforcement learning, iron ore reduction and steelmaking processes, and scattered topics in environmental science, remote sensing, and biology. The transportation-focused work centers on applying deep reinforcement learning to problems like pickup-and-delivery routing, electric vehicle charging station pricing, and load prediction. The materials-science-related work investigates hydrogen-based, lower-carbon methods for producing iron and steel.
Publication output grew substantially from 2017 to a peak around 2023-2024, with a slight decline in 2025, suggesting a period of strong growth followed by recent leveling off.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Restoration-Guided Multi-Hazard Detection in Hazy Remote Sensing Images
2026
- Drift-aware experience replay for continual EEG-based disease recognition
Neurocomputing · 2026
- Multi-Scale Spatial-Temporal Graph Attention Network for Charging Station Load Prediction
IEEE Access · 2025
- PTB: A deep reinforcement learning method for flexible logistics service combination problem with spatial-temporal constraint
Transportation Research Part E Logistics and Transportation Review · 2025
- Efficiency and mechanism of Co-Mn-Fe loaded diatomite for the activation of peroxymonosulfate to degrade organic pollutants
Journal of Alloys and Compounds · 2025
- A carbon-free and energy-efficient pathway to direct reduced iron production: Hydrogen cooling reduction of iron ore pellets
International Journal of Hydrogen Energy · 2025
- Facile preparation of direct reduced iron by hydrogen cooling reduction of iron ore pellets: Effect of endpoint temperature
Journal of Industrial and Engineering Chemistry · 2025
- Deep reinforcement learning solve the task fairness-oriented flexible pickup and delivery problem
Expert Systems with Applications · 2025
- Rapid Solution for Flexible Pickup and Delivery Services Problem Based on Improved Actor-Critic Deep Reinforcement Learning
IEEE Transactions on Intelligent Transportation Systems · 2025
- Effects of SiO2 and MgO on Hydrogen Reduction of Fe2O3
The minerals, metals & materials series · 2025
- A fast solution method for the Dynamic Flexible Pickup and Delivery Problem with task allocation fairness for multiple vehicles
Neurocomputing · 2025
- A Reinforcement Learning Approach to the Multi-Vehicle Loading Sequence Optimization Problem for Revenue Balance
SSRN Electronic Journal · 2025
- D <sup>3</sup> PGSA: A Dual-Value Deep Deterministic Policy Gradient Based on Sample Augmentation for Dynamic Pricing of Electric Vehicle Charging Station
IEEE Transactions on Intelligent Transportation Systems · 2025
- Reduction of Iron Ore Sinter by Hydrogen for Sustainable Ironmaking
JOM · 2025
- A Reinforcement Learning Approach to the Multi-vehicle Loading Sequence Optimization Problem for Revenue Balance
SSRN Electronic Journal · 2025
- arXiv (Cornell University)×13
- SSRN Electronic Journal×7
- Lecture notes in electrical engineering×5
- Computers & Industrial Engineering×3
- Plants×3
- Edward D. Cox
Engineering · Purdue University West Lafayette
- Benjamin Coifman
Engineering · The Ohio State University
- Darcy M. Bullock
Engineering · Purdue University West Lafayette
- Deborah Horton
Engineering · Purdue University West Lafayette
- Enrique D. Saldivar-Carranza
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