Most cited engineering papers
- Verified
Fabrication and Biomedical Application of Alginate Composite Hydrogels in Bone Tissue Engineering: A Review
Chen, X., Wu, T., Bu, Y., Yan, H., & Lin, Q. (2024) · International Journal of Molecular Sciences
Bone Tissue Engineering MaterialsHydrogels: synthesis, properties, applications
Cited by 88
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A theoretical study of membrane constraint in polymer‐electrolyte fuel cells
Weber, A. Z., & Newman, J. (2004) · AIChE Journal
Fuel Cells and Related MaterialsAdvancements in Solid Oxide Fuel Cells
Cited by 88
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An Experimental Determination of the Propagation of Fluid Oscillations in a Tube with a Visco-elastic Wall; together with an Analysis of the Characteristics Required in an Electrical Analogue
Taylor, M. G. (1959) · Physics in Medicine and Biology
Elasticity and Material ModelingCardiovascular Health and Disease Prevention
Cited by 88
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Spatial Spectrum Sharing for Satellite and Terrestrial Communication Networks
Zhang, C., Jiang, C., Kuang, L., Jin, J., He, Y., & Han, Z. (2019) · IEEE Transactions on Aerospace and Electronic Systems
Satellite Communication SystemsCognitive Radio Networks and Spectrum Sensing
Cited by 88
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Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Hua, M., Qi, X., Chen, D., Jiang, K., Liu, Z. E., Sun, H., Zhou, Q., & Xu, H. (2025) · IEEE Transactions on Automation Science and Engineering
Traffic control and managementAutonomous Vehicle Technology and Safety
Cited by 88
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Computational study of critical moisture and depth of burn in peat fires
Huang, X., & Rein, G. (2015) · International Journal of Wildland Fire
Fire dynamics and safety researchFire effects on ecosystems
Cited by 88
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Bias-drift-free Mach–Zehnder modulators based on a heterogeneous silicon and lithium niobate platform
Sun, S., He, M., Xu, M., Gao, S., Chen, Z., Zhang, X., Ruan, Z., Wu, X., Zhou, L., Liu, L., et al. (2020) · Photonics Research
Photonic and Optical DevicesPhotorefractive and Nonlinear Optics
Cited by 88
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Machine‐Learning Modeling for Ultra‐Stable High‐Efficiency Perovskite Solar Cells
Hu, Y., Hu, X., Zhang, L., Zheng, T., You, J., Jia, B., Ma, Y., Du, X., Zhang, L., Wang, J., et al. (2022) · Advanced Energy Materials
Perovskite Materials and ApplicationsMachine Learning in Materials Science
Cited by 88
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Effects of office innovation on office workers' health and performance
Meijer, E. M., Frings-Dresen, M. H. W., & Sluiter, J. K. (2009) · Ergonomics
Facilities and Workplace ManagementErgonomics and Musculoskeletal Disorders
Cited by 88
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The Incredible Shrinking Motor Drive: Accelerating the Transition to Integrated Motor Drives
Jahns, T. M., & Sarlioglu, B. (2020) · IEEE Power Electronics Magazine
Electric Motor Design and AnalysisElectric and Hybrid Vehicle Technologies
Cited by 88
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Model-Predictive Current Control of Modular Multilevel Converters With Phase-Shifted Pulsewidth Modulation
Zhou, D., Yang, S., & Tang, Y. (2019) · IEEE Transactions on Industrial Electronics
Multilevel Inverters and ConvertersHVDC Systems and Fault Protection
Cited by 88
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Demand-side bidding agents: modeling and simulation
Oh, H. S., & Thomas, R. J. (2008) · IEEE Transactions on Power Systems
Electric Power System OptimizationSmart Grid Energy Management
Cited by 88
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A mathematical model of force transmission from intrafascicularly terminating muscle fibers
Sharafi, B., & Blemker, S. S. (2011) · Journal of Biomechanics
Muscle activation and electromyography studiesElasticity and Material Modeling
Cited by 88
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Challenges of Bone Tissue Engineering in Orthopaedic Patients
Guerado, E., & Caso, E. (2017) · World Journal of Orthopedics
Bone Tissue Engineering MaterialsBone fractures and treatments
Cited by 88
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Plug-and-Simulate within Modular Assembly Line enabled by Digital Twins and the use of AutomationML
Um, J., Weyer, S., & Quint, F. (2017) · IFAC-PapersOnLine
Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems
Cited by 88
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Effects of ionomer and dispersion methods on rheological behavior of proton exchange membrane fuel cell catalyst layer ink
Du, S., Li, W., Wu, H., Abel Chuang, P.-Y., Pan, M., & Sui, P.-C. (2020) · International Journal of Hydrogen Energy
Fuel Cells and Related MaterialsElectrocatalysts for Energy Conversion
Cited by 88
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Freshwater production from the motion of ocean waves – A review
Leijon, J., & Boström, C. (2018) · Desalination
Wave and Wind Energy SystemsMembrane Separation Technologies
Cited by 88
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Biomimetic temperature-sensing layer for artificial skins
Di Giacomo, R., Bonanomi, L., Costanza, V., Maresca, B., & Daraio, C. (2017) · Science Robotics
Advanced Materials and MechanicsAdvanced Sensor and Energy Harvesting Materials
Cited by 88
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Pretreatment of Pennisetum sinese silages with ferulic acid esterase-producing lactic acid bacteria and cellulase at two dry matter contents: Fermentation characteristics, carbohydrates composition and enzymatic saccharification
Li, F., Ke, W., Ding, Z., Bai, J., Zhang, Y., Xu, D., Li, Z., & Guo, X. (2020) · Bioresource Technology
Biofuel production and bioconversionRuminant Nutrition and Digestive Physiology
Cited by 88
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A Novel State-of-Health Estimation for Lithium-Ion Battery via Unscented Kalman Filter and Improved Unscented Particle Filter
Zhu, F., & Fu, J. (2021) · IEEE Sensors Journal
Battery Modeling and ManagementControl Systems and Identification
Cited by 88
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Multiplexed drug testing of tumor slices using a microfluidic platform
Horowitz, L. F., Rodriguez, A. D., Dereli-Korkut, Z., Lin, R., Castro, K., Mikheev, A. M., Monnat, R. J., Folch, A., & Rostomily, R. C. (2020) · npj Precision Oncology
Microfluidic and Capillary Electrophoresis Applications3D Printing in Biomedical Research
Cited by 88
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A hybrid structural health monitoring approach for damage detection in steel bridges under simulated environmental conditions using numerical and experimental data
Svendsen, B. T., Øiseth, O., Frøseth, G. T., & Rønnquist, A. (2023) · Structural Health Monitoring
Structural Health Monitoring TechniquesStructural Engineering and Materials Analysis
Cited by 88
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Wireless, remote solution for home fetal and maternal heart rate monitoring
Mhajna, M., Schwartz, N., Levit-Rosen, L., Warsof, S., Lipschuetz, M., Jakobs, M., Rychik, J., Sohn, C., & Yagel, S. (2020) · American Journal of Obstetrics & Gynecology MFM
Non-Invasive Vital Sign MonitoringECG Monitoring and Analysis
Cited by 88
- Verified
High-resolution THz spectrometer with kHz scan rates
Bartels, A., Thoma, A., Janke, C., Dekorsy, T., Dreyhaupt, A., Winnerl, S., & Helm, M. (2006) · Optics Express
Terahertz technology and applicationsLaser-Matter Interactions and Applications
Cited by 88
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