Check engineering papers: citations, claims and retractions

Continuous-time distributed convex optimization on weight-balanced digraphs

Gharesifard, B., & Cortes, J. (2012) · 2012 IEEE 51st IEEE Conference on Decision and Control (CDC)

Distributed Control Multi-Agent SystemsOptimization and Variational Analysis

Cited by 32

Ultrasensitive turn-on luminescence humidity sensor based on a perovskite/zeolite composite

Gao, Y.-J., Romolini, G., Huang, H., Jin, H., Saha, R. A., Ghosh, B., De Ras, M., Wang, C., Steele, J. A., Debroye, E., et al. (2022) · Journal of Materials Chemistry C

Gas Sensing Nanomaterials and SensorsPerovskite Materials and Applications

Cited by 32

Cyberspace: A Digital Ecosystem

Lippert, K. J., & Cloutier, R. (2021) · Systems

Systems Engineering Methodologies and ApplicationsComplex Systems and Dynamics

Cited by 32

Periodic sampling errors in terahertz time-domain measurements

Rehn, A., Jahn, D., Balzer, J. C., & Koch, M. (2017) · Optics Express

Terahertz technology and applicationsLaser-Matter Interactions and Applications

Cited by 32

Enabling mass integration of electric vehicles through distributed energy resource management systems

Strezoski, L., & Stefani, I. (2024) · International Journal of Electrical Power & Energy Systems

Electric Vehicles and InfrastructureSmart Grid Energy Management

Cited by 32

Deep Reinforcement Learning for Traffic Signal Control Model and Adaptation Study

Tan, J., Yuan, Q., Guo, W., Xie, N., Liu, F., Wei, J., & Zhang, X. (2022) · Sensors

Traffic control and managementTraffic Prediction and Management Techniques

Cited by 32

Bonding of recycled fibres with urea-formaldehyde resins

Roffael, E., Behn, C., Schneider, T., & Krug, D. (2016) · International Wood Products Journal

Wood Treatment and PropertiesNatural Fiber Reinforced Composites

Cited by 32

A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation

Xie, T., Jiang, H., Zhao, X., & Zhang, C. (2019) · Sensors

Indoor and Outdoor Localization TechnologiesOptical Wireless Communication Technologies

Cited by 32

A flexible anisotropic self-powered piezoelectric direction sensor based on double sided ZnO nanowires configuration

Nour, E. S., Chey, C. O., Willander, M., & Nur, O. (2015) · Nanotechnology

Advanced Sensor and Energy Harvesting MaterialsInnovative Energy Harvesting Technologies

Cited by 32

Data-driven risk analysis of joint electric vehicle and solar operation in distribution networks

Palomino, A., & Parvania, M. (2020) · IEEE Open Access Journal of Power and Energy

Electric Vehicles and InfrastructureOptimal Power Flow Distribution

Cited by 32

Degradation of Platinum-Cobalt Alloy PEMFC Cathode Catalysts in Catalyst-Ionomer Inks

Myers, D. J., Kropf, A. J., Wegener, E. C., Mistry, H., Kariuki, N., & Park, J. (2021) · Journal of The Electrochemical Society

Fuel Cells and Related MaterialsElectrocatalysts for Energy Conversion

Cited by 32

Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing

Jawaid, M., Elms, E., Latif, Y., & Chin, T.-J. (2023) · 2023 IEEE International Conference on Robotics and Automation (ICRA)

Space Satellite Systems and ControlDomain Adaptation and Few-Shot Learning

Cited by 32

Factors contributing to delay in driving licensure among U.S. high school students and young adults

Vaca, F. E., Li, K., Tewahade, S., Fell, J. C., Haynie, D. L., Simons-Morton, B. G., & Romano, E. (2021) · Journal of Adolescent Health

Traffic and Road SafetyAdolescent Sexual and Reproductive Health

Cited by 32

A Novel Approach for Sizing Battery Storage System for Enhancing Resilience Ability of a Microgrid

Zahraoui, Y., Alhamrouni, I., Mekhilef, S., Basir Khan, M. R., Hayes, B. P., & Ahmed, M. (2021) · International Transactions on Electrical Energy Systems

Microgrid Control and OptimizationOptimal Power Flow Distribution

Cited by 32

The ecological footprint of medical AI

Truhn, D., Müller-Franzes, G., & Kather, J. N. (2023) · European Radiology

Green IT and SustainabilityArtificial Intelligence in Healthcare and Education

Cited by 32

Architecture Exploration for a High-Performance and Low-Power Wireless Vibration Analyzer

Shahzad, K., Cheng, P., & Oelmann, B. (2013) · IEEE Sensors Journal

Machine Fault Diagnosis TechniquesAnalog and Mixed-Signal Circuit Design

Cited by 32

Artificial neural network approach to predict the lubricated friction coefficient

Echávarri Otero, J., de la Guerra Ochoa, E., Chacón Tanarro, E., Lafont Morgado, P., Díaz Lantada, A., Munoz‐Guijosa, J. M., & Muñoz Sanz, J. L. (2014) · Lubrication Science

Tribology and Lubrication EngineeringLubricants and Their Additives

Cited by 32

Compressed-Sensing-Based Periodic Impulsive Feature Detection for Wind Turbine Systems

Du, Z., Chen, X., Zhang, H., & Yang, B. (2017) · IEEE Transactions on Industrial Informatics

Machine Fault Diagnosis TechniquesSparse and Compressive Sensing Techniques

Cited by 32

A decade-spanning high-resolution asynchronous optical sampling terahertz time-domain and frequency comb spectrometer

Good, J. T., Holland, D. B., Finneran, I. A., Carroll, P. B., Kelley, M. J., & Blake, G. A. (2015) · Review of Scientific Instruments

Terahertz technology and applicationsSpectroscopy and Laser Applications

Cited by 32

Any-angle path planning on non-uniform costmaps

Choi, S., & Yu, W. (2011) · 2011 IEEE International Conference on Robotics and Automation

Robotic Path Planning AlgorithmsArtificial Intelligence in Games

Cited by 32

State-of-Health prediction of lithium-ion batteries based on a low dimensional Gaussian Process Regression

Pohlmann, S., Mashayekh, A., Stroebl, F., Karnehm, D., Kuder, M., Neve, A., & Weyh, T. (2024) · Journal of Energy Storage

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 32

Systematic analysis of needs and requirements for the design of smart manufacturing systems in SMEs

Rauch, E., & Vickery, A. R. (2020) · Journal of Computational Design and Engineering

Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems

Cited by 32

End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales

Bai, Y., Sezen, H., & Yilmaz, A. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)

Infrastructure Maintenance and MonitoringStructural Health Monitoring Techniques

Cited by 32

Reinforcement learning control for a class of discrete-time non-strict feedback multi-agent systems and application to multi-marine vehicles

Bai, W., Chen, D., Zhao, B., & D'Ariano, A. (2025) · IEEE Transactions on Intelligent Vehicles

Adaptive Dynamic Programming ControlReinforcement Learning in Robotics

Cited by 31