Check engineering papers: citations, claims and retractions

Characterization of Hybrid-nano/Paraffin Organic Phase Change Material for Thermal Energy Storage Applications in Solar Thermal Systems

Pasupathi, M. K., Alagar, K., P, M. J. S., M.M, M., & Aritra, G. (2020) · Energies

Phase Change Materials ResearchAdsorption and Cooling Systems

Cited by 171

One‐Step Process for Creating Triple‐Shape Capability of AB Polymer Networks

Behl, M., Bellin, I., Kelch, S., Wagermaier, W., & Lendlein, A. (2009) · Advanced Functional Materials

Advanced Materials and MechanicsPolymer composites and self-healing

Cited by 171

A systematic investigation of the effect of the fluid shear stress on Caco-2 cells towards the optimization of epithelial organ-on-chip models

Delon, L. C., Guo, Z., Oszmiana, A., Chien, C.-C., Gibson, R., Prestidge, C., & Thierry, B. (2019) · Biomaterials

3D Printing in Biomedical ResearchCellular Mechanics and Interactions

Cited by 171

High-throughput organ-on-a-chip systems: Current status and remaining challenges

Probst, C., Schneider, S., & Loskill, P. (2018) · Current Opinion in Biomedical Engineering

3D Printing in Biomedical ResearchMicrofluidic and Capillary Electrophoresis Applications

Cited by 171

Comparative strengths and structural properties of the upper and lower cervical spine in flexion and extension

Nightingale, R. W., Winkelstein, B. A., Knaub, K. E., Richardson, W. J., Luck, J. F., & Myers, B. S. (2002) · Journal of Biomechanics

Automotive and Human Injury BiomechanicsSpinal Fractures and Fixation Techniques

Cited by 171

High-Throughput In-Memory Computing for Binary Deep Neural Networks With Monolithically Integrated RRAM and 90-nm CMOS

Yin, S., Sun, X., Yu, S., & Seo, J.-S. (2020) · IEEE Transactions on Electron Devices

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

Cited by 171

Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning

Mocanu, E., Nguyen, P. H., Kling, W. L., & Gibescu, M. (2016) · Energy and Buildings

Building Energy and Comfort OptimizationEnergy Load and Power Forecasting

Cited by 171

Strain-Based Temperature Memory Effect for Nafion and Its Molecular Origins

Xie, T., Page, K. A., & Eastman, S. A. (2011) · Advanced Functional Materials

Advanced Materials and MechanicsPolymer composites and self-healing

Cited by 170

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Park, T. H., Martens, M., Lecuyer, G., Izzo, D., & D'Amico, S. (2022) · 2022 IEEE Aerospace Conference (AERO)

Space Satellite Systems and ControlSpacecraft Dynamics and Control

Cited by 170

A*3D Dataset: Towards Autonomous Driving in Challenging Environments

Pham, Q.-H., Sevestre, P., Pahwa, R. S., Zhan, H., Pang, C. H., Chen, Y., Mustafa, A., Chandrasekhar, V., & Lin, J. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 170

Adaptive Neural Control of Stochastic Nonlinear Time-Delay Systems With Multiple Constraints

Wang, T., Qiu, J., & Gao, H. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems

Adaptive Control of Nonlinear SystemsStability and Control of Uncertain Systems

Cited by 170

Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling

Ramos, S., Gehrig, S., Pinggera, P., Franke, U., & Rother, C. (2017) · 2017 IEEE Intelligent Vehicles Symposium (IV)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 170

A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function

Ghiasi, R., Torkzadeh, P., & Noori, M. (2016) · Structural Health Monitoring

Structural Health Monitoring TechniquesMachine Fault Diagnosis Techniques

Cited by 170

Elementary derivation of the perturbation equations of celestial mechanics

Burns, J. A. (1976) · American Journal of Physics

Spacecraft Dynamics and ControlSpace Satellite Systems and Control

Cited by 170

Sustainable aviation fuel prescreening tools and procedures

Heyne, J., Rauch, B., Le Clercq, P., & Colket, M. (2021) · Fuel

Advanced Aircraft Design and TechnologiesHeat transfer and supercritical fluids

Cited by 170

UniSim: A Neural Closed-Loop Sensor Simulator

Yang, Z., Chen, Y., Wang, J., Manivasagam, S., Ma, W.-C., Yang, A. J., & Urtasun, R. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyAdvanced Vision and Imaging

Cited by 170

The Pan-STARRS Moving Object Processing System

Denneau, L., Jedicke, R., Grav, T., Granvik, M., Kubica, J., Milani, A., Vereš, P., Wainscoat, R., Chang, D., Pierfederici, F., et al. (2013) · Publications of the Astronomical Society of the Pacific

Space Satellite Systems and ControlAstro and Planetary Science

Cited by 170

Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning

Dang, H. V., Tran-Ngoc, H., Nguyen, T. V., Bui-Tien, T., De Roeck, G., & Nguyen, H. X. (2021) · IEEE Transactions on Automation Science and Engineering

Structural Health Monitoring TechniquesInfrastructure Maintenance and Monitoring

Cited by 170

Polydopamine-Templated Hydroxyapatite Reinforced Polycaprolactone Composite Nanofibers with Enhanced Cytocompatibility and Osteogenesis for Bone Tissue Engineering

Gao, X., Song, J., Ji, P., Zhang, X., Li, X., Xu, X., Wang, M., Zhang, S., Deng, Y., Deng, F., et al. (2016) · ACS Applied Materials & Interfaces

Bone Tissue Engineering MaterialsElectrospun Nanofibers in Biomedical Applications

Cited by 170

Thin, Flexible Sensors and Actuators as ‘Instrumented’ Surgical Sutures for Targeted Wound Monitoring and Therapy

Kim, D., Wang, S., Keum, H., Ghaffari, R., Kim, Y., Tao, H., Panilaitis, B., Li, M., Kang, Z., Omenetto, F., et al. (2012) · Small

Advanced Sensor and Energy Harvesting MaterialsSurgical Sutures and Adhesives

Cited by 170

Self-Selective Multi-Terminal Memtransistor Crossbar Array for In-Memory Computing

Feng, X., Li, S., Wong, S. L., Tong, S., Chen, L., Zhang, P., Wang, L., Fong, X., Chi, D., & Ang, K.-W. (2021) · ACS Nano

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 170

Natural Polymers for Organ 3D Bioprinting

Liu, F., Chen, Q., Liu, C., Ao, Q., Tian, X., Fan, J., Tong, H., & Wang, X. (2018) · Polymers

3D Printing in Biomedical ResearchHydrogels: synthesis, properties, applications

Cited by 170

Impact of Non-Ideal Characteristics of Resistive Synaptic Devices on Implementing Convolutional Neural Networks

Sun, X., & Yu, S. (2019) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 170

Lab-on-chip technology for chronic disease diagnosis

Wu, J., Dong, M., Rigatto, C., Liu, Y., & Lin, F. (2018) · npj Digital Medicine

Microfluidic and Capillary Electrophoresis ApplicationsBiosensors and Analytical Detection

Cited by 170