Check engineering papers: citations, claims and retractions

Synthetic Microvascular Networks for Quantitative Analysis of Particle Adhesion

Prabhakarpandian, B., Pant, K., Scott, R. C., Patillo, C. B., Irimia, D., Kiani, M. F., & Sundaram, S. (2008) · Biomedical Microdevices

Microfluidic and Capillary Electrophoresis ApplicationsMicrofluidic and Bio-sensing Technologies

Cited by 68

Sequential Actuation of Shape-Memory Polymers through Wavelength-Selective Photothermal Heating of Gold Nanospheres and Nanorods

Mishra, S. R., & Tracy, J. B. (2018) · ACS Applied Nano Materials

Advanced Materials and MechanicsPolymer composites and self-healing

Cited by 68

Aging-related neuromuscular changes characterized by tendon reflex system properties

Chung, S. G., van Rey, E. M., Bai, Z., Rogers, M. W., Roth, E. J., & Zhang, L.-Q. (2005) · Archives of Physical Medicine and Rehabilitation

Muscle activation and electromyography studiesMotor Control and Adaptation

Cited by 68

Covalent immobilization of collagen on titanium through polydopamine coating to improve cellular performances of MC3T3-E1 cells

Yu, X., Walsh, J., & Wei, M. (2014) · RSC Advances

Bone Tissue Engineering MaterialsPolymer Surface Interaction Studies

Cited by 68

Recognition of walking environments and gait period by surface electromyography

Kyeong, S., Shin, W., Yang, M., Heo, U., Feng, J.-R., & Kim, J. (2019) · Frontiers of Information Technology & Electronic Engineering

Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics

Cited by 68

A Learning‐Rate Modulable and Reliable TiOx Memristor Array for Robust, Fast, and Accurate Neuromorphic Computing

Jang, J., Gi, S., Yeo, I., Choi, S., Jang, S., Ham, S., Lee, B., & Wang, G. (2022) · Advanced Science

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 68

Determining the parametric structure of models

Cole, D. J., Morgan, B. J. T., & Titterington, D. M. (2010) · Mathematical Biosciences

Control Systems and IdentificationStatistical and numerical algorithms

Cited by 68

Influence of terrain on metabolic and temporal gait characteristics of unilateral transtibial amputees

Paysant, J., Beyaert, C., Dati, A.-M., Martinet, N., & Andr, J.-M. (2006) · The Journal of Rehabilitation Research and Development

Prosthetics and Rehabilitation RoboticsLower Extremity Biomechanics and Pathologies

Cited by 68

Transforming Plastic Waste into Value: A Review of Management Strategies and Innovative Applications in Sustainable Construction

Haba, B., Djellali, S., Abdelouahed, Y., Boudjelida, S., Faleschini, F., & Carraro, M. (2025) · Polymers

Recycling and utilization of industrial and municipal waste in materials productionRecycled Aggregate Concrete Performance

Cited by 68

Transformer machine learning language model for auto-alignment of long-term and short-term plans in construction

Amer, F., Jung, Y., & Golparvar-Fard, M. (2021) · Automation in Construction

BIM and Construction IntegrationTopic Modeling

Cited by 68

Cryogenic operation of silicon photonic modulators based on the DC Kerr effect

Chakraborty, U., Carolan, J., Clark, G., Bunandar, D., Gilbert, G., Notaros, J., Watts, M. R., & Englund, D. R. (2020) · Optica

Photonic and Optical DevicesPhotorefractive and Nonlinear Optics

Cited by 68

Artificial intelligence and physics-based anomaly detection in the smart grid: A survey

Gaggero, G. B., Girdinio, P., & Marchese, M. (2025) · IEEE Access

Smart Grid Security and ResilienceElectricity Theft Detection Techniques

Cited by 67

In situ X-ray pair distribution function analysis of geopolymer gel nanostructure formation kinetics

White, C. E., Provis, J. L., Bloomer, B., Henson, N. J., & Page, K. (2013) · Physical Chemistry Chemical Physics

Concrete and Cement Materials ResearchZeolite Catalysis and Synthesis

Cited by 67

Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference

Rekhi, A. S., Zimmer, B., Nedovic, N., Liu, N., Venkatesan, R., Wang, M., Khailany, B., Dally, W. J., & Gray, C. T. (2019) · Proceedings of the 56th Annual Design Automation Conference 2019

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

Cited by 67

Comparison of regulated emission factors of Euro 6 LDV in Nordic temperatures and cold start conditions: Diesel- and gasoline direct-injection

Weber, C., Sundvor, I., & Figenbaum, E. (2019) · Atmospheric Environment

Vehicle emissions and performanceEngine and Fuel Emissions

Cited by 67

Ultralow sub-500nA operating current high-performance TiN\Al2O3\HfO2\Hf\TiN bipolar RRAM achieved through understanding-based stack-engineering

Goux, L., Fantini, A., Kar, G., Chen, Y.-Y., Jossart, N., Degraeve, R., Clima, S., Govoreanu, B., Lorenzo, G., Pourtois, G., et al. (2012) · 2012 Symposium on VLSI Technology (VLSIT)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 67

Linearized dynamics of Formation Flying spacecraft on a J2-perturbed elliptical orbit

Hamel, J.-F., & de Lafontaine, J. (2007) · Journal of Guidance Control and Dynamics

Spacecraft Dynamics and ControlSpace Satellite Systems and Control

Cited by 67

Integrated perovskite lasers on a silicon nitride waveguide platform by cost-effective high throughput fabrication

Cegielski, P. J., Neutzner, S., Porschatis, C., Lerch, H., Bolten, J., Suckow, S., Kandada, A. R. S., Chmielak, B., Petrozza, A., Wahlbrink, T., et al. (2017) · Optics Express

Photonic and Optical DevicesPerovskite Materials and Applications

Cited by 67

A SiC MOSFET and Si IGBT Hybrid Modular Multilevel Converter With Specialized Modulation Scheme

Yin, T., Xu, C., Lin, L., & Jing, K. (2020) · IEEE Transactions on Power Electronics

HVDC Systems and Fault ProtectionMultilevel Inverters and Converters

Cited by 67

From insects to machines

van Breugel, F., Regan, W., & Lipson, H. (2008) · IEEE Robotics & Automation Magazine

Biomimetic flight and propulsion mechanismsAerospace and Aviation Technology

Cited by 67

Comparative Study on Methylene Methyl Disulfonate (MMDS) and 1,3-Propane Sultone (PS) as Electrolyte Additives for Li-Ion Batteries

Xia, J., Harlow, J. E., Petibon, R., Burns, J. C., Chen, L. P., & Dahn, J. R. (2014) · Journal of The Electrochemical Society

Advancements in Battery MaterialsBattery Modeling and Management

Cited by 67

Determinants of force rise time during isometric contraction of frog muscle fibres

Edman, K. A. P., & Josephson, R. K. (2007) · The Journal of Physiology

Muscle activation and electromyography studiesCardiomyopathy and Myosin Studies

Cited by 67

Development and evaluation of a reference measurement model for assessing the resource and energy efficiency of software products and components—Green software measurement model (GSMM)

Guldner, A., Bender, R., Calero, C., Fernando, G. S., Funke, M., Gröger, J., Hilty, L. M., Hörnschemeyer, J., Hoffmann, G.-D., Junger, D., et al. (2024) · Future Generation Computer Systems

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 67

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

Bugatti, M., & Colosimo, B. M. (2022) · Journal of Intelligent Manufacturing

Additive Manufacturing Materials and ProcessesIndustrial Vision Systems and Defect Detection

Cited by 67