Lei Wang
Engineering · The Ohio State University
Publications
408
Citations
5,777
Est. group size
—
Recurring co-author estimate
Active years
29
Publishing since 1998
This researcher works broadly in wireless networking and sensing systems, covering topics such as wireless charging, WiFi-based sensing and identification, underwater and IoT sensor networks, and localization. Recent work also branches into applying AI/machine learning to engineering education reform, industrial IoT anomaly detection, and energy systems such as hybrid renewable power scheduling. The publication record spans many venues and topics, suggesting a research group active across several subfields of networked and intelligent systems rather than a single narrow specialty.
Publication output grew substantially from 2017 to a peak in 2022, then has remained fairly steady at a high level (around 33-39 per year) through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- THE SMART EXPERIMENTAL REFORM OF PRINCIPLES OF CHEMICAL ENGINEERING LABORATORY COURSE FOR CHEMICAL ENGINEERING MAJORS UNDER THE EMERGING ENGINEERING EDUCATION
World Journal of Educational Studies · 2026
- HumVDetClas: A context-aware heterogeneous ensemble for detecting and classifying human value violations in app reviews
Expert Systems with Applications · 2026
- AI-EMPOWERED INDUSTRY-EDUCATION INTEGRATION: TEACHING REFORM EXPLORATION IN LITHIUM-ION BATTERY MANUFACTURING TECHNOLOGY
World Journal of Educational Studies · 2026
- From One Form of Energy to Another: Laser-Induced Injection Attacks on Acoustic Sensing
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2026
- TEACHING REFORM EXPLORATION FOR THE “LITHIUM-ION BATTERY MATERIALS TECHNOLOGY” COURSE UNDER THE BACKGROUND OF AI-EMPOWERED NEW ENGINEERING
World Journal of Educational Studies · 2026
- Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks
Scientific Reports · 2025
- Credible capacity gain identification method of peak-shaving scheduling of cascade hydro-wind-solar complementary system
Renewable Energy · 2025
- Hybrid modeling of adsorption process using mass transfer and machine learning techniques for concentration prediction
Journal of Saudi Chemical Society · 2025
- A lightweight image segmentation network leveraging inception and squeeze-excitation modules for efficient skin lesion analysis
Engineering Applications of Artificial Intelligence · 2025
- Wireless Charging for Uncertain Location Nodes
IEEE Transactions on Mobile Computing · 2025
- VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks
ACM Transactions on Autonomous and Adaptive Systems · 2025
- ReCAP: Reliability–Capacity Aware Joint Controller Placement and Routing Using a Hybrid AI Approach
IEEE Transactions on Reliability · 2025
- EMOPP-IRS: Evolutionary Multi-Objective Path Planning for Intelligent IRS-Assisted IoT Networks
IEEE Open Journal of the Communications Society · 2025
- PowerNetMax: A DRL-GNN framework for IRS-Assisted IOT network optimization
Computer Networks · 2025
- WiMTI: A multitask learning model for WiFi-based identity and posture recognition
Neural Networks · 2025
- arXiv (Cornell University)×20
- IEEE Transactions on Mobile Computing×10
- IEEE Internet of Things Journal×8
- IEEE Access×8
- Sensors×7
- Vijay Raghunathan
Engineering · Purdue University West Lafayette
- Walter D. Leon-Salas
Engineering · Purdue University West Lafayette
- Jung-Hoon Kim
Engineering · Purdue University West Lafayette
- Ramin Yarinezhad
Computer Science · The Ohio State University
- Jin Wang
Engineering · The Ohio State University
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 19, 2026.
Claim or correct this profile