Check engineering papers: citations, claims and retractions

Wearable sensor-based real-time gait detection: A systematic review

Prasanth, H., Caban, M., Keller, U., Courtine, G., Ijspeert, A., Vallery, H., & von Zitzewitz, J. (2021) · Sensors

Gait Recognition and AnalysisContext-Aware Activity Recognition Systems

Cited by 348

Subspace-based signal analysis using singular value decomposition

Van Der Veen, A.-J., Deprettere, E. F., & Swindlehurst, A. L. (1993) · Proceedings of the IEEE

Control Systems and IdentificationStatistical and numerical algorithms

Cited by 348

Origin of the Ultra‐nonlinear Switching Kinetics in Oxide‐Based Resistive Switches

Menzel, S., Waters, M., Marchewka, A., Böttger, U., Dittmann, R., & Waser, R. (2011) · Advanced Functional Materials

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 348

The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations

Brous, P., Janssen, M., & Herder, P. (2020) · International Journal of Information Management

Digital Transformation in IndustryInternet of Things and AI

Cited by 348

Biomimetic tactile sensor array

Wettels, N., Santos, V. J., Johansson, R. S., & Loeb, G. E. (2008) · Advanced Robotics

Advanced Sensor and Energy Harvesting MaterialsTactile and Sensory Interactions

Cited by 348

Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring

Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L. (2021) · Biosensors

Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control

Cited by 348

3D printed reversible shape changing components with stimuli responsive materials

Mao, Y., Ding, Z., Yuan, C., Ai, S., Isakov, M., Wu, J., Wang, T., Dunn, M. L., & Qi, H. J. (2016) · Scientific Reports

Advanced Materials and MechanicsAdditive Manufacturing and 3D Printing Technologies

Cited by 348

Design of Diketopyrrolopyrrole (DPP)‐Based Small Molecules for Organic‐Solar‐Cell Applications

Tang, A., Zhan, C., Yao, J., & Zhou, E. (2017) · Advanced Materials

Organic Electronics and PhotovoltaicsOrganic Light-Emitting Diodes Research

Cited by 348

Assessing, Understanding and Unlocking Supplementary Cementitious Materials

Snellings, R. (2016) · RILEM Technical Letters

Concrete and Cement Materials ResearchMaterials Engineering and Processing

Cited by 348

Self-powered cardiovascular electronic devices and systems

Zheng, Q., Tang, Q., Wang, Z. L., & Li, Z. (2021) · Nature Reviews Cardiology

Innovative Energy Harvesting TechnologiesAdvanced Sensor and Energy Harvesting Materials

Cited by 348

Physical-Layer Security in the Internet of Things: Sensing and Communication Confidentiality Under Resource Constraints

Mukherjee, A. (2015) · Proceedings of the IEEE

Wireless Communication Security TechniquesSecurity in Wireless Sensor Networks

Cited by 347

Differences in lower-extremity muscular activation during walking between healthy older and young adults

Schmitz, A., Silder, A., Heiderscheit, B., Mahoney, J., & Thelen, D. G. (2009) · Journal of Electromyography and Kinesiology

Muscle activation and electromyography studiesBalance, Gait, and Falls Prevention

Cited by 347

Lab on a chip for continuous-flow magnetic cell separation

Hejazian, M., Li, W., & Nguyen, N.-T. (2015) · Lab on a Chip

Microfluidic and Bio-sensing TechnologiesMicrofluidic and Capillary Electrophoresis Applications

Cited by 347

Synthesis of hard carbon from argan shells for Na-ion batteries

Dahbi, M., Kiso, M., Kubota, K., Horiba, T., Chafik, T., Hida, K., Matsuyama, T., & Komaba, S. (2017) · Journal of Materials Chemistry A

Advancements in Battery MaterialsSupercapacitor Materials and Fabrication

Cited by 347

A numerical‐experimental method to characterize the non‐linear mechanical behaviour of human skin

Hendriks, F. M., Brokken, D., Van Eemeren, J. T. W. M., Oomens, C. W. J., Baaijens, F. P. T., & Horsten, J. B. A. M. (2003) · Skin Research and Technology

Elasticity and Material ModelingCellular Mechanics and Interactions

Cited by 347

The modelling and operations for the digital twin in the context of manufacturing

Bao, J., Guo, D., Li, J., & Zhang, J. (2019) · Enterprise Information Systems

Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems

Cited by 347

A 3.1 mW 8b 1.2 GS/s Single-Channel Asynchronous SAR ADC With Alternate Comparators for Enhanced Speed in 32 nm Digital SOI CMOS

Kull, L., Toifl, T., Schmatz, M., Francese, P. A., Menolfi, C., Brandli, M., Kossel, M., Morf, T., Andersen, T. M., & Leblebici, Y. (2013) · IEEE Journal of Solid-State Circuits

Analog and Mixed-Signal Circuit DesignRadio Frequency Integrated Circuit Design

Cited by 347

Runaway risk of forming toxic compounds

Hammami, A., Raymond, N., & Armand, M. (2003) · Nature

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 346

15.3 A 351TOPS/W and 372.4GOPS Compute-in-Memory SRAM Macro in 7nm FinFET CMOS for Machine-Learning Applications

Dong, Q., Sinangil, M. E., Erbagci, B., Sun, D., Khwa, W.-S., Liao, H.-J., Wang, Y., & Chang, J. (2020) · 2020 IEEE International Solid- State Circuits Conference - (ISSCC)

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 346

Nonvolatile Memory and Programmable Logic from Molecule-Gated Nanowires

Duan, X., Huang, Y., & Lieber, C. M. (2002) · Nano Letters

Molecular Junctions and NanostructuresAdvanced Memory and Neural Computing

Cited by 346

Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA

Yang, Z., Bonsall, S., & Wang, J. (2008) · IEEE Transactions on Reliability

Risk and Safety AnalysisMulti-Criteria Decision Making

Cited by 346

Airborne Wind Energy Systems: A review of the technologies

Cherubini, A., Papini, A., Vertechy, R., & Fontana, M. (2015) · Renewable and Sustainable Energy Reviews

Aerospace Engineering and Energy SystemsWind Energy Research and Development

Cited by 346

A Deep Learning Framework for Optimization of MISO Downlink Beamforming

Xia, W., Zheng, G., Zhu, Y., Zhang, J., Wang, J., & Petropulu, A. P. (2020) · IEEE Transactions on Communications

Advanced MIMO Systems OptimizationAdvanced Wireless Network Optimization

Cited by 345

Steel defect classification with Max-Pooling Convolutional Neural Networks

Masci, J., Meier, U., Ciresan, D., Schmidhuber, J., & Fricout, G. (2012) · The 2012 International Joint Conference on Neural Networks (IJCNN)

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 345