Check engineering papers: citations, claims and retractions

CE for cytokinin analyses: A review

Ge, L., Tan, S., Yong, J. W. H., & Tan, S. N. (2006) · ELECTROPHORESIS

Microfluidic and Capillary Electrophoresis ApplicationsAnalytical Chemistry and Chromatography

Cited by 23

Frequency dependent viscoelastic properties of porcine brain tissue

Li, W., Shepherd, D. E. T., & Espino, D. M. (2020) · Journal of the Mechanical Behavior of Biomedical Materials

Elasticity and Material ModelingAutomotive and Human Injury Biomechanics

Cited by 23

Re-Engineering of an Impeller for Submersible Electric Pump to Be Produced by Selective Laser Melting

Ponticelli, G. S., Tagliaferri, F., Venettacci, S., Horn, M., Giannini, O., & Guarino, S. (2021) · Applied Sciences

Additive Manufacturing Materials and ProcessesAdditive Manufacturing and 3D Printing Technologies

Cited by 23

All-silicon microring avalanche photodiodes with a >65 A/W response

Peng, Y., Yuan, Y., Sorin, W. V., Cheung, S., Huang, Z., Fiorentino, M., & Beausoleil, R. G. (2023) · Optics Letters

Photonic and Optical DevicesSemiconductor Lasers and Optical Devices

Cited by 23

Rehabilitation environments: Service users’ perspective

Killington, M., Fyfe, D., Patching, A., Habib, P., McNamara, A., Kay, R., Kochiyil, V., & Crotty, M. (2019) · Health Expectations

Healthcare Facilities Design and SustainabilityMedical Practices and Rehabilitation

Cited by 23

Collaborative Robotics in Construction: A Test Case on Screwing Gypsum Boards on Ceiling

Gautam, M., Fagerlund, H., Greicevci, B., Christophe, F., & Havula, J. (2020) · 2020 5th International Conference on Green Technology and Sustainable Development (GTSD)

Robot Manipulation and LearningRobotics and Automated Systems

Cited by 23

Motion Policy Networks

Fishman, A., Murali, A., Eppner, C., Peele, B., Boots, B., & Fox, D. (2022) · arXiv

Robot Manipulation and LearningRobotic Path Planning Algorithms

Cited by 23

Load Shifting Agents for Automated Demand Side Management in Micro Energy Grids

Deindl, M., Block, C., Vahidov, R., & Neumann, D. (2008) · 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems

Smart Grid Energy ManagementMicrogrid Control and Optimization

Cited by 23

Detection of False Data Injection of PV Production

Riggs, H., Tufail, S., Khan, M., Parvez, I., & Sarwat, A. I. (2021) · 2021 IEEE Green Technologies Conference (GreenTech)

Smart Grid Security and ResilienceElectricity Theft Detection Techniques

Cited by 23

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

Gu, J., Xiang, F., Li, X., Ling, Z., Liu, X., Mu, T., Tang, Y., Tao, S., Wei, X., Yao, Y., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 23

Learning to control planar hitting motions in a minigolf-like task

Kronander, K., Khansari-Zadeh, M. S. M., & Billard, A. (2011) · 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 23

A system identification approach for improving behavioral interventions based on Social Cognitive Theory

Martin, C. A., Deshpande, S., Hekler, E. B., & Rivera, D. E. (2015) · 2015 American Control Conference (ACC)

Control Systems and IdentificationMobile Health and mHealth Applications

Cited by 23

Disruptive Innovations and Disruptive Assurance: Assuring Machine Learning and Autonomy

Bloomfield, R., Khlaaf, H., Ryan Conmy, P., & Fletcher, G. (2019) · Computer

Safety Systems Engineering in AutonomyExplainable Artificial Intelligence (XAI)

Cited by 23

Should persons with diabetes be licensed to drive trucks?—Risk management

Lave, L. B., Songer, T. J., & LaPorte, R. E. (1993) · Risk Analysis

Traffic and Road SafetyRisk and Safety Analysis

Cited by 23

Demand-Based Control Design for Efficient Heat Pump Operation of Electric Vehicles

Dvorak, D., Basciotti, D., & Gellai, I. (2020) · Energies

Refrigeration and Air Conditioning TechnologiesElectric and Hybrid Vehicle Technologies

Cited by 23

Multispectral optoacoustic tomography (MSOT) for imaging the particle size-dependent intratumoral distribution of polymeric micelles

Cong, Z., Yang, F., Cao, L., Wen, H., Fu, T., Ma, S., Liu, C., Quan, L., & Liao, Y. (2018) · International Journal of Nanomedicine

Photoacoustic and Ultrasonic ImagingNanoparticle-Based Drug Delivery

Cited by 23

Reliability analysis of the hysteretic nonlinear energy sink in shock mitigation considering uncertainties

Tsiatas, G. C., & Karatzia, D. A. (2020) · Journal of Vibration and Control

Vibration Control and Rheological FluidsProbabilistic and Robust Engineering Design

Cited by 23

Grid-connected cabin preheating of Electric Vehicles in cold climates – A non-flexible share of the EV energy use

Sørensen, Å. L., Ludvigsen, B., & Andresen, I. (2023) · Applied Energy

Electric Vehicles and InfrastructureSmart Grid Energy Management

Cited by 23

A stay cable with viscous damper and tuned mass damper

Cu, V. H., & Han, B. (2015) · Australian Journal of Structural Engineering

Vibration Control and Rheological FluidsStructural Engineering and Vibration Analysis

Cited by 23

Industrial Internet of Things: Trends and Challenges

Serpanos, D. (2024) · Computer

Digital Transformation in IndustryIoT and Edge/Fog Computing

Cited by 23

Revealing Trapped Carrier Dynamics at Buried Interfaces in Perovskite Solar Cells via Infrared‐Modulated Action Spectroscopy with Surface Photovoltage Detection

Hu, B., Zhang, T., Li, L., Ning, H., Min, G., Wang, T., Chen, M., Pan, J., Xu, N., Macdonald, T. J., et al. (2025) · Advanced Materials

Perovskite Materials and ApplicationsOrganic Electronics and Photovoltaics

Cited by 23

Dual-resonator Lamb wave strain sensor with temperature compensation and enhanced sensitivity

Dou, S., Cao, J., Zhou, H., Chen, C., Wang, Y., Yang, J., Wang, D., Shang, Z., & Mu, X. (2018) · Applied Physics Letters

Acoustic Wave Resonator TechnologiesUltrasonics and Acoustic Wave Propagation

Cited by 23

Electric Vehicle Fire Risk Assessment Based on WBS-RBS and Fuzzy BN Coupling

Chen, J., Li, K., & Yang, S. (2022) · Mathematics

Risk and Safety AnalysisEvaluation and Optimization Models

Cited by 23

Hybrid model predictive control for optimizing gestational weight gain behavioral interventions

Dong, Y., Rivera, D. E., Downs, D. S., Savage, J. S., Thomas, D. M., & Collins, L. M. (2013) · 2013 American Control Conference

Advanced Control Systems OptimizationGestational Diabetes Research and Management

Cited by 23