Most cited engineering papers
- Verified
Disturbance Compensating Model Predictive Control With Application to Ship Heading Control
Li, Z., & Sun, J. (2011) · IEEE Transactions on Control Systems Technology
Advanced Control Systems OptimizationShip Hydrodynamics and Maneuverability
Cited by 168
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System-on-Chip Photonic Integrated Circuits
Kish, F., Lal, V., Evans, P., Corzine, S. W., Ziari, M., Butrie, T., Reffle, M., Tsai, H.-S., Dentai, A., Pleumeekers, J., et al. (2018) · IEEE Journal of Selected Topics in Quantum Electronics
Photonic and Optical DevicesSemiconductor Lasers and Optical Devices
Cited by 168
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Investigation on bond strength between recycled aggregate concrete (RAC) and steel tube in RAC-filled steel tubes
Lyu, W.-Q., & Han, L.-H. (2019) · Journal of Constructional Steel Research
Structural Load-Bearing AnalysisRecycled Aggregate Concrete Performance
Cited by 168
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Reliability of neuromuscular measurements during explosive isometric contractions, with special reference to electromyography normalization techniques
Buckthorpe, M. W., Hannah, R., Pain, T. G., & Folland, J. P. (2012) · Muscle & Nerve
Muscle activation and electromyography studiesSports Performance and Training
Cited by 168
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Composite living fibers for creating tissue constructs using textile techniques
Akbari, M., Tamayol, A., Laforte, V., Annabi, N., Najafabadi, A. H., Khademhosseini, A., & Juncker, D. (2014) · Advanced Functional Materials
3D Printing in Biomedical ResearchElectrospun Nanofibers in Biomedical Applications
Cited by 167
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Industry 4.0 reference architectures: State of the art and future trends
Nakagawa, E. Y., Antonino, P. O., Schnicke, F., Capilla, R., Kuhn, T., & Liggesmeyer, P. (2021) · Computers & Industrial Engineering
Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems
Cited by 167
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High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays
Merrikh-Bayat, F., Guo, X., Klachko, M., Prezioso, M., Likharev, K. K., & Strukov, D. B. (2018) · IEEE Transactions on Neural Networks and Learning Systems
Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design
Cited by 167
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Waveguide-integrated superconducting nanowire single-photon detectors
Ferrari, S., Schuck, C., & Pernice, W. (2017) · Nanophotonics
Superconducting and THz Device TechnologyQuantum Information and Cryptography
Cited by 167
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Agriculture for space: People and places paving the way
Wheeler, R. M. (2017) · Open Agriculture
Space Exploration and TechnologySpace exploration and regulation
Cited by 167
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Industry 4.0 implementation: environmental and social sustainability in manufacturing multinational enterprises
Ferreira, J. J., Lopes, J. M., Gomes, S., & Rammal, H. G. (2023) · Journal of Cleaner Production
Digital Transformation in IndustryImpact of AI and Big Data on Business and Society
Cited by 167
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An electrospun triphasic nanofibrous scaffold for bone tissue engineering
Catledge, S. A., Clem, W. C., Shrikishen, N., Chowdhury, S., Stanishevsky, A. V., Koopman, M., & Vohra, Y. K. (2007) · Biomedical Materials
Bone Tissue Engineering MaterialsElectrospun Nanofibers in Biomedical Applications
Cited by 167
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Driving on biomass
Ohlrogge, J., Allen, D., Berguson, B., DellaPenna, D., Shachar-Hill, Y., & Stymne, S. (2009) · Science
Biofuel production and bioconversionThermochemical Biomass Conversion Processes
Cited by 167
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A deep learning approach for fault diagnosis of induction motors in manufacturing
Shao, S.-Y., Sun, W.-J., Yan, R.-Q., Wang, P., & Gao, R. X. (2017) · Chinese Journal of Mechanical Engineering
Machine Fault Diagnosis TechniquesFault Detection and Control Systems
Cited by 167
- Verified · note
Global collaboration on road traffic injury prevention
Peden, M. (2005) · International Journal of Injury Control and Safety Promotion
Traffic and Road SafetyInjury Epidemiology and Prevention
Cited by 167
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Multi-level memory-switching properties of a single brain microtubule
Sahu, S., Ghosh, S., Hirata, K., Fujita, D., & Bandyopadhyay, A. (2013) · Applied Physics Letters
Advanced Memory and Neural ComputingMolecular Junctions and Nanostructures
Cited by 167
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Mitochondrial DNA Targets Increase Sensitivity of Malaria Detection Using Loop-Mediated Isothermal Amplification
Polley, S. D., Mori, Y., Watson, J., Perkins, M. D., González, I. J., Notomi, T., Chiodini, P. L., & Sutherland, C. J. (2010) · Journal of Clinical Microbiology
Biosensors and Analytical DetectionMalaria Research and Control
Cited by 167
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Recent Progress in Daytime Radiative Cooling: Is It the Air Conditioner of the Future?
Santamouris, M., & Feng, J. (2018) · Buildings
Thermal Radiation and Cooling TechnologiesMetamaterials and Metasurfaces Applications
Cited by 167
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Relating flame radiation to home ignition using modeling and experimental crown fires
Cohen, J. D. (2004) · Canadian Journal of Forest Research
Fire dynamics and safety researchFire effects on ecosystems
Cited by 167
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BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Jang, E., Irpan, A., Khansari, M., Kappler, D., Ebert, F., Lynch, C., Levine, S., & Finn, C. (2022) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 167
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Integrated silicon photonic MEMS
Quack, N., Takabayashi, A. Y., Sattari, H., Edinger, P., Jo, G., Bleiker, S. J., Errando-Herranz, C., Gylfason, K. B., Niklaus, F., Khan, U., et al. (2023) · Microsystems & Nanoengineering
Photonic and Optical DevicesAdvanced MEMS and NEMS Technologies
Cited by 167
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Self-Healable Sensors Based Nanoparticles for Detecting Physiological Markers via Skin and Breath: Toward Disease Prevention via Wearable Devices
Jin, H., Huynh, T.-P., & Haick, H. (2016) · Nano Letters
Advanced Sensor and Energy Harvesting MaterialsAdvanced Chemical Sensor Technologies
Cited by 167
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Modeling the closed-current loop of PWM boost DC-DC converters operating in CCM with peak current-mode control
Bryant, B., & Kazimierczuk, M. K. (2005) · IEEE Transactions on Circuits and Systems I: Regular Papers
Advanced DC-DC ConvertersAdvanced Control Systems Design
Cited by 167
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Elucidating the role of disorder and free-carrier recombination kinetics in CH3NH3PbI3 perovskite films
La-o-vorakiat, C., Salim, T., Kadro, J., Khuc, M.-T., Haselsberger, R., Cheng, L., Xia, H., Gurzadyan, G. G., Su, H., Lam, Y. M., et al. (2015) · Nature Communications
Perovskite Materials and ApplicationsOrganic Electronics and Photovoltaics
Cited by 167
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Framework for sustainable food packaging design
Grönman, K., Soukka, R., Järvi‐Kääriäinen, T., Katajajuuri, J., Kuisma, M., Koivupuro, H., Ollila, M., Pitkänen, M., Miettinen, O., Silvenius, F., et al. (2013) · Packaging Technology and Science
Sustainable Design and DevelopmentConsumer Packaging Perceptions and Trends
Cited by 167
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