Check engineering papers: citations, claims and retractions

Perspective: The future of quantum dot photonic integrated circuits

Norman, J. C., Jung, D., Wan, Y., & Bowers, J. E. (2018) · APL Photonics

Photonic and Optical DevicesSemiconductor Quantum Structures and Devices

Cited by 272

Hybrid integration methods for on-chip quantum photonics

Kim, J.-H., Aghaeimeibodi, S., Carolan, J., Englund, D., & Waks, E. (2020) · Optica

Photonic and Optical DevicesSemiconductor Quantum Structures and Devices

Cited by 272

Fast and Sensitive Colloidal Quantum Dot Mid-Wave Infrared Photodetectors

Ackerman, M. M., Tang, X., & Guyot-Sionnest, P. (2018) · ACS Nano

Advanced Semiconductor Detectors and MaterialsQuantum Dots Synthesis And Properties

Cited by 272

A Comprehensive Review Toward the State-of-the-Art in Failure and Lifetime Predictions of Power Electronic Devices

Hanif, A., Yu, Y., DeVoto, D., & Khan, F. (2019) · IEEE Transactions on Power Electronics

Silicon Carbide Semiconductor TechnologiesReliability and Maintenance Optimization

Cited by 272

How UGVs physically fail in the field

Carlson, J., & Murphy, R. R. (2005) · IEEE Transactions on Robotics

Robotics and Automated SystemsControl and Dynamics of Mobile Robots

Cited by 272

Measurement of power loss during electric vehicle charging and discharging

Apostolaki-Iosifidou, E., Codani, P., & Kempton, W. (2017) · Energy

Electric Vehicles and InfrastructureElectric and Hybrid Vehicle Technologies

Cited by 272

422 Million intrinsic quality factor planar integrated all-waveguide resonator with sub-MHz linewidth

Puckett, M. W., Liu, K., Chauhan, N., Zhao, Q., Jin, N., Cheng, H., Wu, J., Behunin, R. O., Rakich, P. T., Nelson, K. D., et al. (2021) · Nature Communications

Photonic and Optical DevicesPhotorefractive and Nonlinear Optics

Cited by 271

High speed resistive switching in Pt∕TiO2∕TiN film for nonvolatile memory application

Yoshida, C., Tsunoda, K., Noshiro, H., & Sugiyama, Y. (2007) · Applied Physics Letters

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 271

H ISTORICAL AND F UTURE T RENDS IN A IRCRAFT P ERFORMANCE, C OST, AND E MISSIONS

Lee, J. J., Lukachko, S. P., Waitz, I. A., & Schafer, A. (2001) · Annual Review of Energy and the Environment

Advanced Aircraft Design and TechnologiesAviation Industry Analysis and Trends

Cited by 271

Walknet—a biologically inspired network to control six-legged walking

Cruse, H., Kindermann, T., Schumm, M., Dean, J., & Schmitz, J. (1998) · Neural Networks

Robotic Locomotion and ControlNeurobiology and Insect Physiology Research

Cited by 271

Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture

Jain, A., Singh, A., Koppula, H. S., Soh, S., & Saxena, A. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)

Autonomous Vehicle Technology and SafetyHuman-Automation Interaction and Safety

Cited by 271

A novel deeper one-dimensional CNN with residual learning for fault diagnosis of wheelset bearings in high-speed trains

Peng, D., Liu, Z., Wang, H., Qin, Y., & Jia, L. (2019) · IEEE Access

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 271

A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

Nimalsiri, N. I., Mediwaththe, C. P., Ratnam, E. L., Shaw, M., Smith, D. B., & Halgamuge, S. K. (2020) · IEEE Transactions on Intelligent Transportation Systems

Electric Vehicles and InfrastructureSmart Grid Energy Management

Cited by 271

Engineering biomaterials to integrate and heal: The biocompatibility paradigm shifts

Bryers, J. D., Giachelli, C. M., & Ratner, B. D. (2012) · Biotechnology and Bioengineering

Bone Tissue Engineering MaterialsTissue Engineering and Regenerative Medicine

Cited by 271

Effects of inhomogeneities - nanoscale to mesoscale - on the durability of Li-Ion batteries

Harris, S. J., & Lu, P. (2013) · The Journal of Physical Chemistry C

Advancements in Battery MaterialsBattery Modeling and Management

Cited by 271

Structural and Photophysical Properties of Methylammonium Lead Tribromide (MAPbBr3) Single Crystals

Wang, K.-H., Li, L.-C., Shellaiah, M., & Wen Sun, K. (2017) · Scientific Reports

Perovskite Materials and ApplicationsQuantum Dots Synthesis And Properties

Cited by 271

Engineering the multiscale complexity of vascular networks

O’Connor, C., Brady, E., Zheng, Y., Moore, E., & Stevens, K. R. (2022) · Nature Reviews Materials

3D Printing in Biomedical ResearchTissue Engineering and Regenerative Medicine

Cited by 271

Soft x-ray reduction lithography using multilayer mirrors

Kinoshita, H., Kurihara, K., Ishii, Y., & Torii, Y. (1989) · Journal of Vacuum Science & Technology B: Microelectronics Processing and Phenomena

Advancements in Photolithography TechniquesAdvanced X-ray Imaging Techniques

Cited by 270

Strategies for Applying the Circular Economy to Prefabricated Buildings

Minunno, R., O’Grady, T., Morrison, G. M., Gruner, R. L., & Colling, M. (2018) · Buildings

BIM and Construction IntegrationSustainable Supply Chain Management

Cited by 270

Personalised organs-on-chips: functional testing for precision medicine

van den Berg, A., Mummery, C. L., Passier, R., & van der Meer, A. D. (2019) · Lab on a Chip

3D Printing in Biomedical ResearchMicrofluidic and Capillary Electrophoresis Applications

Cited by 270

Smart structures: Part I—Active and semi-active control

Fisco, N. R., & Adeli, H. (2011) · Scientia Iranica

Vibration Control and Rheological FluidsAeroelasticity and Vibration Control

Cited by 270

A hybrid nanomemristor/transistor logic circuit capable of self-programming

Borghetti, J., Li, Z., Straznicky, J., Li, X., Ohlberg, D. A. A., Wu, W., Stewart, D. R., & Williams, R. S. (2009) · Proceedings of the National Academy of Sciences

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 270

On-Board Microgrids for the More Electric Aircraft—Technology Review

Buticchi, G., Bozhko, S., Liserre, M., Wheeler, P., & Al-Haddad, K. (2019) · IEEE Transactions on Industrial Electronics

Microgrid Control and OptimizationMultilevel Inverters and Converters

Cited by 270

Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning

Brunton, S. L., Nathan Kutz, J., Manohar, K., Aravkin, A. Y., Morgansen, K., Klemisch, J., Goebel, N., Buttrick, J., Poskin, J., Blom-Schieber, A. W., et al. (2021) · AIAA Journal

Advanced Aircraft Design and TechnologiesAerospace Engineering and Applications

Cited by 270