Check engineering papers: citations, claims and retractions

Adaptive Demodulator Using Machine Learning for Orbital Angular Momentum Shift Keying

Li, J., Zhang, M., & Wang, D. (2017) · IEEE Photonics Technology Letters

Optical Wireless Communication TechnologiesOrbital Angular Momentum in Optics

Cited by 94

Streamlined method for determining distribution system hosting capacity

Rylander, M., Smith, J., & Sunderman, W. (2016) · IEEE Transactions on Industry Applications

Optimal Power Flow DistributionElectric Power System Optimization

Cited by 94

Modeling for predicting frosting behavior of a fin–tube heat exchanger

Yang, D.-K., Lee, K.-S., & Song, S. (2006) · International Journal of Heat and Mass Transfer

Heat Transfer and OptimizationIcing and De-icing Technologies

Cited by 94

A Survey on IoT-Enabled Smart Grids: Technologies, Architectures, Applications, and Challenges

Kirmani, S., Mazid, A., Khan, I. A., & Abid, M. (2022) · Sustainability

Smart Grid and Power SystemsSmart Grid Security and Resilience

Cited by 94

Biomechanical model of the human cornea: Considering shear stiffness and regional variation of collagen anisotropy and density

Whitford, C., Studer, H., Boote, C., Meek, K. M., & Elsheikh, A. (2015) · Journal of the Mechanical Behavior of Biomedical Materials

Elasticity and Material ModelingCorneal surgery and disorders

Cited by 94

Modeling methology for nonlinear physiological systems

Marmarelis, V. Z. (1997) · Annals of Biomedical Engineering

Control Systems and IdentificationNeural Networks and Applications

Cited by 94

3D bioprinted vascularized lung cancer organoid models with underlying disease capable of more precise drug evaluation

Choi, Y.-M., Lee, H., Ann, M., Song, M., Rheey, J., & Jang, J. (2023) · Biofabrication

3D Printing in Biomedical ResearchTissue Engineering and Regenerative Medicine

Cited by 94

Multi-Agent Reinforcement Learning for Traffic Signal Control: A Cooperative Approach

Kolat, M., Kővári, B., Bécsi, T., & Aradi, S. (2023) · Sustainability

Traffic control and managementTraffic Prediction and Management Techniques

Cited by 94

Development and Geotechnical Engineering Properties of KLS-1 Lunar Simulant

Ryu, B.-H., Wang, C.-C., & Chang, I. (2018) · Journal of Aerospace Engineering

Soil Mechanics and Vehicle DynamicsPlanetary Science and Exploration

Cited by 94

Asymmetric Magnet-Based Nonlinear Energy Sink

AL-Shudeifat, M. A. (2015) · Journal of Computational and Nonlinear Dynamics

Vibration Control and Rheological FluidsVibration and Dynamic Analysis

Cited by 94

Exploring the safety implications of young drivers’ behavior, attitudes and perceptions

Hassan, H. M., & Abdel-Aty, M. A. (2013) · Accident Analysis & Prevention

Traffic and Road SafetyOlder Adults Driving Studies

Cited by 94

The use of ICT in road freight transport for CO2reduction – an exploratory study of UK’s grocery retail industry

Wang, Y., Sanchez Rodrigues, V., & Evans, L. (2015) · The International Journal of Logistics Management

Transport and Logistics InnovationsSustainable Supply Chain Management

Cited by 94

Intrinsic consensus on SO(3) with almost-global convergence

Tron, R., Afsari, B., & Vidal, R. (2012) · 2012 IEEE 51st IEEE Conference on Decision and Control (CDC)

Distributed Control Multi-Agent SystemsOpinion Dynamics and Social Influence

Cited by 94

The Task-Dependent Efficacy of Shared-Control Haptic Guidance Paradigms

Powell, D., & O'Malley, M. K. (2012) · IEEE Transactions on Haptics

Teleoperation and Haptic SystemsMotor Control and Adaptation

Cited by 94

Corrosion Detection Using A.I : A Comparison of Standard Computer Vision Techniques and Deep Learning Model

Petricca, L., Moss, T., Figueroa, G., & Broen, S. (2016) · Computer Science & Information Technology ( CS & IT )

Industrial Vision Systems and Defect DetectionInfrastructure Maintenance and Monitoring

Cited by 94

Fitbit Charge HR Wireless Heart Rate Monitor: Validation Study Conducted Under Free-Living Conditions

Gorny, A. W., Liew, S. J., Tan, C. S., & Müller-Riemenschneider, F. (2017) · JMIR mHealth and uHealth

Non-Invasive Vital Sign MonitoringPhysical Activity and Health

Cited by 94

Scaling up silicon photonic-based accelerators: Challenges and opportunities

Al-Qadasi, M. A., Chrostowski, L., Shastri, B. J., & Shekhar, S. (2022) · APL Photonics

Photonic and Optical DevicesNeural Networks and Reservoir Computing

Cited by 94

Human microphysiological systems for drug development

Roth, A., & 2019, M.-W. B. (2021) · Science

3D Printing in Biomedical ResearchTissue Engineering and Regenerative Medicine

Cited by 94

Machine learning-enabled optimization of extrusion-based 3D printing

Rahmani Dabbagh, S., Ozcan, O., & Tasoglu, S. (2022) · Methods

Additive Manufacturing and 3D Printing TechnologiesMachine Learning in Materials Science

Cited by 94

Theoretical study on the effect of sensor contact force on pulse transit time

Teng, X.-F., & Zhang, Y.-T. (2007) · IEEE Transactions on Biomedical Engineering

Non-Invasive Vital Sign MonitoringCardiovascular Health and Disease Prevention

Cited by 94

Spatio-Temporal Coordinated V2V Energy Swapping Strategy for Mobile PEVs

Wang, M., Ismail, M., Zhang, R., Shen, X., Serpedin, E., & Qaraqe, K. (2018) · IEEE Transactions on Smart Grid

Electric Vehicles and InfrastructureSmart Grid Energy Management

Cited by 94

Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications

Karlen, W., Ansermino, J. M., & Dumont, G. (2012) · 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control

Cited by 94

High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning

Yan, B. P., Lai, W. H. S., Chan, C. K. Y., Au, A. C. K., Freedman, B., Poh, Y. C., & Poh, M.-Z. (2020) · JAMA Cardiology

Non-Invasive Vital Sign MonitoringECG Monitoring and Analysis

Cited by 94

Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks

Ketyko, I., Kovacs, F., & Varga, K. Z. (2019) · 2019 International Joint Conference on Neural Networks (IJCNN)

Muscle activation and electromyography studiesHand Gesture Recognition Systems

Cited by 94